id	sid	tid	token	lemma	pos
ajmsi-1979	1	1	pa	pa	PROPN
ajmsi-1979	1	2	ge	ge	PROPN
ajmsi-1979	1	3	1	1	NUM
ajmsi-1979	1	4	pa	pa	PROPN
ajmsi-1979	1	5	ge	ge	PROPN
ajmsi-1979	1	6	97	97	NUM
ajmsi-1979	1	7	american	american	PROPN
ajmsi-1979	1	8	journal	journal	PROPN
ajmsi-1979	1	9	of	of	ADP
ajmsi-1979	1	10	medical	medical	ADJ
ajmsi-1979	1	11	science	science	NOUN
ajmsi-1979	1	12	and	and	CCONJ
ajmsi-1979	1	13	innovation	innovation	NOUN
ajmsi-1979	1	14	(	(	PUNCT
ajmsi-1979	1	15	ajmsi	ajmsi	NOUN
ajmsi-1979	1	16	)	)	PUNCT
ajmsi-1979	1	17	risk	risk	NOUN
ajmsi-1979	1	18	prediction	prediction	NOUN
ajmsi-1979	1	19	of	of	ADP
ajmsi-1979	1	20	thalassemia	thalassemia	NOUN
ajmsi-1979	1	21	using	use	VERB
ajmsi-1979	1	22	data	datum	NOUN
ajmsi-1979	1	23	mining	mining	NOUN
ajmsi-1979	1	24	classifiers	classifier	NOUN
ajmsi-1979	1	25	khizra	khizra	PROPN
ajmsi-1979	1	26	ali1	ali1	PROPN
ajmsi-1979	1	27	*	*	PROPN
ajmsi-1979	1	28	,	,	PUNCT
ajmsi-1979	1	29	muhammad	muhammad	PROPN
ajmsi-1979	1	30	saqib1	saqib1	NOUN
ajmsi-1979	1	31	volume	volume	NOUN
ajmsi-1979	1	32	2	2	NUM
ajmsi-1979	1	33	issue	issue	NOUN
ajmsi-1979	1	34	2	2	NUM
ajmsi-1979	1	35	,	,	PUNCT
ajmsi-1979	1	36	year	year	NOUN
ajmsi-1979	1	37	2023	2023	NUM
ajmsi-1979	1	38	issn	issn	X
ajmsi-1979	1	39	:	:	PUNCT
ajmsi-1979	1	40	2836	2836	NUM
ajmsi-1979	1	41	-	-	SYM
ajmsi-1979	1	42	8509	8509	NUM
ajmsi-1979	1	43	(	(	PUNCT
ajmsi-1979	1	44	online	online	ADJ
ajmsi-1979	1	45	)	)	PUNCT
ajmsi-1979	1	46	doi	doi	NOUN
ajmsi-1979	1	47	:	:	PUNCT
ajmsi-1979	1	48	https://doi.org/10.54536/ajmsi.v2i2.1979	https://doi.org/10.54536/ajmsi.v2i2.1979	PROPN
ajmsi-1979	1	49	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	1	50	article	article	NOUN
ajmsi-1979	1	51	information	information	NOUN
ajmsi-1979	1	52	abstract	abstract	ADV
ajmsi-1979	1	53	received	receive	VERB
ajmsi-1979	1	54	:	:	PUNCT
ajmsi-1979	1	55	august	august	PROPN
ajmsi-1979	1	56	17	17	NUM
ajmsi-1979	1	57	,	,	PUNCT
ajmsi-1979	1	58	2023	2023	NUM
ajmsi-1979	1	59	accepted	accept	VERB
ajmsi-1979	1	60	:	:	PUNCT
ajmsi-1979	1	61	september	september	PROPN
ajmsi-1979	1	62	11	11	NUM
ajmsi-1979	1	63	,	,	PUNCT
ajmsi-1979	1	64	2023	2023	NUM
ajmsi-1979	1	65	published	publish	VERB
ajmsi-1979	1	66	:	:	PUNCT
ajmsi-1979	1	67	september	september	PROPN
ajmsi-1979	1	68	22	22	NUM
ajmsi-1979	1	69	,	,	PUNCT
ajmsi-1979	1	70	2023	2023	NUM
ajmsi-1979	1	71	medical	medical	ADJ
ajmsi-1979	1	72	data	datum	NOUN
ajmsi-1979	1	73	mining	mining	NOUN
ajmsi-1979	1	74	is	be	AUX
ajmsi-1979	1	75	concerned	concern	VERB
ajmsi-1979	1	76	with	with	ADP
ajmsi-1979	1	77	prediction	prediction	NOUN
ajmsi-1979	1	78	knowledge	knowledge	NOUN
ajmsi-1979	1	79	,	,	PUNCT
ajmsi-1979	1	80	which	which	PRON
ajmsi-1979	1	81	is	be	AUX
ajmsi-1979	1	82	a	a	DET
ajmsi-1979	1	83	useful	useful	ADJ
ajmsi-1979	1	84	method	method	NOUN
ajmsi-1979	1	85	for	for	ADP
ajmsi-1979	1	86	extracting	extract	VERB
ajmsi-1979	1	87	hidden	hidden	ADJ
ajmsi-1979	1	88	patterns	pattern	NOUN
ajmsi-1979	1	89	from	from	ADP
ajmsi-1979	1	90	given	give	VERB
ajmsi-1979	1	91	data	datum	NOUN
ajmsi-1979	1	92	for	for	ADP
ajmsi-1979	1	93	specific	specific	ADJ
ajmsi-1979	1	94	purposes	purpose	NOUN
ajmsi-1979	1	95	.	.	PUNCT
ajmsi-1979	2	1	thalassemia	thalassemia	NOUN
ajmsi-1979	2	2	is	be	AUX
ajmsi-1979	2	3	one	one	NUM
ajmsi-1979	2	4	of	of	ADP
ajmsi-1979	2	5	the	the	DET
ajmsi-1979	2	6	most	most	ADV
ajmsi-1979	2	7	common	common	ADJ
ajmsi-1979	2	8	inherited	inherit	VERB
ajmsi-1979	2	9	blood	blood	NOUN
ajmsi-1979	2	10	hematological	hematological	ADJ
ajmsi-1979	2	11	disorders	disorder	NOUN
ajmsi-1979	2	12	,	,	PUNCT
ajmsi-1979	2	13	and	and	CCONJ
ajmsi-1979	2	14	this	this	DET
ajmsi-1979	2	15	paper	paper	NOUN
ajmsi-1979	2	16	adopted	adopt	VERB
ajmsi-1979	2	17	data	datum	NOUN
ajmsi-1979	2	18	mining	mining	NOUN
ajmsi-1979	2	19	classification	classification	NOUN
ajmsi-1979	2	20	techniques	technique	NOUN
ajmsi-1979	2	21	to	to	PART
ajmsi-1979	2	22	generate	generate	VERB
ajmsi-1979	2	23	results	result	NOUN
ajmsi-1979	2	24	with	with	ADP
ajmsi-1979	2	25	high	high	ADJ
ajmsi-1979	2	26	performance	performance	NOUN
ajmsi-1979	2	27	and	and	CCONJ
ajmsi-1979	2	28	accuracy	accuracy	NOUN
ajmsi-1979	2	29	for	for	ADP
ajmsi-1979	2	30	risk	risk	NOUN
ajmsi-1979	2	31	prediction	prediction	NOUN
ajmsi-1979	2	32	of	of	ADP
ajmsi-1979	2	33	thalassemia	thalassemia	NOUN
ajmsi-1979	2	34	.	.	PUNCT
ajmsi-1979	3	1	the	the	DET
ajmsi-1979	3	2	dataset	dataset	NOUN
ajmsi-1979	3	3	for	for	ADP
ajmsi-1979	3	4	this	this	DET
ajmsi-1979	3	5	purpose	purpose	NOUN
ajmsi-1979	3	6	was	be	AUX
ajmsi-1979	3	7	collected	collect	VERB
ajmsi-1979	3	8	from	from	ADP
ajmsi-1979	3	9	nibd	nibd	PROPN
ajmsi-1979	3	10	(	(	PUNCT
ajmsi-1979	3	11	national	national	PROPN
ajmsi-1979	3	12	institute	institute	PROPN
ajmsi-1979	3	13	of	of	ADP
ajmsi-1979	3	14	blood	blood	NOUN
ajmsi-1979	3	15	diseases	disease	NOUN
ajmsi-1979	3	16	)	)	PUNCT
ajmsi-1979	3	17	,	,	PUNCT
ajmsi-1979	3	18	a	a	DET
ajmsi-1979	3	19	well	well	ADV
ajmsi-1979	3	20	-	-	PUNCT
ajmsi-1979	3	21	known	know	VERB
ajmsi-1979	3	22	institute	institute	NOUN
ajmsi-1979	3	23	and	and	CCONJ
ajmsi-1979	3	24	hospital	hospital	NOUN
ajmsi-1979	3	25	for	for	ADP
ajmsi-1979	3	26	blood	blood	NOUN
ajmsi-1979	3	27	diseases	disease	NOUN
ajmsi-1979	3	28	in	in	ADP
ajmsi-1979	3	29	karachi	karachi	PROPN
ajmsi-1979	3	30	,	,	PUNCT
ajmsi-1979	3	31	pakistan	pakistan	PROPN
ajmsi-1979	3	32	.	.	PUNCT
ajmsi-1979	4	1	they	they	PRON
ajmsi-1979	4	2	provided	provide	VERB
ajmsi-1979	4	3	301	301	NUM
ajmsi-1979	4	4	records	record	NOUN
ajmsi-1979	4	5	of	of	ADP
ajmsi-1979	4	6	cbc	cbc	PROPN
ajmsi-1979	4	7	test	test	NOUN
ajmsi-1979	4	8	reports	report	NOUN
ajmsi-1979	4	9	containing	contain	VERB
ajmsi-1979	4	10	positive	positive	ADJ
ajmsi-1979	4	11	and	and	CCONJ
ajmsi-1979	4	12	negative	negative	ADJ
ajmsi-1979	4	13	statuses	status	NOUN
ajmsi-1979	4	14	of	of	ADP
ajmsi-1979	4	15	diagnosis	diagnosis	NOUN
ajmsi-1979	4	16	of	of	ADP
ajmsi-1979	4	17	thalassemia	thalassemia	NOUN
ajmsi-1979	4	18	traits	trait	NOUN
ajmsi-1979	4	19	.	.	PUNCT
ajmsi-1979	5	1	there	there	PRON
ajmsi-1979	5	2	were	be	VERB
ajmsi-1979	5	3	many	many	ADJ
ajmsi-1979	5	4	instances	instance	NOUN
ajmsi-1979	5	5	in	in	ADP
ajmsi-1979	5	6	the	the	DET
ajmsi-1979	5	7	report	report	NOUN
ajmsi-1979	5	8	,	,	PUNCT
ajmsi-1979	5	9	of	of	ADP
ajmsi-1979	5	10	which	which	PRON
ajmsi-1979	5	11	6	6	NUM
ajmsi-1979	5	12	were	be	AUX
ajmsi-1979	5	13	used	use	VERB
ajmsi-1979	5	14	for	for	ADP
ajmsi-1979	5	15	our	our	PRON
ajmsi-1979	5	16	research	research	NOUN
ajmsi-1979	5	17	purpose	purpose	NOUN
ajmsi-1979	5	18	,	,	PUNCT
ajmsi-1979	5	19	i.e.	i.e.	X
ajmsi-1979	5	20	gender	gender	NOUN
ajmsi-1979	5	21	,	,	PUNCT
ajmsi-1979	5	22	mcv	mcv	PROPN
ajmsi-1979	5	23	,	,	PUNCT
ajmsi-1979	5	24	hgb	hgb	PROPN
ajmsi-1979	5	25	,	,	PUNCT
ajmsi-1979	5	26	hct	hct	PROPN
ajmsi-1979	5	27	,	,	PUNCT
ajmsi-1979	5	28	mchc	mchc	NOUN
ajmsi-1979	5	29	,	,	PUNCT
ajmsi-1979	5	30	and	and	CCONJ
ajmsi-1979	5	31	rdw	rdw	X
ajmsi-1979	5	32	.	.	PUNCT
ajmsi-1979	6	1	the	the	DET
ajmsi-1979	6	2	dataset	dataset	NOUN
ajmsi-1979	6	3	was	be	AUX
ajmsi-1979	6	4	divided	divide	VERB
ajmsi-1979	6	5	into	into	ADP
ajmsi-1979	6	6	training	training	NOUN
ajmsi-1979	6	7	and	and	CCONJ
ajmsi-1979	6	8	test	test	NOUN
ajmsi-1979	6	9	data	datum	NOUN
ajmsi-1979	6	10	using	use	VERB
ajmsi-1979	6	11	the	the	DET
ajmsi-1979	6	12	weka	weka	PROPN
ajmsi-1979	6	13	tool	tool	PROPN
ajmsi-1979	6	14	.	.	PUNCT
ajmsi-1979	7	1	four	four	NUM
ajmsi-1979	7	2	algorithms	algorithm	NOUN
ajmsi-1979	7	3	of	of	ADP
ajmsi-1979	7	4	data	datum	NOUN
ajmsi-1979	7	5	mining	mining	NOUN
ajmsi-1979	7	6	classification	classification	NOUN
ajmsi-1979	7	7	,	,	PUNCT
ajmsi-1979	7	8	namely	namely	ADV
ajmsi-1979	7	9	j48	j48	ADJ
ajmsi-1979	7	10	decision	decision	NOUN
ajmsi-1979	7	11	tree	tree	NOUN
ajmsi-1979	7	12	,	,	PUNCT
ajmsi-1979	7	13	naïve	naïve	ADJ
ajmsi-1979	7	14	bayesian	bayesian	NOUN
ajmsi-1979	7	15	network	network	NOUN
ajmsi-1979	7	16	,	,	PUNCT
ajmsi-1979	7	17	smo	smo	PROPN
ajmsi-1979	7	18	algorithm	algorithm	NOUN
ajmsi-1979	7	19	,	,	PUNCT
ajmsi-1979	7	20	and	and	CCONJ
ajmsi-1979	7	21	multilayer	multilayer	PROPN
ajmsi-1979	7	22	perceptron	perceptron	PROPN
ajmsi-1979	7	23	neural	neural	PROPN
ajmsi-1979	7	24	network	network	NOUN
ajmsi-1979	7	25	were	be	AUX
ajmsi-1979	7	26	adopted	adopt	VERB
ajmsi-1979	7	27	to	to	PART
ajmsi-1979	7	28	train	train	VERB
ajmsi-1979	7	29	the	the	DET
ajmsi-1979	7	30	model	model	NOUN
ajmsi-1979	7	31	and	and	CCONJ
ajmsi-1979	7	32	classify	classify	VERB
ajmsi-1979	7	33	the	the	DET
ajmsi-1979	7	34	patient	patient	NOUN
ajmsi-1979	7	35	having	have	VERB
ajmsi-1979	7	36	traits	trait	NOUN
ajmsi-1979	7	37	of	of	ADP
ajmsi-1979	7	38	thalassemia	thalassemia	NOUN
ajmsi-1979	7	39	from	from	ADP
ajmsi-1979	7	40	normal	normal	ADJ
ajmsi-1979	7	41	persons	person	NOUN
ajmsi-1979	7	42	with	with	ADP
ajmsi-1979	7	43	the	the	DET
ajmsi-1979	7	44	use	use	NOUN
ajmsi-1979	7	45	of	of	ADP
ajmsi-1979	7	46	the	the	DET
ajmsi-1979	7	47	weka	weka	PROPN
ajmsi-1979	7	48	tool	tool	PROPN
ajmsi-1979	7	49	.	.	PUNCT
ajmsi-1979	8	1	results	result	NOUN
ajmsi-1979	8	2	revealed	reveal	VERB
ajmsi-1979	8	3	that	that	SCONJ
ajmsi-1979	8	4	out	out	ADP
ajmsi-1979	8	5	of	of	ADP
ajmsi-1979	8	6	all	all	DET
ajmsi-1979	8	7	four	four	NUM
ajmsi-1979	8	8	algorithms	algorithm	NOUN
ajmsi-1979	8	9	,	,	PUNCT
ajmsi-1979	8	10	naïve	naïve	ADJ
ajmsi-1979	8	11	bayes	baye	NOUN
ajmsi-1979	8	12	provided	provide	VERB
ajmsi-1979	8	13	results	result	NOUN
ajmsi-1979	8	14	with	with	ADP
ajmsi-1979	8	15	the	the	DET
ajmsi-1979	8	16	highest	high	ADJ
ajmsi-1979	8	17	accuracy	accuracy	NOUN
ajmsi-1979	8	18	of	of	ADP
ajmsi-1979	8	19	99	99	NUM
ajmsi-1979	8	20	%	%	NOUN
ajmsi-1979	8	21	.	.	PUNCT
ajmsi-1979	9	1	keywords	keyword	VERB
ajmsi-1979	9	2	medical	medical	ADJ
ajmsi-1979	9	3	data	datum	NOUN
ajmsi-1979	9	4	mining	mining	NOUN
ajmsi-1979	9	5	,	,	PUNCT
ajmsi-1979	9	6	thalassemia	thalassemia	NOUN
ajmsi-1979	9	7	,	,	PUNCT
ajmsi-1979	9	8	j48	j48	ADJ
ajmsi-1979	9	9	decision	decision	NOUN
ajmsi-1979	9	10	tree	tree	NOUN
ajmsi-1979	9	11	,	,	PUNCT
ajmsi-1979	9	12	naïve	naïve	ADJ
ajmsi-1979	9	13	bayesian	bayesian	NOUN
ajmsi-1979	9	14	network	network	NOUN
ajmsi-1979	9	15	,	,	PUNCT
ajmsi-1979	9	16	multilayer	multilayer	PROPN
ajmsi-1979	9	17	perceptron	perceptron	PROPN
ajmsi-1979	9	18	neural	neural	PROPN
ajmsi-1979	9	19	network	network	PROPN
ajmsi-1979	9	20	1	1	NUM
ajmsi-1979	9	21	department	department	NOUN
ajmsi-1979	9	22	of	of	ADP
ajmsi-1979	9	23	computer	computer	NOUN
ajmsi-1979	9	24	science	science	NOUN
ajmsi-1979	9	25	and	and	CCONJ
ajmsi-1979	9	26	information	information	NOUN
ajmsi-1979	9	27	technology	technology	NOUN
ajmsi-1979	9	28	,	,	PUNCT
ajmsi-1979	9	29	ned	ned	PROPN
ajmsi-1979	9	30	university	university	PROPN
ajmsi-1979	9	31	of	of	ADP
ajmsi-1979	9	32	engineering	engineering	PROPN
ajmsi-1979	9	33	&	&	CCONJ
ajmsi-1979	9	34	technology	technology	PROPN
ajmsi-1979	9	35	,	,	PUNCT
ajmsi-1979	9	36	university	university	NOUN
ajmsi-1979	9	37	road	road	NOUN
ajmsi-1979	9	38	,	,	PUNCT
ajmsi-1979	9	39	karachi	karachi	PROPN
ajmsi-1979	9	40	75270	75270	NUM
ajmsi-1979	9	41	,	,	PUNCT
ajmsi-1979	9	42	pakistan	pakistan	PROPN
ajmsi-1979	9	43	*	*	PUNCT
ajmsi-1979	9	44	corresponding	correspond	VERB
ajmsi-1979	9	45	author	author	NOUN
ajmsi-1979	9	46	’s	’s	PART
ajmsi-1979	9	47	e	e	NOUN
ajmsi-1979	9	48	-	-	NOUN
ajmsi-1979	9	49	mail	mail	NOUN
ajmsi-1979	9	50	:	:	PUNCT
ajmsi-1979	9	51	khizra.ali12@gmail.com	khizra.ali12@gmail.com	X
ajmsi-1979	10	1	introduction	introduction	NOUN
ajmsi-1979	10	2	one	one	NUM
ajmsi-1979	10	3	of	of	ADP
ajmsi-1979	10	4	the	the	DET
ajmsi-1979	10	5	most	most	ADV
ajmsi-1979	10	6	common	common	ADJ
ajmsi-1979	10	7	genetic	genetic	ADJ
ajmsi-1979	10	8	blood	blood	NOUN
ajmsi-1979	10	9	disorders	disorder	NOUN
ajmsi-1979	10	10	,	,	PUNCT
ajmsi-1979	10	11	thalassemia	thalassemia	NOUN
ajmsi-1979	10	12	,	,	PUNCT
ajmsi-1979	10	13	has	have	AUX
ajmsi-1979	10	14	received	receive	VERB
ajmsi-1979	10	15	excessive	excessive	ADJ
ajmsi-1979	10	16	attention	attention	NOUN
ajmsi-1979	10	17	in	in	ADP
ajmsi-1979	10	18	the	the	DET
ajmsi-1979	10	19	research	research	NOUN
ajmsi-1979	10	20	field	field	NOUN
ajmsi-1979	10	21	of	of	ADP
ajmsi-1979	10	22	medicine	medicine	NOUN
ajmsi-1979	10	23	worldwide	worldwide	ADV
ajmsi-1979	10	24	.	.	PUNCT
ajmsi-1979	11	1	due	due	ADP
ajmsi-1979	11	2	to	to	ADP
ajmsi-1979	11	3	the	the	DET
ajmsi-1979	11	4	absence	absence	NOUN
ajmsi-1979	11	5	or	or	CCONJ
ajmsi-1979	11	6	decreased	decrease	VERB
ajmsi-1979	11	7	production	production	NOUN
ajmsi-1979	11	8	of	of	ADP
ajmsi-1979	11	9	normal	normal	ADJ
ajmsi-1979	11	10	globin	globin	NOUN
ajmsi-1979	11	11	chains	chain	NOUN
ajmsi-1979	11	12	,	,	PUNCT
ajmsi-1979	11	13	a	a	DET
ajmsi-1979	11	14	heterogeneous	heterogeneous	ADJ
ajmsi-1979	11	15	group	group	NOUN
ajmsi-1979	11	16	of	of	ADP
ajmsi-1979	11	17	hemoglobin	hemoglobin	NOUN
ajmsi-1979	11	18	disorders	disorder	NOUN
ajmsi-1979	11	19	is	be	AUX
ajmsi-1979	11	20	called	call	VERB
ajmsi-1979	11	21	thalassemia	thalassemia	NOUN
ajmsi-1979	11	22	syndromes	syndrome	NOUN
ajmsi-1979	11	23	.	.	PUNCT
ajmsi-1979	12	1	the	the	DET
ajmsi-1979	12	2	disease	disease	NOUN
ajmsi-1979	12	3	is	be	AUX
ajmsi-1979	12	4	known	know	VERB
ajmsi-1979	12	5	to	to	PART
ajmsi-1979	12	6	be	be	AUX
ajmsi-1979	12	7	the	the	DET
ajmsi-1979	12	8	most	most	ADV
ajmsi-1979	12	9	common	common	ADJ
ajmsi-1979	12	10	recessive	recessive	ADJ
ajmsi-1979	12	11	worldwide	worldwide	ADV
ajmsi-1979	12	12	as	as	SCONJ
ajmsi-1979	12	13	the	the	DET
ajmsi-1979	12	14	population	population	NOUN
ajmsi-1979	12	15	carriers	carrier	NOUN
ajmsi-1979	12	16	of	of	ADP
ajmsi-1979	12	17	genetic	genetic	ADJ
ajmsi-1979	12	18	thalassemia	thalassemia	NOUN
ajmsi-1979	12	19	mutation	mutation	NOUN
ajmsi-1979	12	20	are	be	AUX
ajmsi-1979	12	21	1	1	NUM
ajmsi-1979	12	22	-	-	SYM
ajmsi-1979	12	23	5	5	NUM
ajmsi-1979	12	24	%	%	NOUN
ajmsi-1979	12	25	globally	globally	ADV
ajmsi-1979	12	26	(	(	PUNCT
ajmsi-1979	12	27	jameel	jameel	X
ajmsi-1979	12	28	et	et	PROPN
ajmsi-1979	12	29	al	al	PROPN
ajmsi-1979	12	30	.	.	PROPN
ajmsi-1979	12	31	,	,	PUNCT
ajmsi-1979	12	32	2017	2017	NUM
ajmsi-1979	12	33	;	;	PUNCT
ajmsi-1979	12	34	origa	origa	NOUN
ajmsi-1979	12	35	,	,	PUNCT
ajmsi-1979	12	36	2017	2017	NUM
ajmsi-1979	12	37	)	)	PUNCT
ajmsi-1979	12	38	.	.	PUNCT
ajmsi-1979	13	1	it	it	PRON
ajmsi-1979	13	2	is	be	AUX
ajmsi-1979	13	3	commonly	commonly	ADV
ajmsi-1979	13	4	found	find	VERB
ajmsi-1979	13	5	in	in	ADP
ajmsi-1979	13	6	southeast	southeast	PROPN
ajmsi-1979	13	7	asia	asia	PROPN
ajmsi-1979	13	8	,	,	PUNCT
ajmsi-1979	13	9	the	the	DET
ajmsi-1979	13	10	middle	middle	PROPN
ajmsi-1979	13	11	east	east	PROPN
ajmsi-1979	13	12	,	,	PUNCT
ajmsi-1979	13	13	north	north	NOUN
ajmsi-1979	13	14	and	and	CCONJ
ajmsi-1979	13	15	central	central	PROPN
ajmsi-1979	13	16	africa	africa	PROPN
ajmsi-1979	13	17	,	,	PUNCT
ajmsi-1979	13	18	and	and	CCONJ
ajmsi-1979	13	19	the	the	DET
ajmsi-1979	13	20	mediterranean	mediterranean	PROPN
ajmsi-1979	13	21	(	(	PUNCT
ajmsi-1979	13	22	herbert	herbert	PROPN
ajmsi-1979	13	23	et	et	PROPN
ajmsi-1979	13	24	al	al	PROPN
ajmsi-1979	13	25	.	.	PROPN
ajmsi-1979	13	26	,	,	PUNCT
ajmsi-1979	13	27	2009	2009	NUM
ajmsi-1979	13	28	)	)	PUNCT
ajmsi-1979	13	29	.	.	PUNCT
ajmsi-1979	14	1	in	in	ADP
ajmsi-1979	14	2	pakistan	pakistan	PROPN
ajmsi-1979	14	3	,	,	PUNCT
ajmsi-1979	14	4	thalassemia	thalassemia	NOUN
ajmsi-1979	14	5	carriers	carrier	NOUN
ajmsi-1979	14	6	are	be	AUX
ajmsi-1979	14	7	more	more	ADJ
ajmsi-1979	14	8	than	than	ADP
ajmsi-1979	14	9	10	10	NUM
ajmsi-1979	14	10	million	million	NUM
ajmsi-1979	14	11	,	,	PUNCT
ajmsi-1979	14	12	with	with	ADP
ajmsi-1979	14	13	a	a	DET
ajmsi-1979	14	14	5	5	NUM
ajmsi-1979	14	15	-	-	SYM
ajmsi-1979	14	16	7	7	NUM
ajmsi-1979	14	17	%	%	NOUN
ajmsi-1979	14	18	prevalence	prevalence	NOUN
ajmsi-1979	14	19	rate	rate	NOUN
ajmsi-1979	14	20	,	,	PUNCT
ajmsi-1979	14	21	as	as	SCONJ
ajmsi-1979	14	22	about	about	ADP
ajmsi-1979	14	23	5000	5000	NUM
ajmsi-1979	14	24	children	child	NOUN
ajmsi-1979	14	25	yearly	yearly	ADV
ajmsi-1979	14	26	are	be	AUX
ajmsi-1979	14	27	diagnosed	diagnose	VERB
ajmsi-1979	14	28	as	as	ADP
ajmsi-1979	14	29	thalassemia	thalassemia	NOUN
ajmsi-1979	14	30	major	major	ADJ
ajmsi-1979	14	31	carriers	carrier	NOUN
ajmsi-1979	14	32	(	(	PUNCT
ajmsi-1979	14	33	kamil	kamil	PROPN
ajmsi-1979	14	34	et	et	PROPN
ajmsi-1979	14	35	al	al	PROPN
ajmsi-1979	14	36	.	.	PROPN
ajmsi-1979	14	37	,	,	PUNCT
ajmsi-1979	14	38	2021	2021	NUM
ajmsi-1979	14	39	;	;	PUNCT
ajmsi-1979	14	40	khaliq	khaliq	ADJ
ajmsi-1979	14	41	,	,	PUNCT
ajmsi-1979	14	42	2022	2022	NUM
ajmsi-1979	14	43	)	)	PUNCT
ajmsi-1979	14	44	.	.	PUNCT
ajmsi-1979	15	1	therefore	therefore	ADV
ajmsi-1979	15	2	,	,	PUNCT
ajmsi-1979	15	3	under	under	ADP
ajmsi-1979	15	4	this	this	DET
ajmsi-1979	15	5	context	context	NOUN
ajmsi-1979	15	6	,	,	PUNCT
ajmsi-1979	15	7	the	the	DET
ajmsi-1979	15	8	greatest	great	ADJ
ajmsi-1979	15	9	challenge	challenge	NOUN
ajmsi-1979	15	10	for	for	ADP
ajmsi-1979	15	11	professionals	professional	NOUN
ajmsi-1979	15	12	in	in	ADP
ajmsi-1979	15	13	healthcare	healthcare	NOUN
ajmsi-1979	15	14	is	be	AUX
ajmsi-1979	15	15	to	to	PART
ajmsi-1979	15	16	differentiate	differentiate	VERB
ajmsi-1979	15	17	between	between	ADP
ajmsi-1979	15	18	normal	normal	ADJ
ajmsi-1979	15	19	individuals	individual	NOUN
ajmsi-1979	15	20	and	and	CCONJ
ajmsi-1979	15	21	asymptomatic	asymptomatic	ADJ
ajmsi-1979	15	22	thalassemia	thalassemia	NOUN
ajmsi-1979	15	23	carriers	carrier	NOUN
ajmsi-1979	15	24	(	(	PUNCT
ajmsi-1979	15	25	alaa	alaa	PROPN
ajmsi-1979	15	26	&	&	CCONJ
ajmsi-1979	15	27	shurrab	shurrab	PROPN
ajmsi-1979	15	28	,	,	PUNCT
ajmsi-1979	15	29	2017	2017	NUM
ajmsi-1979	15	30	;	;	PUNCT
ajmsi-1979	15	31	jatoi	jatoi	PROPN
ajmsi-1979	15	32	et	et	PROPN
ajmsi-1979	15	33	al	al	PROPN
ajmsi-1979	15	34	.	.	PROPN
ajmsi-1979	15	35	,	,	PUNCT
ajmsi-1979	15	36	2018	2018	NUM
ajmsi-1979	15	37	)	)	PUNCT
ajmsi-1979	15	38	.	.	PUNCT
ajmsi-1979	16	1	thalassemia	thalassemia	NOUN
ajmsi-1979	16	2	diagnosis	diagnosis	NOUN
ajmsi-1979	16	3	depends	depend	VERB
ajmsi-1979	16	4	on	on	ADP
ajmsi-1979	16	5	certain	certain	ADJ
ajmsi-1979	16	6	characteristics	characteristic	NOUN
ajmsi-1979	16	7	derived	derive	VERB
ajmsi-1979	16	8	after	after	ADP
ajmsi-1979	16	9	performing	perform	VERB
ajmsi-1979	16	10	a	a	DET
ajmsi-1979	16	11	complete	complete	ADJ
ajmsi-1979	16	12	blood	blood	NOUN
ajmsi-1979	16	13	count	count	NOUN
ajmsi-1979	16	14	(	(	PUNCT
ajmsi-1979	16	15	cbc	cbc	NOUN
ajmsi-1979	16	16	)	)	PUNCT
ajmsi-1979	16	17	test	test	NOUN
ajmsi-1979	16	18	.	.	PUNCT
ajmsi-1979	17	1	however	however	ADV
ajmsi-1979	17	2	,	,	PUNCT
ajmsi-1979	17	3	the	the	DET
ajmsi-1979	17	4	reliability	reliability	NOUN
ajmsi-1979	17	5	of	of	ADP
ajmsi-1979	17	6	the	the	DET
ajmsi-1979	17	7	test	test	NOUN
ajmsi-1979	17	8	can	can	AUX
ajmsi-1979	17	9	lead	lead	VERB
ajmsi-1979	17	10	to	to	ADP
ajmsi-1979	17	11	the	the	DET
ajmsi-1979	17	12	misdiagnosis	misdiagnosis	NOUN
ajmsi-1979	17	13	of	of	ADP
ajmsi-1979	17	14	thalassemia	thalassemia	NOUN
ajmsi-1979	17	15	as	as	SCONJ
ajmsi-1979	17	16	similar	similar	ADJ
ajmsi-1979	17	17	characteristics	characteristic	NOUN
ajmsi-1979	17	18	can	can	AUX
ajmsi-1979	17	19	also	also	ADV
ajmsi-1979	17	20	be	be	AUX
ajmsi-1979	17	21	observed	observe	VERB
ajmsi-1979	17	22	in	in	ADP
ajmsi-1979	17	23	different	different	ADJ
ajmsi-1979	17	24	blood	blood	NOUN
ajmsi-1979	17	25	disorders	disorder	NOUN
ajmsi-1979	17	26	(	(	PUNCT
ajmsi-1979	17	27	abdullah	abdullah	PROPN
ajmsi-1979	17	28	&	&	CCONJ
ajmsi-1979	17	29	al	al	PROPN
ajmsi-1979	17	30	-	-	PUNCT
ajmsi-1979	17	31	asmari	asmari	PROPN
ajmsi-1979	17	32	,	,	PUNCT
ajmsi-1979	17	33	2016	2016	NUM
ajmsi-1979	17	34	;	;	PUNCT
ajmsi-1979	17	35	jatoi	jatoi	PROPN
ajmsi-1979	17	36	et	et	PROPN
ajmsi-1979	17	37	al	al	PROPN
ajmsi-1979	17	38	.	.	PROPN
ajmsi-1979	17	39	,	,	PUNCT
ajmsi-1979	17	40	2018	2018	NUM
ajmsi-1979	17	41	;	;	PUNCT
ajmsi-1979	18	1	meena	meena	PROPN
ajmsi-1979	18	2	et	et	PROPN
ajmsi-1979	18	3	al	al	PROPN
ajmsi-1979	18	4	.	.	PROPN
ajmsi-1979	18	5	,	,	PUNCT
ajmsi-1979	18	6	2019	2019	NUM
ajmsi-1979	18	7	)	)	PUNCT
ajmsi-1979	18	8	.	.	PUNCT
ajmsi-1979	19	1	blood	blood	NOUN
ajmsi-1979	19	2	diseases	disease	NOUN
ajmsi-1979	19	3	can	can	AUX
ajmsi-1979	19	4	be	be	AUX
ajmsi-1979	19	5	of	of	ADP
ajmsi-1979	19	6	various	various	ADJ
ajmsi-1979	19	7	types	type	NOUN
ajmsi-1979	19	8	,	,	PUNCT
ajmsi-1979	19	9	such	such	ADJ
ajmsi-1979	19	10	as	as	ADP
ajmsi-1979	19	11	anaemia	anaemia	NOUN
ajmsi-1979	19	12	,	,	PUNCT
ajmsi-1979	19	13	which	which	PRON
ajmsi-1979	19	14	is	be	AUX
ajmsi-1979	19	15	a	a	DET
ajmsi-1979	19	16	common	common	ADJ
ajmsi-1979	19	17	nutritional	nutritional	ADJ
ajmsi-1979	19	18	deficiency	deficiency	NOUN
ajmsi-1979	19	19	and	and	CCONJ
ajmsi-1979	19	20	blood	blood	NOUN
ajmsi-1979	19	21	disorder	disorder	NOUN
ajmsi-1979	19	22	in	in	ADP
ajmsi-1979	19	23	childhood	childhood	NOUN
ajmsi-1979	19	24	and	and	CCONJ
ajmsi-1979	19	25	infancy	infancy	NOUN
ajmsi-1979	19	26	,	,	PUNCT
ajmsi-1979	19	27	and	and	CCONJ
ajmsi-1979	19	28	iron	iron	NOUN
ajmsi-1979	19	29	deficiency	deficiency	NOUN
ajmsi-1979	19	30	anemia	anemia	NOUN
ajmsi-1979	19	31	(	(	PUNCT
ajmsi-1979	19	32	ird	ird	PROPN
ajmsi-1979	19	33	)	)	PUNCT
ajmsi-1979	19	34	is	be	AUX
ajmsi-1979	19	35	mostly	mostly	ADV
ajmsi-1979	19	36	found	find	VERB
ajmsi-1979	19	37	in	in	ADP
ajmsi-1979	19	38	women	woman	NOUN
ajmsi-1979	19	39	and	and	CCONJ
ajmsi-1979	19	40	children	child	NOUN
ajmsi-1979	19	41	,	,	PUNCT
ajmsi-1979	19	42	especially	especially	ADV
ajmsi-1979	19	43	in	in	ADP
ajmsi-1979	19	44	developing	develop	VERB
ajmsi-1979	19	45	countries	country	NOUN
ajmsi-1979	19	46	(	(	PUNCT
ajmsi-1979	19	47	alagha	alagha	VERB
ajmsi-1979	19	48	et	et	PROPN
ajmsi-1979	19	49	al	al	PROPN
ajmsi-1979	19	50	.	.	PROPN
ajmsi-1979	19	51	,	,	PUNCT
ajmsi-1979	19	52	2018	2018	NUM
ajmsi-1979	19	53	;	;	PUNCT
ajmsi-1979	19	54	jatoi	jatoi	PROPN
ajmsi-1979	19	55	et	et	PROPN
ajmsi-1979	19	56	al	al	PROPN
ajmsi-1979	19	57	.	.	PROPN
ajmsi-1979	19	58	,	,	PUNCT
ajmsi-1979	19	59	2018	2018	NUM
ajmsi-1979	19	60	)	)	PUNCT
ajmsi-1979	19	61	.	.	PUNCT
ajmsi-1979	20	1	however	however	ADV
ajmsi-1979	20	2	,	,	PUNCT
ajmsi-1979	20	3	the	the	DET
ajmsi-1979	20	4	most	most	ADV
ajmsi-1979	20	5	crucial	crucial	ADJ
ajmsi-1979	20	6	type	type	NOUN
ajmsi-1979	20	7	of	of	ADP
ajmsi-1979	20	8	anaemia	anaemia	NOUN
ajmsi-1979	20	9	is	be	AUX
ajmsi-1979	20	10	thalassemia	thalassemia	NOUN
ajmsi-1979	20	11	,	,	PUNCT
ajmsi-1979	20	12	an	an	DET
ajmsi-1979	20	13	inherited	inherit	VERB
ajmsi-1979	20	14	disorder	disorder	NOUN
ajmsi-1979	20	15	whose	whose	DET
ajmsi-1979	20	16	identification	identification	NOUN
ajmsi-1979	20	17	or	or	CCONJ
ajmsi-1979	20	18	differentiation	differentiation	NOUN
ajmsi-1979	20	19	from	from	ADP
ajmsi-1979	20	20	normal	normal	ADJ
ajmsi-1979	20	21	patients	patient	NOUN
ajmsi-1979	20	22	is	be	AUX
ajmsi-1979	20	23	challenging	challenge	VERB
ajmsi-1979	20	24	from	from	ADP
ajmsi-1979	20	25	the	the	DET
ajmsi-1979	20	26	cbc	cbc	PROPN
ajmsi-1979	20	27	test	test	NOUN
ajmsi-1979	20	28	(	(	PUNCT
ajmsi-1979	20	29	abdullah	abdullah	PROPN
ajmsi-1979	20	30	&	&	CCONJ
ajmsi-1979	20	31	al	al	PROPN
ajmsi-1979	20	32	-	-	PUNCT
ajmsi-1979	20	33	asmari	asmari	PROPN
ajmsi-1979	20	34	,	,	PUNCT
ajmsi-1979	20	35	2016	2016	NUM
ajmsi-1979	20	36	)	)	PUNCT
ajmsi-1979	20	37	.	.	PUNCT
ajmsi-1979	21	1	therefore	therefore	ADV
ajmsi-1979	21	2	,	,	PUNCT
ajmsi-1979	21	3	the	the	DET
ajmsi-1979	21	4	problem	problem	NOUN
ajmsi-1979	21	5	identified	identify	VERB
ajmsi-1979	21	6	in	in	ADP
ajmsi-1979	21	7	the	the	DET
ajmsi-1979	21	8	healthcare	healthcare	NOUN
ajmsi-1979	21	9	sector	sector	NOUN
ajmsi-1979	21	10	is	be	AUX
ajmsi-1979	21	11	to	to	PART
ajmsi-1979	21	12	design	design	VERB
ajmsi-1979	21	13	a	a	DET
ajmsi-1979	21	14	model	model	NOUN
ajmsi-1979	21	15	that	that	PRON
ajmsi-1979	21	16	can	can	AUX
ajmsi-1979	21	17	predict	predict	VERB
ajmsi-1979	21	18	the	the	DET
ajmsi-1979	21	19	risk	risk	NOUN
ajmsi-1979	21	20	of	of	ADP
ajmsi-1979	21	21	thalassemia	thalassemia	NOUN
ajmsi-1979	21	22	in	in	ADP
ajmsi-1979	21	23	patients	patient	NOUN
ajmsi-1979	21	24	before	before	ADP
ajmsi-1979	21	25	their	their	PRON
ajmsi-1979	21	26	cbc	cbc	NOUN
ajmsi-1979	21	27	test	test	NOUN
ajmsi-1979	21	28	.	.	PUNCT
ajmsi-1979	22	1	this	this	DET
ajmsi-1979	22	2	research	research	NOUN
ajmsi-1979	22	3	explored	explore	VERB
ajmsi-1979	22	4	data	datum	NOUN
ajmsi-1979	22	5	mining	mining	NOUN
ajmsi-1979	22	6	techniques	technique	NOUN
ajmsi-1979	22	7	using	use	VERB
ajmsi-1979	22	8	the	the	DET
ajmsi-1979	22	9	cbc	cbc	NOUN
ajmsi-1979	22	10	dataset	dataset	NOUN
ajmsi-1979	22	11	,	,	PUNCT
ajmsi-1979	22	12	examining	examine	VERB
ajmsi-1979	22	13	the	the	DET
ajmsi-1979	22	14	similarities	similarity	NOUN
ajmsi-1979	22	15	of	of	ADP
ajmsi-1979	22	16	the	the	DET
ajmsi-1979	22	17	different	different	ADJ
ajmsi-1979	22	18	attributes	attribute	NOUN
ajmsi-1979	22	19	categorizing	categorize	VERB
ajmsi-1979	22	20	normal	normal	ADJ
ajmsi-1979	22	21	traits	trait	NOUN
ajmsi-1979	22	22	or	or	CCONJ
ajmsi-1979	22	23	thalassemia	thalassemia	NOUN
ajmsi-1979	22	24	traits	trait	NOUN
ajmsi-1979	22	25	for	for	ADP
ajmsi-1979	22	26	accurate	accurate	ADJ
ajmsi-1979	22	27	detection	detection	NOUN
ajmsi-1979	22	28	and	and	CCONJ
ajmsi-1979	22	29	recognition	recognition	NOUN
ajmsi-1979	22	30	of	of	ADP
ajmsi-1979	22	31	optimal	optimal	ADJ
ajmsi-1979	22	32	disease	disease	NOUN
ajmsi-1979	22	33	patterns	pattern	NOUN
ajmsi-1979	22	34	.	.	PUNCT
ajmsi-1979	23	1	multiple	multiple	ADJ
ajmsi-1979	23	2	studies	study	NOUN
ajmsi-1979	23	3	have	have	AUX
ajmsi-1979	23	4	been	be	AUX
ajmsi-1979	23	5	done	do	VERB
ajmsi-1979	23	6	worldwide	worldwide	ADV
ajmsi-1979	23	7	regarding	regard	VERB
ajmsi-1979	23	8	detecting	detect	VERB
ajmsi-1979	23	9	different	different	ADJ
ajmsi-1979	23	10	kinds	kind	NOUN
ajmsi-1979	23	11	of	of	ADP
ajmsi-1979	23	12	blood	blood	NOUN
ajmsi-1979	23	13	disorders	disorder	NOUN
ajmsi-1979	23	14	using	use	VERB
ajmsi-1979	23	15	data	datum	NOUN
ajmsi-1979	23	16	mining	mining	NOUN
ajmsi-1979	23	17	.	.	PUNCT
ajmsi-1979	24	1	however	however	ADV
ajmsi-1979	24	2	,	,	PUNCT
ajmsi-1979	24	3	researchers	researcher	NOUN
ajmsi-1979	24	4	have	have	AUX
ajmsi-1979	24	5	used	use	VERB
ajmsi-1979	24	6	a	a	DET
ajmsi-1979	24	7	different	different	ADJ
ajmsi-1979	24	8	set	set	NOUN
ajmsi-1979	24	9	of	of	ADP
ajmsi-1979	24	10	instances	instance	NOUN
ajmsi-1979	24	11	of	of	ADP
ajmsi-1979	24	12	the	the	DET
ajmsi-1979	24	13	cbc	cbc	PROPN
ajmsi-1979	24	14	test	test	NOUN
ajmsi-1979	24	15	,	,	PUNCT
ajmsi-1979	24	16	and	and	CCONJ
ajmsi-1979	24	17	therefore	therefore	ADV
ajmsi-1979	24	18	,	,	PUNCT
ajmsi-1979	24	19	the	the	DET
ajmsi-1979	24	20	data	data	NOUN
ajmsi-1979	24	21	mining	mining	NOUN
ajmsi-1979	24	22	classifiers	classifier	NOUN
ajmsi-1979	24	23	’	'	PUNCT
ajmsi-1979	24	24	accuracy	accuracy	NOUN
ajmsi-1979	24	25	has	have	AUX
ajmsi-1979	24	26	varied	vary	VERB
ajmsi-1979	24	27	(	(	PUNCT
ajmsi-1979	24	28	alagha	alagha	VERB
ajmsi-1979	24	29	et	et	PROPN
ajmsi-1979	24	30	al	al	PROPN
ajmsi-1979	24	31	.	.	PROPN
ajmsi-1979	24	32	,	,	PUNCT
ajmsi-1979	24	33	2018	2018	NUM
ajmsi-1979	24	34	;	;	PUNCT
ajmsi-1979	24	35	elshami	elshami	PROPN
ajmsi-1979	24	36	&	&	CCONJ
ajmsi-1979	24	37	alhalees	alhalees	PROPN
ajmsi-1979	24	38	,	,	PUNCT
ajmsi-1979	24	39	2012	2012	NUM
ajmsi-1979	24	40	)	)	PUNCT
ajmsi-1979	24	41	.	.	PUNCT
ajmsi-1979	25	1	this	this	PRON
ajmsi-1979	25	2	also	also	ADV
ajmsi-1979	25	3	depends	depend	VERB
ajmsi-1979	25	4	upon	upon	SCONJ
ajmsi-1979	25	5	the	the	DET
ajmsi-1979	25	6	choice	choice	NOUN
ajmsi-1979	25	7	of	of	ADP
ajmsi-1979	25	8	data	data	NOUN
ajmsi-1979	25	9	mining	mining	NOUN
ajmsi-1979	25	10	classifiers	classifier	NOUN
ajmsi-1979	25	11	;	;	PUNCT
ajmsi-1979	25	12	amin	amin	NOUN
ajmsi-1979	25	13	and	and	CCONJ
ajmsi-1979	25	14	habib	habib	PROPN
ajmsi-1979	25	15	(	(	PUNCT
ajmsi-1979	25	16	2015	2015	NUM
ajmsi-1979	25	17	)	)	PUNCT
ajmsi-1979	25	18	conducted	conduct	VERB
ajmsi-1979	25	19	a	a	DET
ajmsi-1979	25	20	research	research	NOUN
ajmsi-1979	25	21	to	to	PART
ajmsi-1979	25	22	diagnose	diagnose	VERB
ajmsi-1979	25	23	blood	blood	NOUN
ajmsi-1979	25	24	diseases	disease	NOUN
ajmsi-1979	25	25	using	use	VERB
ajmsi-1979	25	26	age	age	NOUN
ajmsi-1979	25	27	and	and	CCONJ
ajmsi-1979	25	28	gender	gender	NOUN
ajmsi-1979	25	29	as	as	ADP
ajmsi-1979	25	30	dataset	dataset	VERB
ajmsi-1979	25	31	labels	label	NOUN
ajmsi-1979	25	32	with	with	ADP
ajmsi-1979	25	33	mlp	mlp	PROPN
ajmsi-1979	25	34	,	,	PUNCT
ajmsi-1979	25	35	j48	j48	PROPN
ajmsi-1979	25	36	,	,	PUNCT
ajmsi-1979	25	37	and	and	CCONJ
ajmsi-1979	25	38	naïve	naïve	ADJ
ajmsi-1979	25	39	bayes	bayes	NOUN
ajmsi-1979	25	40	algorithms	algorithm	NOUN
ajmsi-1979	25	41	(	(	PUNCT
ajmsi-1979	25	42	amin	amin	PROPN
ajmsi-1979	25	43	&	&	CCONJ
ajmsi-1979	25	44	habib	habib	PROPN
ajmsi-1979	25	45	,	,	PUNCT
ajmsi-1979	25	46	2015	2015	NUM
ajmsi-1979	25	47	)	)	PUNCT
ajmsi-1979	25	48	.	.	PUNCT
ajmsi-1979	26	1	similarly	similarly	ADV
ajmsi-1979	26	2	,	,	PUNCT
ajmsi-1979	26	3	saichanma	saichanma	PROPN
ajmsi-1979	26	4	et	et	PROPN
ajmsi-1979	26	5	al	al	PROPN
ajmsi-1979	26	6	.	.	PROPN
ajmsi-1979	27	1	(	(	PUNCT
ajmsi-1979	27	2	2014	2014	NUM
ajmsi-1979	27	3	)	)	PUNCT
ajmsi-1979	27	4	used	use	VERB
ajmsi-1979	27	5	the	the	DET
ajmsi-1979	27	6	j48	j48	ADJ
ajmsi-1979	27	7	decision	decision	NOUN
ajmsi-1979	27	8	tree	tree	NOUN
ajmsi-1979	27	9	algorithm	algorithm	NOUN
ajmsi-1979	27	10	to	to	PART
ajmsi-1979	27	11	predict	predict	VERB
ajmsi-1979	27	12	the	the	DET
ajmsi-1979	27	13	abnormality	abnormality	NOUN
ajmsi-1979	27	14	of	of	ADP
ajmsi-1979	27	15	peripheral	peripheral	ADJ
ajmsi-1979	27	16	blood	blood	NOUN
ajmsi-1979	27	17	smear	smear	NOUN
ajmsi-1979	27	18	,	,	PUNCT
ajmsi-1979	27	19	focusing	focus	VERB
ajmsi-1979	27	20	mainly	mainly	ADV
ajmsi-1979	27	21	on	on	ADP
ajmsi-1979	27	22	the	the	DET
ajmsi-1979	27	23	attribute	attribute	NOUN
ajmsi-1979	27	24	of	of	ADP
ajmsi-1979	27	25	rbc	rbc	PROPN
ajmsi-1979	27	26	of	of	ADP
ajmsi-1979	27	27	the	the	DET
ajmsi-1979	27	28	cbc	cbc	PROPN
ajmsi-1979	27	29	test	test	NOUN
ajmsi-1979	27	30	(	(	PUNCT
ajmsi-1979	27	31	saichanma	saichanma	VERB
ajmsi-1979	27	32	et	et	PROPN
ajmsi-1979	27	33	al	al	PROPN
ajmsi-1979	27	34	.	.	PROPN
ajmsi-1979	27	35	,	,	PUNCT
ajmsi-1979	27	36	2014	2014	NUM
ajmsi-1979	27	37	)	)	PUNCT
ajmsi-1979	27	38	.	.	PUNCT
ajmsi-1979	28	1	the	the	DET
ajmsi-1979	28	2	previous	previous	ADJ
ajmsi-1979	28	3	studies	study	NOUN
ajmsi-1979	28	4	(	(	PUNCT
ajmsi-1979	28	5	abdullah	abdullah	PROPN
ajmsi-1979	28	6	&	&	CCONJ
ajmsi-1979	28	7	al	al	PROPN
ajmsi-1979	28	8	-	-	PUNCT
ajmsi-1979	28	9	asmari	asmari	PROPN
ajmsi-1979	28	10	,	,	PUNCT
ajmsi-1979	28	11	2016	2016	NUM
ajmsi-1979	28	12	;	;	PUNCT
ajmsi-1979	28	13	alaa	alaa	PROPN
ajmsi-1979	28	14	&	&	CCONJ
ajmsi-1979	28	15	shurrab	shurrab	PROPN
ajmsi-1979	28	16	,	,	PUNCT
ajmsi-1979	28	17	2017	2017	NUM
ajmsi-1979	28	18	;	;	PUNCT
ajmsi-1979	28	19	alagha	alagha	VERB
ajmsi-1979	28	20	et	et	PROPN
ajmsi-1979	28	21	al	al	PROPN
ajmsi-1979	28	22	.	.	PROPN
ajmsi-1979	28	23	,	,	PUNCT
ajmsi-1979	28	24	2018	2018	NUM
ajmsi-1979	28	25	;	;	PUNCT
ajmsi-1979	28	26	jatoi	jatoi	PROPN
ajmsi-1979	28	27	et	et	PROPN
ajmsi-1979	28	28	al	al	PROPN
ajmsi-1979	28	29	.	.	PROPN
ajmsi-1979	28	30	,	,	PUNCT
ajmsi-1979	28	31	2018	2018	NUM
ajmsi-1979	28	32	;	;	PUNCT
ajmsi-1979	28	33	meena	meena	PROPN
ajmsi-1979	28	34	et	et	PROPN
ajmsi-1979	28	35	al	al	PROPN
ajmsi-1979	28	36	.	.	PROPN
ajmsi-1979	28	37	,	,	PUNCT
ajmsi-1979	28	38	2019	2019	NUM
ajmsi-1979	28	39	)	)	PUNCT
ajmsi-1979	28	40	have	have	AUX
ajmsi-1979	28	41	classified	classify	VERB
ajmsi-1979	28	42	the	the	DET
ajmsi-1979	28	43	types	type	NOUN
ajmsi-1979	28	44	of	of	ADP
ajmsi-1979	28	45	anaemia	anaemia	NOUN
ajmsi-1979	28	46	or	or	CCONJ
ajmsi-1979	28	47	thalassemia	thalassemia	NOUN
ajmsi-1979	28	48	utilizing	utilize	VERB
ajmsi-1979	28	49	the	the	DET
ajmsi-1979	28	50	techniques	technique	NOUN
ajmsi-1979	28	51	of	of	ADP
ajmsi-1979	28	52	data	datum	NOUN
ajmsi-1979	28	53	mining	mining	NOUN
ajmsi-1979	28	54	.	.	PUNCT
ajmsi-1979	29	1	however	however	ADV
ajmsi-1979	29	2	,	,	PUNCT
ajmsi-1979	29	3	the	the	DET
ajmsi-1979	29	4	present	present	ADJ
ajmsi-1979	29	5	study	study	NOUN
ajmsi-1979	29	6	focused	focus	VERB
ajmsi-1979	29	7	on	on	ADP
ajmsi-1979	29	8	determining	determine	VERB
ajmsi-1979	29	9	thalassemia	thalassemia	NOUN
ajmsi-1979	29	10	traits	trait	NOUN
ajmsi-1979	29	11	’	'	PUNCT
ajmsi-1979	29	12	existence	existence	NOUN
ajmsi-1979	29	13	based	base	VERB
ajmsi-1979	29	14	on	on	ADP
ajmsi-1979	29	15	the	the	DET
ajmsi-1979	29	16	cbc	cbc	PROPN
ajmsi-1979	29	17	test	test	NOUN
ajmsi-1979	29	18	attributes	attribute	NOUN
ajmsi-1979	29	19	(	(	PUNCT
ajmsi-1979	29	20	mcv	mcv	PROPN
ajmsi-1979	29	21	,	,	PUNCT
ajmsi-1979	29	22	hgb	hgb	PROPN
ajmsi-1979	29	23	,	,	PUNCT
ajmsi-1979	29	24	rdw	rdw	ADJ
ajmsi-1979	29	25	,	,	PUNCT
ajmsi-1979	29	26	mchc	mchc	NOUN
ajmsi-1979	29	27	,	,	PUNCT
ajmsi-1979	29	28	and	and	CCONJ
ajmsi-1979	29	29	hct	hct	PROPN
ajmsi-1979	29	30	)	)	PUNCT
ajmsi-1979	29	31	for	for	ADP
ajmsi-1979	29	32	predicting	predict	VERB
ajmsi-1979	29	33	the	the	DET
ajmsi-1979	29	34	risk	risk	NOUN
ajmsi-1979	29	35	of	of	ADP
ajmsi-1979	29	36	thalassemia	thalassemia	NOUN
ajmsi-1979	29	37	.	.	PUNCT
ajmsi-1979	30	1	the	the	DET
ajmsi-1979	30	2	attributes	attribute	NOUN
ajmsi-1979	30	3	used	use	VERB
ajmsi-1979	30	4	in	in	ADP
ajmsi-1979	30	5	this	this	DET
ajmsi-1979	30	6	study	study	NOUN
ajmsi-1979	30	7	were	be	AUX
ajmsi-1979	30	8	gender	gender	NOUN
ajmsi-1979	30	9	,	,	PUNCT
ajmsi-1979	30	10	mcv	mcv	PROPN
ajmsi-1979	30	11	,	,	PUNCT
ajmsi-1979	30	12	hgb	hgb	PROPN
ajmsi-1979	30	13	,	,	PUNCT
ajmsi-1979	30	14	hct	hct	PROPN
ajmsi-1979	30	15	,	,	PUNCT
ajmsi-1979	30	16	mchc	mchc	NOUN
ajmsi-1979	30	17	,	,	PUNCT
ajmsi-1979	30	18	and	and	CCONJ
ajmsi-1979	30	19	rdw	rdw	X
ajmsi-1979	30	20	.	.	PUNCT
ajmsi-1979	31	1	the	the	DET
ajmsi-1979	31	2	current	current	ADJ
ajmsi-1979	31	3	research	research	NOUN
ajmsi-1979	31	4	was	be	AUX
ajmsi-1979	31	5	aimed	aim	VERB
ajmsi-1979	31	6	at	at	ADP
ajmsi-1979	31	7	risk	risk	NOUN
ajmsi-1979	31	8	prediction	prediction	NOUN
ajmsi-1979	31	9	of	of	ADP
ajmsi-1979	31	10	thalassemia	thalassemia	NOUN
ajmsi-1979	31	11	using	use	VERB
ajmsi-1979	31	12	data	datum	NOUN
ajmsi-1979	31	13	mining	mining	NOUN
ajmsi-1979	31	14	classification	classification	NOUN
ajmsi-1979	31	15	algorithms	algorithm	NOUN
ajmsi-1979	31	16	.	.	PUNCT
ajmsi-1979	32	1	the	the	DET
ajmsi-1979	32	2	selected	select	VERB
ajmsi-1979	32	3	classification	classification	NOUN
ajmsi-1979	32	4	algorithms	algorithm	NOUN
ajmsi-1979	32	5	for	for	ADP
ajmsi-1979	32	6	this	this	DET
ajmsi-1979	32	7	study	study	NOUN
ajmsi-1979	32	8	were	be	AUX
ajmsi-1979	32	9	pa	pa	PROPN
ajmsi-1979	32	10	ge	ge	PROPN
ajmsi-1979	32	11	98	98	NUM
ajmsi-1979	32	12	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	32	13	am	be	AUX
ajmsi-1979	32	14	.	.	PUNCT
ajmsi-1979	33	1	j.	j.	PROPN
ajmsi-1979	33	2	med	med	PROPN
ajmsi-1979	33	3	.	.	PUNCT
ajmsi-1979	34	1	sci	sci	PROPN
ajmsi-1979	34	2	.	.	PUNCT
ajmsi-1979	34	3	innov	innov	PROPN
ajmsi-1979	34	4	.	.	PUNCT
ajmsi-1979	35	1	2(2	2(2	NUM
ajmsi-1979	35	2	)	)	PUNCT
ajmsi-1979	35	3	97	97	NUM
ajmsi-1979	35	4	-	-	SYM
ajmsi-1979	35	5	109	109	NUM
ajmsi-1979	35	6	,	,	PUNCT
ajmsi-1979	35	7	2023	2023	NUM
ajmsi-1979	35	8	naïve	naïve	ADJ
ajmsi-1979	35	9	bayes	bayes	NOUN
ajmsi-1979	35	10	,	,	PUNCT
ajmsi-1979	35	11	multilayer	multilayer	PROPN
ajmsi-1979	35	12	perceptron	perceptron	PROPN
ajmsi-1979	35	13	,	,	PUNCT
ajmsi-1979	35	14	j48	j48	PROPN
ajmsi-1979	35	15	,	,	PUNCT
ajmsi-1979	35	16	and	and	CCONJ
ajmsi-1979	35	17	smo	smo	PROPN
ajmsi-1979	35	18	using	use	VERB
ajmsi-1979	35	19	the	the	DET
ajmsi-1979	35	20	weka	weka	PROPN
ajmsi-1979	35	21	data	data	PROPN
ajmsi-1979	35	22	-	-	PUNCT
ajmsi-1979	35	23	mining	mining	NOUN
ajmsi-1979	35	24	tool	tool	NOUN
ajmsi-1979	35	25	.	.	PUNCT
ajmsi-1979	36	1	the	the	DET
ajmsi-1979	36	2	research	research	NOUN
ajmsi-1979	36	3	also	also	ADV
ajmsi-1979	36	4	focused	focus	VERB
ajmsi-1979	36	5	on	on	ADP
ajmsi-1979	36	6	identifying	identify	VERB
ajmsi-1979	36	7	the	the	DET
ajmsi-1979	36	8	most	most	ADV
ajmsi-1979	36	9	potential	potential	ADJ
ajmsi-1979	36	10	classification	classification	NOUN
ajmsi-1979	36	11	algorithm	algorithm	NOUN
ajmsi-1979	36	12	for	for	ADP
ajmsi-1979	36	13	thalassemia	thalassemia	NOUN
ajmsi-1979	36	14	by	by	ADP
ajmsi-1979	36	15	determining	determine	VERB
ajmsi-1979	36	16	accuracy	accuracy	NOUN
ajmsi-1979	36	17	,	,	PUNCT
ajmsi-1979	36	18	precision	precision	NOUN
ajmsi-1979	36	19	,	,	PUNCT
ajmsi-1979	36	20	recall	recall	NOUN
ajmsi-1979	36	21	,	,	PUNCT
ajmsi-1979	36	22	true	true	ADJ
ajmsi-1979	36	23	positive	positive	ADJ
ajmsi-1979	36	24	rate	rate	NOUN
ajmsi-1979	36	25	,	,	PUNCT
ajmsi-1979	36	26	false	false	ADJ
ajmsi-1979	36	27	positive	positive	ADJ
ajmsi-1979	36	28	rate	rate	NOUN
ajmsi-1979	36	29	,	,	PUNCT
ajmsi-1979	36	30	and	and	CCONJ
ajmsi-1979	36	31	f	f	X
ajmsi-1979	36	32	-	-	PUNCT
ajmsi-1979	36	33	measure	measure	NOUN
ajmsi-1979	36	34	using	use	VERB
ajmsi-1979	36	35	weka	weka	PROPN
ajmsi-1979	36	36	experimenter	experimenter	PROPN
ajmsi-1979	36	37	.	.	PUNCT
ajmsi-1979	37	1	literature	literature	PROPN
ajmsi-1979	37	2	review	review	PROPN
ajmsi-1979	37	3	data	datum	NOUN
ajmsi-1979	37	4	mining	mining	NOUN
ajmsi-1979	37	5	in	in	ADP
ajmsi-1979	37	6	healthcare	healthcare	PROPN
ajmsi-1979	37	7	three	three	NUM
ajmsi-1979	37	8	basic	basic	ADJ
ajmsi-1979	37	9	data	datum	NOUN
ajmsi-1979	37	10	mining	mining	NOUN
ajmsi-1979	37	11	mechanisms	mechanism	NOUN
ajmsi-1979	37	12	include	include	VERB
ajmsi-1979	37	13	decision	decision	NOUN
ajmsi-1979	37	14	rules	rule	NOUN
ajmsi-1979	37	15	,	,	PUNCT
ajmsi-1979	37	16	analysis	analysis	NOUN
ajmsi-1979	37	17	,	,	PUNCT
ajmsi-1979	37	18	and	and	CCONJ
ajmsi-1979	37	19	clustering	cluster	VERB
ajmsi-1979	37	20	(	(	PUNCT
ajmsi-1979	37	21	classification	classification	NOUN
ajmsi-1979	37	22	)	)	PUNCT
ajmsi-1979	37	23	.	.	PUNCT
ajmsi-1979	38	1	there	there	PRON
ajmsi-1979	38	2	are	be	VERB
ajmsi-1979	38	3	various	various	ADJ
ajmsi-1979	38	4	applications	application	NOUN
ajmsi-1979	38	5	of	of	ADP
ajmsi-1979	38	6	data	datum	NOUN
ajmsi-1979	38	7	mining	mining	NOUN
ajmsi-1979	38	8	in	in	ADP
ajmsi-1979	38	9	healthcare	healthcare	NOUN
ajmsi-1979	38	10	that	that	PRON
ajmsi-1979	38	11	are	be	AUX
ajmsi-1979	38	12	effective	effective	ADJ
ajmsi-1979	38	13	for	for	SCONJ
ajmsi-1979	38	14	physicians	physician	NOUN
ajmsi-1979	38	15	to	to	PART
ajmsi-1979	38	16	detect	detect	VERB
ajmsi-1979	38	17	diseases	disease	NOUN
ajmsi-1979	38	18	by	by	ADP
ajmsi-1979	38	19	the	the	DET
ajmsi-1979	38	20	extraction	extraction	NOUN
ajmsi-1979	38	21	of	of	ADP
ajmsi-1979	38	22	knowledge	knowledge	NOUN
ajmsi-1979	38	23	from	from	ADP
ajmsi-1979	38	24	data	datum	NOUN
ajmsi-1979	38	25	of	of	ADP
ajmsi-1979	38	26	patients	patient	NOUN
ajmsi-1979	38	27	.	.	PUNCT
ajmsi-1979	39	1	it	it	PRON
ajmsi-1979	39	2	is	be	AUX
ajmsi-1979	39	3	a	a	DET
ajmsi-1979	39	4	prominent	prominent	ADJ
ajmsi-1979	39	5	field	field	NOUN
ajmsi-1979	39	6	of	of	ADP
ajmsi-1979	39	7	research	research	NOUN
ajmsi-1979	39	8	and	and	CCONJ
ajmsi-1979	39	9	has	have	VERB
ajmsi-1979	39	10	extensive	extensive	ADJ
ajmsi-1979	39	11	potential	potential	NOUN
ajmsi-1979	39	12	to	to	PART
ajmsi-1979	39	13	revolutionise	revolutionise	VERB
ajmsi-1979	39	14	the	the	DET
ajmsi-1979	39	15	medical	medical	ADJ
ajmsi-1979	39	16	environment	environment	NOUN
ajmsi-1979	39	17	and	and	CCONJ
ajmsi-1979	39	18	improve	improve	VERB
ajmsi-1979	39	19	the	the	DET
ajmsi-1979	39	20	quality	quality	NOUN
ajmsi-1979	39	21	of	of	ADP
ajmsi-1979	39	22	clinical	clinical	ADJ
ajmsi-1979	39	23	decisions	decision	NOUN
ajmsi-1979	39	24	(	(	PUNCT
ajmsi-1979	39	25	asere	asere	NOUN
ajmsi-1979	39	26	&	&	CCONJ
ajmsi-1979	39	27	botson	botson	PROPN
ajmsi-1979	39	28	,	,	PUNCT
ajmsi-1979	39	29	2021	2021	NUM
ajmsi-1979	39	30	;	;	PUNCT
ajmsi-1979	39	31	saichanma	saichanma	PROPN
ajmsi-1979	39	32	et	et	PROPN
ajmsi-1979	39	33	al	al	PROPN
ajmsi-1979	39	34	.	.	PROPN
ajmsi-1979	39	35	,	,	PUNCT
ajmsi-1979	39	36	2014	2014	NUM
ajmsi-1979	39	37	)	)	PUNCT
ajmsi-1979	39	38	.	.	PUNCT
ajmsi-1979	40	1	tomar	tomar	PROPN
ajmsi-1979	40	2	and	and	CCONJ
ajmsi-1979	40	3	agarwal	agarwal	PROPN
ajmsi-1979	40	4	(	(	PUNCT
ajmsi-1979	40	5	2013	2013	NUM
ajmsi-1979	40	6	)	)	PUNCT
ajmsi-1979	40	7	presented	present	VERB
ajmsi-1979	40	8	the	the	DET
ajmsi-1979	40	9	importance	importance	NOUN
ajmsi-1979	40	10	of	of	ADP
ajmsi-1979	40	11	data	datum	NOUN
ajmsi-1979	40	12	mining	mining	NOUN
ajmsi-1979	40	13	as	as	ADP
ajmsi-1979	40	14	the	the	DET
ajmsi-1979	40	15	most	most	ADV
ajmsi-1979	40	16	interesting	interesting	ADJ
ajmsi-1979	40	17	and	and	CCONJ
ajmsi-1979	40	18	motivating	motivating	NOUN
ajmsi-1979	40	19	area	area	NOUN
ajmsi-1979	40	20	of	of	ADP
ajmsi-1979	40	21	research	research	NOUN
ajmsi-1979	40	22	popular	popular	ADJ
ajmsi-1979	40	23	in	in	ADP
ajmsi-1979	40	24	health	health	NOUN
ajmsi-1979	40	25	organisations	organisation	NOUN
ajmsi-1979	40	26	.	.	PUNCT
ajmsi-1979	41	1	the	the	DET
ajmsi-1979	41	2	role	role	NOUN
ajmsi-1979	41	3	played	play	VERB
ajmsi-1979	41	4	by	by	ADP
ajmsi-1979	41	5	data	datum	NOUN
ajmsi-1979	41	6	mining	mining	NOUN
ajmsi-1979	41	7	is	be	AUX
ajmsi-1979	41	8	essential	essential	ADJ
ajmsi-1979	41	9	in	in	ADP
ajmsi-1979	41	10	uncovering	uncover	VERB
ajmsi-1979	41	11	the	the	DET
ajmsi-1979	41	12	new	new	ADJ
ajmsi-1979	41	13	trends	trend	NOUN
ajmsi-1979	41	14	in	in	ADP
ajmsi-1979	41	15	the	the	DET
ajmsi-1979	41	16	healthcare	healthcare	NOUN
ajmsi-1979	41	17	domain	domain	NOUN
ajmsi-1979	41	18	and	and	CCONJ
ajmsi-1979	41	19	helpful	helpful	ADJ
ajmsi-1979	41	20	for	for	ADP
ajmsi-1979	41	21	the	the	DET
ajmsi-1979	41	22	associated	associated	ADJ
ajmsi-1979	41	23	field	field	NOUN
ajmsi-1979	41	24	members	member	NOUN
ajmsi-1979	41	25	.	.	PUNCT
ajmsi-1979	42	1	results	result	NOUN
ajmsi-1979	42	2	revealed	reveal	VERB
ajmsi-1979	42	3	that	that	SCONJ
ajmsi-1979	42	4	the	the	DET
ajmsi-1979	42	5	best	good	ADJ
ajmsi-1979	42	6	accuracy	accuracy	NOUN
ajmsi-1979	42	7	and	and	CCONJ
ajmsi-1979	42	8	performance	performance	NOUN
ajmsi-1979	42	9	of	of	ADP
ajmsi-1979	42	10	the	the	DET
ajmsi-1979	42	11	classification	classification	NOUN
ajmsi-1979	42	12	model	model	NOUN
ajmsi-1979	42	13	are	be	AUX
ajmsi-1979	42	14	presented	present	VERB
ajmsi-1979	42	15	by	by	ADP
ajmsi-1979	42	16	feature	feature	NOUN
ajmsi-1979	42	17	selection	selection	NOUN
ajmsi-1979	42	18	(	(	PUNCT
ajmsi-1979	42	19	tomar	tomar	PROPN
ajmsi-1979	42	20	&	&	CCONJ
ajmsi-1979	42	21	agarwal	agarwal	PROPN
ajmsi-1979	42	22	,	,	PUNCT
ajmsi-1979	42	23	2013	2013	NUM
ajmsi-1979	42	24	)	)	PUNCT
ajmsi-1979	42	25	.	.	PUNCT
ajmsi-1979	43	1	jothi	jothi	PROPN
ajmsi-1979	43	2	and	and	CCONJ
ajmsi-1979	43	3	husain	husain	PROPN
ajmsi-1979	43	4	(	(	PUNCT
ajmsi-1979	43	5	2015	2015	NUM
ajmsi-1979	43	6	)	)	PUNCT
ajmsi-1979	43	7	illustrated	illustrate	VERB
ajmsi-1979	43	8	that	that	SCONJ
ajmsi-1979	43	9	the	the	DET
ajmsi-1979	43	10	most	most	ADV
ajmsi-1979	43	11	important	important	ADJ
ajmsi-1979	43	12	step	step	NOUN
ajmsi-1979	43	13	of	of	ADP
ajmsi-1979	43	14	data	datum	NOUN
ajmsi-1979	43	15	mining	mining	NOUN
ajmsi-1979	43	16	is	be	AUX
ajmsi-1979	43	17	kdd	kdd	PROPN
ajmsi-1979	43	18	for	for	ADP
ajmsi-1979	43	19	pattern	pattern	NOUN
ajmsi-1979	43	20	discovery	discovery	NOUN
ajmsi-1979	43	21	and	and	CCONJ
ajmsi-1979	43	22	extraction	extraction	NOUN
ajmsi-1979	43	23	with	with	ADP
ajmsi-1979	43	24	the	the	DET
ajmsi-1979	43	25	involvement	involvement	NOUN
ajmsi-1979	43	26	of	of	ADP
ajmsi-1979	43	27	a	a	DET
ajmsi-1979	43	28	huge	huge	ADJ
ajmsi-1979	43	29	amount	amount	NOUN
ajmsi-1979	43	30	of	of	ADP
ajmsi-1979	43	31	data	datum	NOUN
ajmsi-1979	43	32	.	.	PUNCT
ajmsi-1979	44	1	the	the	DET
ajmsi-1979	44	2	paper	paper	NOUN
ajmsi-1979	44	3	reviewed	review	VERB
ajmsi-1979	44	4	various	various	ADJ
ajmsi-1979	44	5	emerging	emerge	VERB
ajmsi-1979	44	6	models	model	NOUN
ajmsi-1979	44	7	and	and	CCONJ
ajmsi-1979	44	8	techniques	technique	NOUN
ajmsi-1979	44	9	in	in	ADP
ajmsi-1979	44	10	this	this	DET
ajmsi-1979	44	11	regard	regard	NOUN
ajmsi-1979	44	12	,	,	PUNCT
ajmsi-1979	44	13	and	and	CCONJ
ajmsi-1979	44	14	results	result	NOUN
ajmsi-1979	44	15	from	from	ADP
ajmsi-1979	44	16	the	the	DET
ajmsi-1979	44	17	paper	paper	NOUN
ajmsi-1979	44	18	review	review	NOUN
ajmsi-1979	44	19	revealed	reveal	VERB
ajmsi-1979	44	20	that	that	SCONJ
ajmsi-1979	44	21	tasks	task	NOUN
ajmsi-1979	44	22	of	of	ADP
ajmsi-1979	44	23	classification	classification	NOUN
ajmsi-1979	44	24	,	,	PUNCT
ajmsi-1979	44	25	clustering	clustering	NOUN
ajmsi-1979	44	26	,	,	PUNCT
ajmsi-1979	44	27	association	association	NOUN
ajmsi-1979	44	28	rules	rule	NOUN
ajmsi-1979	44	29	,	,	PUNCT
ajmsi-1979	44	30	and	and	CCONJ
ajmsi-1979	44	31	anomaly	anomaly	NOUN
ajmsi-1979	44	32	detection	detection	NOUN
ajmsi-1979	44	33	are	be	AUX
ajmsi-1979	44	34	the	the	DET
ajmsi-1979	44	35	most	most	ADV
ajmsi-1979	44	36	used	use	VERB
ajmsi-1979	44	37	methods	method	NOUN
ajmsi-1979	44	38	in	in	ADP
ajmsi-1979	44	39	the	the	DET
ajmsi-1979	44	40	medical	medical	ADJ
ajmsi-1979	44	41	sector	sector	NOUN
ajmsi-1979	44	42	.	.	PUNCT
ajmsi-1979	45	1	the	the	DET
ajmsi-1979	45	2	widely	widely	ADV
ajmsi-1979	45	3	used	use	VERB
ajmsi-1979	45	4	algorithms	algorithm	NOUN
ajmsi-1979	45	5	are	be	AUX
ajmsi-1979	45	6	decision	decision	NOUN
ajmsi-1979	45	7	tree	tree	NOUN
ajmsi-1979	45	8	,	,	PUNCT
ajmsi-1979	45	9	discriminant	discriminant	ADJ
ajmsi-1979	45	10	analysis	analysis	NOUN
ajmsi-1979	45	11	,	,	PUNCT
ajmsi-1979	45	12	swarm	swarm	NOUN
ajmsi-1979	45	13	intelligence	intelligence	NOUN
ajmsi-1979	45	14	,	,	PUNCT
ajmsi-1979	45	15	artificial	artificial	ADJ
ajmsi-1979	45	16	neural	neural	ADJ
ajmsi-1979	45	17	network	network	NOUN
ajmsi-1979	45	18	,	,	PUNCT
ajmsi-1979	45	19	k	k	NOUN
ajmsi-1979	45	20	-	-	PUNCT
ajmsi-1979	45	21	nearest	near	ADJ
ajmsi-1979	45	22	neighbour	neighbour	NOUN
ajmsi-1979	45	23	,	,	PUNCT
ajmsi-1979	45	24	association	association	NOUN
ajmsi-1979	45	25	rule	rule	NOUN
ajmsi-1979	45	26	,	,	PUNCT
ajmsi-1979	45	27	and	and	CCONJ
ajmsi-1979	45	28	support	support	VERB
ajmsi-1979	45	29	vector	vector	NOUN
ajmsi-1979	45	30	rule	rule	NOUN
ajmsi-1979	45	31	(	(	PUNCT
ajmsi-1979	45	32	jothi	jothi	PROPN
ajmsi-1979	45	33	&	&	CCONJ
ajmsi-1979	45	34	husain	husain	PROPN
ajmsi-1979	45	35	,	,	PUNCT
ajmsi-1979	45	36	2015	2015	NUM
ajmsi-1979	45	37	)	)	PUNCT
ajmsi-1979	45	38	.	.	PUNCT
ajmsi-1979	46	1	mdaghri	mdaghri	PROPN
ajmsi-1979	46	2	et	et	PROPN
ajmsi-1979	46	3	al	al	PROPN
ajmsi-1979	46	4	.	.	PUNCT
ajmsi-1979	47	1	(	(	PUNCT
ajmsi-1979	47	2	2016	2016	NUM
ajmsi-1979	47	3	)	)	PUNCT
ajmsi-1979	47	4	elaborated	elaborate	VERB
ajmsi-1979	47	5	that	that	SCONJ
ajmsi-1979	47	6	data	datum	NOUN
ajmsi-1979	47	7	mining	mining	NOUN
ajmsi-1979	47	8	has	have	AUX
ajmsi-1979	47	9	been	be	AUX
ajmsi-1979	47	10	widespread	widespread	ADJ
ajmsi-1979	47	11	in	in	ADP
ajmsi-1979	47	12	the	the	DET
ajmsi-1979	47	13	many	many	ADJ
ajmsi-1979	47	14	applications	application	NOUN
ajmsi-1979	47	15	of	of	ADP
ajmsi-1979	47	16	clinical	clinical	ADJ
ajmsi-1979	47	17	decision	decision	NOUN
ajmsi-1979	47	18	support	support	NOUN
ajmsi-1979	47	19	systems	system	NOUN
ajmsi-1979	47	20	(	(	PUNCT
ajmsi-1979	47	21	cdds	cdd	NOUN
ajmsi-1979	47	22	)	)	PUNCT
ajmsi-1979	47	23	such	such	ADJ
ajmsi-1979	47	24	as	as	ADP
ajmsi-1979	47	25	alerting	alert	VERB
ajmsi-1979	47	26	systems	system	NOUN
ajmsi-1979	47	27	,	,	PUNCT
ajmsi-1979	47	28	information	information	NOUN
ajmsi-1979	47	29	retrieval	retrieval	NOUN
ajmsi-1979	47	30	,	,	PUNCT
ajmsi-1979	47	31	suggestion	suggestion	NOUN
ajmsi-1979	47	32	systems	system	NOUN
ajmsi-1979	47	33	,	,	PUNCT
ajmsi-1979	47	34	reminders	reminder	NOUN
ajmsi-1979	47	35	,	,	PUNCT
ajmsi-1979	47	36	and	and	CCONJ
ajmsi-1979	47	37	prediction	prediction	NOUN
ajmsi-1979	47	38	models	model	NOUN
ajmsi-1979	47	39	(	(	PUNCT
ajmsi-1979	47	40	mdaghri	mdaghri	PROPN
ajmsi-1979	47	41	et	et	PROPN
ajmsi-1979	47	42	al	al	PROPN
ajmsi-1979	47	43	.	.	PROPN
ajmsi-1979	47	44	,	,	PUNCT
ajmsi-1979	47	45	2016	2016	NUM
ajmsi-1979	47	46	)	)	PUNCT
ajmsi-1979	47	47	.	.	PUNCT
ajmsi-1979	48	1	risk	risk	NOUN
ajmsi-1979	48	2	prediction	prediction	NOUN
ajmsi-1979	48	3	of	of	ADP
ajmsi-1979	48	4	thalassemia	thalassemia	NOUN
ajmsi-1979	48	5	using	use	VERB
ajmsi-1979	48	6	data	datum	NOUN
ajmsi-1979	48	7	mining	mining	NOUN
ajmsi-1979	48	8	jatoi	jatoi	PROPN
ajmsi-1979	48	9	et	et	PROPN
ajmsi-1979	48	10	al	al	PROPN
ajmsi-1979	48	11	.	.	PROPN
ajmsi-1979	49	1	(	(	PUNCT
ajmsi-1979	49	2	2018	2018	NUM
ajmsi-1979	49	3	)	)	PUNCT
ajmsi-1979	49	4	examined	examine	VERB
ajmsi-1979	49	5	the	the	DET
ajmsi-1979	49	6	core	core	NOUN
ajmsi-1979	49	7	relationship	relationship	NOUN
ajmsi-1979	49	8	between	between	ADP
ajmsi-1979	49	9	thalassemia	thalassemia	NOUN
ajmsi-1979	49	10	and	and	CCONJ
ajmsi-1979	49	11	anemia	anemia	NOUN
ajmsi-1979	49	12	from	from	ADP
ajmsi-1979	49	13	the	the	DET
ajmsi-1979	49	14	cbc	cbc	PROPN
ajmsi-1979	49	15	test	test	NOUN
ajmsi-1979	49	16	.	.	PUNCT
ajmsi-1979	50	1	the	the	DET
ajmsi-1979	50	2	relationship	relationship	NOUN
ajmsi-1979	50	3	between	between	ADP
ajmsi-1979	50	4	the	the	DET
ajmsi-1979	50	5	two	two	NUM
ajmsi-1979	50	6	was	be	AUX
ajmsi-1979	50	7	exploited	exploit	VERB
ajmsi-1979	50	8	to	to	PART
ajmsi-1979	50	9	predict	predict	VERB
ajmsi-1979	50	10	and	and	CCONJ
ajmsi-1979	50	11	identify	identify	VERB
ajmsi-1979	50	12	the	the	DET
ajmsi-1979	50	13	possibility	possibility	NOUN
ajmsi-1979	50	14	of	of	ADP
ajmsi-1979	50	15	getting	get	VERB
ajmsi-1979	50	16	thalassemia	thalassemia	NOUN
ajmsi-1979	50	17	for	for	ADP
ajmsi-1979	50	18	patients	patient	NOUN
ajmsi-1979	50	19	already	already	ADV
ajmsi-1979	50	20	suffering	suffer	VERB
ajmsi-1979	50	21	from	from	ADP
ajmsi-1979	50	22	anaemia	anaemia	NOUN
ajmsi-1979	50	23	.	.	PUNCT
ajmsi-1979	51	1	the	the	DET
ajmsi-1979	51	2	research	research	NOUN
ajmsi-1979	51	3	was	be	AUX
ajmsi-1979	51	4	conducted	conduct	VERB
ajmsi-1979	51	5	in	in	ADP
ajmsi-1979	51	6	pakistan	pakistan	PROPN
ajmsi-1979	51	7	,	,	PUNCT
ajmsi-1979	51	8	and	and	CCONJ
ajmsi-1979	51	9	the	the	DET
ajmsi-1979	51	10	dataset	dataset	NOUN
ajmsi-1979	51	11	of	of	ADP
ajmsi-1979	51	12	cbc	cbc	PROPN
ajmsi-1979	51	13	reports	report	NOUN
ajmsi-1979	51	14	was	be	AUX
ajmsi-1979	51	15	collected	collect	VERB
ajmsi-1979	51	16	from	from	ADP
ajmsi-1979	51	17	the	the	DET
ajmsi-1979	51	18	diagnostic	diagnostic	ADJ
ajmsi-1979	51	19	and	and	CCONJ
ajmsi-1979	51	20	research	research	NOUN
ajmsi-1979	51	21	laboratory	laboratory	NOUN
ajmsi-1979	51	22	of	of	ADP
ajmsi-1979	51	23	lumhs	lumhs	PROPN
ajmsi-1979	51	24	.	.	PUNCT
ajmsi-1979	52	1	researchers	researcher	NOUN
ajmsi-1979	52	2	with	with	ADP
ajmsi-1979	52	3	the	the	DET
ajmsi-1979	52	4	application	application	NOUN
ajmsi-1979	52	5	of	of	ADP
ajmsi-1979	52	6	the	the	DET
ajmsi-1979	52	7	naïve	naïve	ADJ
ajmsi-1979	52	8	bayesian	bayesian	NOUN
ajmsi-1979	52	9	network	network	NOUN
ajmsi-1979	52	10	algorithm	algorithm	NOUN
ajmsi-1979	52	11	analysed	analyse	VERB
ajmsi-1979	52	12	and	and	CCONJ
ajmsi-1979	52	13	evaluated	evaluate	VERB
ajmsi-1979	52	14	the	the	DET
ajmsi-1979	52	15	dataset	dataset	NOUN
ajmsi-1979	52	16	,	,	PUNCT
ajmsi-1979	52	17	and	and	CCONJ
ajmsi-1979	52	18	it	it	PRON
ajmsi-1979	52	19	was	be	AUX
ajmsi-1979	52	20	revealed	reveal	VERB
ajmsi-1979	52	21	in	in	ADP
ajmsi-1979	52	22	the	the	DET
ajmsi-1979	52	23	final	final	ADJ
ajmsi-1979	52	24	results	result	NOUN
ajmsi-1979	52	25	that	that	PRON
ajmsi-1979	52	26	the	the	DET
ajmsi-1979	52	27	naïve	naïve	ADJ
ajmsi-1979	52	28	bayes	bayes	PROPN
ajmsi-1979	52	29	algorithm	algorithm	PROPN
ajmsi-1979	52	30	has	have	VERB
ajmsi-1979	52	31	the	the	DET
ajmsi-1979	52	32	best	good	ADJ
ajmsi-1979	52	33	capability	capability	NOUN
ajmsi-1979	52	34	to	to	PART
ajmsi-1979	52	35	detect	detect	VERB
ajmsi-1979	52	36	or	or	CCONJ
ajmsi-1979	52	37	predict	predict	VERB
ajmsi-1979	52	38	the	the	DET
ajmsi-1979	52	39	core	core	NOUN
ajmsi-1979	52	40	relationship	relationship	NOUN
ajmsi-1979	52	41	between	between	ADP
ajmsi-1979	52	42	anaemia	anaemia	NOUN
ajmsi-1979	52	43	and	and	CCONJ
ajmsi-1979	52	44	thalassemia	thalassemia	NOUN
ajmsi-1979	52	45	with	with	ADP
ajmsi-1979	52	46	an	an	DET
ajmsi-1979	52	47	accuracy	accuracy	NOUN
ajmsi-1979	52	48	of	of	ADP
ajmsi-1979	52	49	98	98	NUM
ajmsi-1979	52	50	%	%	NOUN
ajmsi-1979	52	51	.	.	PUNCT
ajmsi-1979	53	1	it	it	PRON
ajmsi-1979	53	2	was	be	AUX
ajmsi-1979	53	3	evaluated	evaluate	VERB
ajmsi-1979	53	4	that	that	SCONJ
ajmsi-1979	53	5	out	out	ADP
ajmsi-1979	53	6	of	of	ADP
ajmsi-1979	53	7	400	400	NUM
ajmsi-1979	53	8	patients	patient	NOUN
ajmsi-1979	53	9	,	,	PUNCT
ajmsi-1979	53	10	290	290	NUM
ajmsi-1979	53	11	were	be	AUX
ajmsi-1979	53	12	infected	infect	VERB
ajmsi-1979	53	13	with	with	ADP
ajmsi-1979	53	14	the	the	DET
ajmsi-1979	53	15	disease	disease	NOUN
ajmsi-1979	53	16	,	,	PUNCT
ajmsi-1979	53	17	where	where	SCONJ
ajmsi-1979	53	18	110	110	NUM
ajmsi-1979	53	19	were	be	AUX
ajmsi-1979	53	20	normal	normal	ADJ
ajmsi-1979	53	21	.	.	PUNCT
ajmsi-1979	54	1	results	result	NOUN
ajmsi-1979	54	2	also	also	ADV
ajmsi-1979	54	3	reflected	reflect	VERB
ajmsi-1979	54	4	that	that	SCONJ
ajmsi-1979	54	5	if	if	SCONJ
ajmsi-1979	54	6	patients	patient	NOUN
ajmsi-1979	54	7	have	have	VERB
ajmsi-1979	54	8	high	high	ADJ
ajmsi-1979	54	9	or	or	CCONJ
ajmsi-1979	54	10	low	low	ADJ
ajmsi-1979	54	11	values	value	NOUN
ajmsi-1979	54	12	of	of	ADP
ajmsi-1979	54	13	mcv	mcv	PROPN
ajmsi-1979	54	14	and	and	CCONJ
ajmsi-1979	54	15	mch	mch	PROPN
ajmsi-1979	54	16	,	,	PUNCT
ajmsi-1979	54	17	then	then	ADV
ajmsi-1979	54	18	there	there	PRON
ajmsi-1979	54	19	are	be	VERB
ajmsi-1979	54	20	increased	increase	VERB
ajmsi-1979	54	21	chances	chance	NOUN
ajmsi-1979	54	22	of	of	ADP
ajmsi-1979	54	23	thalassemia	thalassemia	NOUN
ajmsi-1979	54	24	,	,	PUNCT
ajmsi-1979	54	25	and	and	CCONJ
ajmsi-1979	54	26	the	the	DET
ajmsi-1979	54	27	conditions	condition	NOUN
ajmsi-1979	54	28	of	of	ADP
ajmsi-1979	54	29	iron	iron	NOUN
ajmsi-1979	54	30	deficiency	deficiency	NOUN
ajmsi-1979	54	31	and	and	CCONJ
ajmsi-1979	54	32	vitamin	vitamin	NOUN
ajmsi-1979	54	33	b12	b12	NOUN
ajmsi-1979	54	34	are	be	AUX
ajmsi-1979	54	35	slightly	slightly	ADV
ajmsi-1979	54	36	different	different	ADJ
ajmsi-1979	54	37	in	in	ADP
ajmsi-1979	54	38	terms	term	NOUN
ajmsi-1979	54	39	of	of	ADP
ajmsi-1979	54	40	mcv	mcv	PROPN
ajmsi-1979	54	41	and	and	CCONJ
ajmsi-1979	54	42	mch	mch	PROPN
ajmsi-1979	54	43	(	(	PUNCT
ajmsi-1979	54	44	jatoi	jatoi	PROPN
ajmsi-1979	54	45	et	et	PROPN
ajmsi-1979	54	46	al	al	PROPN
ajmsi-1979	54	47	.	.	PROPN
ajmsi-1979	54	48	,	,	PUNCT
ajmsi-1979	54	49	2018	2018	NUM
ajmsi-1979	54	50	)	)	PUNCT
ajmsi-1979	54	51	.	.	PUNCT
ajmsi-1979	55	1	alaa	alaa	PROPN
ajmsi-1979	55	2	and	and	CCONJ
ajmsi-1979	55	3	shurrab	shurrab	PROPN
ajmsi-1979	55	4	(	(	PUNCT
ajmsi-1979	55	5	2017	2017	NUM
ajmsi-1979	55	6	)	)	PUNCT
ajmsi-1979	55	7	applied	apply	VERB
ajmsi-1979	55	8	data	datum	NOUN
ajmsi-1979	55	9	mining	mining	NOUN
ajmsi-1979	55	10	techniques	technique	NOUN
ajmsi-1979	55	11	to	to	PART
ajmsi-1979	55	12	identify	identify	VERB
ajmsi-1979	55	13	the	the	DET
ajmsi-1979	55	14	relations	relation	NOUN
ajmsi-1979	55	15	between	between	ADP
ajmsi-1979	55	16	blood	blood	NOUN
ajmsi-1979	55	17	tumours	tumour	NOUN
ajmsi-1979	55	18	and	and	CCONJ
ajmsi-1979	55	19	characteristics	characteristic	NOUN
ajmsi-1979	55	20	of	of	ADP
ajmsi-1979	55	21	blood	blood	NOUN
ajmsi-1979	55	22	tests	test	NOUN
ajmsi-1979	55	23	to	to	PART
ajmsi-1979	55	24	predict	predict	VERB
ajmsi-1979	55	25	disease	disease	NOUN
ajmsi-1979	55	26	at	at	ADP
ajmsi-1979	55	27	an	an	DET
ajmsi-1979	55	28	early	early	ADJ
ajmsi-1979	55	29	stage	stage	NOUN
ajmsi-1979	55	30	,	,	PUNCT
ajmsi-1979	55	31	as	as	SCONJ
ajmsi-1979	55	32	it	it	PRON
ajmsi-1979	55	33	can	can	AUX
ajmsi-1979	55	34	be	be	AUX
ajmsi-1979	55	35	used	use	VERB
ajmsi-1979	55	36	to	to	PART
ajmsi-1979	55	37	enhance	enhance	VERB
ajmsi-1979	55	38	the	the	DET
ajmsi-1979	55	39	ability	ability	NOUN
ajmsi-1979	55	40	to	to	PART
ajmsi-1979	55	41	cure	cure	VERB
ajmsi-1979	55	42	disease	disease	NOUN
ajmsi-1979	55	43	.	.	PUNCT
ajmsi-1979	56	1	three	three	NUM
ajmsi-1979	56	2	data	datum	NOUN
ajmsi-1979	56	3	mining	mining	NOUN
ajmsi-1979	56	4	techniques	technique	NOUN
ajmsi-1979	56	5	were	be	AUX
ajmsi-1979	56	6	used	use	VERB
ajmsi-1979	56	7	,	,	PUNCT
ajmsi-1979	56	8	i.e.	i.e.	X
ajmsi-1979	56	9	rule	rule	NOUN
ajmsi-1979	56	10	induction	induction	NOUN
ajmsi-1979	56	11	,	,	PUNCT
ajmsi-1979	56	12	association	association	NOUN
ajmsi-1979	56	13	rules	rule	NOUN
ajmsi-1979	56	14	,	,	PUNCT
ajmsi-1979	56	15	and	and	CCONJ
ajmsi-1979	56	16	deep	deep	ADJ
ajmsi-1979	56	17	learning	learning	NOUN
ajmsi-1979	56	18	,	,	PUNCT
ajmsi-1979	56	19	to	to	PART
ajmsi-1979	56	20	predict	predict	VERB
ajmsi-1979	56	21	or	or	CCONJ
ajmsi-1979	56	22	classify	classify	VERB
ajmsi-1979	56	23	normal	normal	ADJ
ajmsi-1979	56	24	patients	patient	NOUN
ajmsi-1979	56	25	from	from	ADP
ajmsi-1979	56	26	the	the	DET
ajmsi-1979	56	27	ones	one	NOUN
ajmsi-1979	56	28	suffering	suffer	VERB
ajmsi-1979	56	29	from	from	ADP
ajmsi-1979	56	30	blood	blood	NOUN
ajmsi-1979	56	31	tumours	tumour	NOUN
ajmsi-1979	56	32	.	.	PUNCT
ajmsi-1979	57	1	real	real	ADJ
ajmsi-1979	57	2	-	-	PUNCT
ajmsi-1979	57	3	time	time	NOUN
ajmsi-1979	57	4	data	datum	NOUN
ajmsi-1979	57	5	was	be	AUX
ajmsi-1979	57	6	collected	collect	VERB
ajmsi-1979	57	7	from	from	ADP
ajmsi-1979	57	8	gaza	gaza	PROPN
ajmsi-1979	57	9	european	european	PROPN
ajmsi-1979	57	10	hospital	hospital	PROPN
ajmsi-1979	57	11	in	in	ADP
ajmsi-1979	57	12	palestine	palestine	PROPN
ajmsi-1979	57	13	,	,	PUNCT
ajmsi-1979	57	14	and	and	CCONJ
ajmsi-1979	57	15	results	result	NOUN
ajmsi-1979	57	16	showed	show	VERB
ajmsi-1979	57	17	that	that	SCONJ
ajmsi-1979	57	18	association	association	NOUN
ajmsi-1979	57	19	rules	rule	NOUN
ajmsi-1979	57	20	provide	provide	VERB
ajmsi-1979	57	21	the	the	DET
ajmsi-1979	57	22	best	good	ADJ
ajmsi-1979	57	23	relationship	relationship	NOUN
ajmsi-1979	57	24	between	between	ADP
ajmsi-1979	57	25	blood	blood	NOUN
ajmsi-1979	57	26	tumour	tumour	NOUN
ajmsi-1979	57	27	and	and	CCONJ
ajmsi-1979	57	28	blood	blood	NOUN
ajmsi-1979	57	29	test	test	NOUN
ajmsi-1979	57	30	characteristics	characteristic	NOUN
ajmsi-1979	57	31	.	.	PUNCT
ajmsi-1979	58	1	however	however	ADV
ajmsi-1979	58	2	,	,	PUNCT
ajmsi-1979	58	3	deep	deep	ADJ
ajmsi-1979	58	4	learning	learning	NOUN
ajmsi-1979	58	5	classifiers	classifier	NOUN
ajmsi-1979	58	6	are	be	AUX
ajmsi-1979	58	7	best	good	ADJ
ajmsi-1979	58	8	for	for	ADP
ajmsi-1979	58	9	predicting	predict	VERB
ajmsi-1979	58	10	tumour	tumour	ADJ
ajmsi-1979	58	11	types	type	NOUN
ajmsi-1979	58	12	,	,	PUNCT
ajmsi-1979	58	13	providing	provide	VERB
ajmsi-1979	58	14	an	an	DET
ajmsi-1979	58	15	accuracy	accuracy	NOUN
ajmsi-1979	58	16	of	of	ADP
ajmsi-1979	58	17	79.45	79.45	NUM
ajmsi-1979	58	18	%	%	NOUN
ajmsi-1979	58	19	.	.	PUNCT
ajmsi-1979	59	1	association	association	NOUN
ajmsi-1979	59	2	rules	rule	NOUN
ajmsi-1979	59	3	best	well	ADV
ajmsi-1979	59	4	describe	describe	VERB
ajmsi-1979	59	5	both	both	DET
ajmsi-1979	59	6	normal	normal	ADJ
ajmsi-1979	59	7	haematology	haematology	NOUN
ajmsi-1979	59	8	and	and	CCONJ
ajmsi-1979	59	9	tumours	tumour	NOUN
ajmsi-1979	59	10	in	in	ADP
ajmsi-1979	59	11	blood	blood	NOUN
ajmsi-1979	59	12	and	and	CCONJ
ajmsi-1979	59	13	are	be	AUX
ajmsi-1979	59	14	identified	identify	VERB
ajmsi-1979	59	15	as	as	SCONJ
ajmsi-1979	59	16	follows	follow	VERB
ajmsi-1979	59	17	in	in	ADP
ajmsi-1979	59	18	the	the	DET
ajmsi-1979	59	19	current	current	ADJ
ajmsi-1979	59	20	research	research	NOUN
ajmsi-1979	59	21	using	use	VERB
ajmsi-1979	59	22	the	the	DET
ajmsi-1979	59	23	inductive	inductive	ADJ
ajmsi-1979	59	24	rules	rule	NOUN
ajmsi-1979	59	25	method	method	NOUN
ajmsi-1979	59	26	(	(	PUNCT
ajmsi-1979	59	27	alaa	alaa	PROPN
ajmsi-1979	59	28	&	&	CCONJ
ajmsi-1979	59	29	shurrab	shurrab	PROPN
ajmsi-1979	59	30	,	,	PUNCT
ajmsi-1979	59	31	2017	2017	NUM
ajmsi-1979	59	32	)	)	PUNCT
ajmsi-1979	59	33	.	.	PUNCT
ajmsi-1979	60	1	abdullah	abdullah	PROPN
ajmsi-1979	60	2	and	and	CCONJ
ajmsi-1979	60	3	al	al	PROPN
ajmsi-1979	60	4	-	-	PUNCT
ajmsi-1979	60	5	asmari	asmari	PROPN
ajmsi-1979	60	6	(	(	PUNCT
ajmsi-1979	60	7	2016	2016	NUM
ajmsi-1979	60	8	)	)	PUNCT
ajmsi-1979	60	9	specified	specify	VERB
ajmsi-1979	60	10	the	the	DET
ajmsi-1979	60	11	types	type	NOUN
ajmsi-1979	60	12	of	of	ADP
ajmsi-1979	60	13	anaemia	anaemia	NOUN
ajmsi-1979	60	14	for	for	ADP
ajmsi-1979	60	15	anaemic	anaemic	ADJ
ajmsi-1979	60	16	patients	patient	NOUN
ajmsi-1979	60	17	by	by	ADP
ajmsi-1979	60	18	using	use	VERB
ajmsi-1979	60	19	classification	classification	NOUN
ajmsi-1979	60	20	algorithms	algorithm	NOUN
ajmsi-1979	60	21	of	of	ADP
ajmsi-1979	60	22	data	datum	NOUN
ajmsi-1979	60	23	mining	mining	NOUN
ajmsi-1979	60	24	and	and	CCONJ
ajmsi-1979	60	25	constructing	construct	VERB
ajmsi-1979	60	26	a	a	DET
ajmsi-1979	60	27	predictive	predictive	ADJ
ajmsi-1979	60	28	model	model	NOUN
ajmsi-1979	60	29	.	.	PUNCT
ajmsi-1979	61	1	the	the	DET
ajmsi-1979	61	2	dataset	dataset	NOUN
ajmsi-1979	61	3	was	be	AUX
ajmsi-1979	61	4	made	make	VERB
ajmsi-1979	61	5	by	by	ADP
ajmsi-1979	61	6	filtering	filter	VERB
ajmsi-1979	61	7	and	and	CCONJ
ajmsi-1979	61	8	eliminating	eliminate	VERB
ajmsi-1979	61	9	the	the	DET
ajmsi-1979	61	10	variables	variable	NOUN
ajmsi-1979	61	11	that	that	PRON
ajmsi-1979	61	12	were	be	AUX
ajmsi-1979	61	13	not	not	PART
ajmsi-1979	61	14	desired	desire	VERB
ajmsi-1979	61	15	,	,	PUNCT
ajmsi-1979	61	16	and	and	CCONJ
ajmsi-1979	61	17	then	then	ADV
ajmsi-1979	61	18	some	some	DET
ajmsi-1979	61	19	classification	classification	NOUN
ajmsi-1979	61	20	algorithms	algorithm	NOUN
ajmsi-1979	61	21	such	such	ADJ
ajmsi-1979	61	22	as	as	ADP
ajmsi-1979	61	23	smo	smo	PROPN
ajmsi-1979	61	24	,	,	PUNCT
ajmsi-1979	61	25	multilayer	multilayer	PROPN
ajmsi-1979	61	26	perceptron	perceptron	PROPN
ajmsi-1979	61	27	,	,	PUNCT
ajmsi-1979	61	28	naïve	naïve	ADJ
ajmsi-1979	61	29	bayes	bayes	NOUN
ajmsi-1979	61	30	,	,	PUNCT
ajmsi-1979	61	31	and	and	CCONJ
ajmsi-1979	61	32	j48	j48	ADJ
ajmsi-1979	61	33	decision	decision	NOUN
ajmsi-1979	61	34	tree	tree	NOUN
ajmsi-1979	61	35	were	be	AUX
ajmsi-1979	61	36	applied	apply	VERB
ajmsi-1979	61	37	to	to	ADP
ajmsi-1979	61	38	the	the	DET
ajmsi-1979	61	39	weka	weka	PROPN
ajmsi-1979	61	40	tool	tool	PROPN
ajmsi-1979	61	41	of	of	ADP
ajmsi-1979	61	42	data	datum	NOUN
ajmsi-1979	61	43	mining	mining	NOUN
ajmsi-1979	61	44	to	to	ADP
ajmsi-1979	61	45	present	present	ADJ
ajmsi-1979	61	46	results	result	NOUN
ajmsi-1979	61	47	.	.	PUNCT
ajmsi-1979	62	1	after	after	ADP
ajmsi-1979	62	2	performing	perform	VERB
ajmsi-1979	62	3	several	several	ADJ
ajmsi-1979	62	4	experiments	experiment	NOUN
ajmsi-1979	62	5	,	,	PUNCT
ajmsi-1979	62	6	the	the	DET
ajmsi-1979	62	7	weka	weka	PROPN
ajmsi-1979	62	8	experimenter	experimenter	PROPN
ajmsi-1979	62	9	has	have	AUX
ajmsi-1979	62	10	proven	prove	VERB
ajmsi-1979	62	11	that	that	SCONJ
ajmsi-1979	62	12	the	the	DET
ajmsi-1979	62	13	best	good	ADJ
ajmsi-1979	62	14	accuracy	accuracy	NOUN
ajmsi-1979	62	15	is	be	AUX
ajmsi-1979	62	16	provided	provide	VERB
ajmsi-1979	62	17	by	by	ADP
ajmsi-1979	62	18	the	the	DET
ajmsi-1979	62	19	j48	j48	PROPN
ajmsi-1979	62	20	decision	decision	NOUN
ajmsi-1979	62	21	tree	tree	NOUN
ajmsi-1979	62	22	algorithm	algorithm	NOUN
ajmsi-1979	62	23	,	,	PUNCT
ajmsi-1979	62	24	giving	give	VERB
ajmsi-1979	62	25	the	the	DET
ajmsi-1979	62	26	best	good	ADJ
ajmsi-1979	62	27	potential	potential	ADJ
ajmsi-1979	62	28	classification	classification	NOUN
ajmsi-1979	62	29	of	of	ADP
ajmsi-1979	62	30	anaemia	anaemia	NOUN
ajmsi-1979	62	31	types	type	NOUN
ajmsi-1979	62	32	.	.	PUNCT
ajmsi-1979	63	1	evaluation	evaluation	NOUN
ajmsi-1979	63	2	of	of	ADP
ajmsi-1979	63	3	data	datum	NOUN
ajmsi-1979	63	4	from	from	ADP
ajmsi-1979	63	5	41	41	NUM
ajmsi-1979	63	6	patients	patient	NOUN
ajmsi-1979	63	7	was	be	AUX
ajmsi-1979	63	8	done	do	VERB
ajmsi-1979	63	9	with	with	ADP
ajmsi-1979	63	10	several	several	ADJ
ajmsi-1979	63	11	percentage	percentage	NOUN
ajmsi-1979	63	12	splits	split	NOUN
ajmsi-1979	63	13	of	of	ADP
ajmsi-1979	63	14	the	the	DET
ajmsi-1979	63	15	dataset	dataset	NOUN
ajmsi-1979	63	16	,	,	PUNCT
ajmsi-1979	63	17	i.e.	i.e.	X
ajmsi-1979	63	18	20	20	NUM
ajmsi-1979	63	19	%	%	NOUN
ajmsi-1979	63	20	,	,	PUNCT
ajmsi-1979	63	21	40	40	NUM
ajmsi-1979	63	22	%	%	NOUN
ajmsi-1979	63	23	,	,	PUNCT
ajmsi-1979	63	24	and	and	CCONJ
ajmsi-1979	63	25	60	60	NUM
ajmsi-1979	63	26	%	%	NOUN
ajmsi-1979	63	27	.	.	PUNCT
ajmsi-1979	64	1	furthermore	furthermore	ADV
ajmsi-1979	64	2	,	,	PUNCT
ajmsi-1979	64	3	comparing	compare	VERB
ajmsi-1979	64	4	the	the	DET
ajmsi-1979	64	5	results	result	NOUN
ajmsi-1979	64	6	for	for	ADP
ajmsi-1979	64	7	four	four	NUM
ajmsi-1979	64	8	algorithms	algorithm	NOUN
ajmsi-1979	64	9	,	,	PUNCT
ajmsi-1979	64	10	it	it	PRON
ajmsi-1979	64	11	was	be	AUX
ajmsi-1979	64	12	observed	observe	VERB
ajmsi-1979	64	13	that	that	SCONJ
ajmsi-1979	64	14	the	the	DET
ajmsi-1979	64	15	best	good	ADJ
ajmsi-1979	64	16	accuracy	accuracy	NOUN
ajmsi-1979	64	17	of	of	ADP
ajmsi-1979	64	18	93.75	93.75	NUM
ajmsi-1979	64	19	%	%	NOUN
ajmsi-1979	64	20	was	be	AUX
ajmsi-1979	64	21	obtained	obtain	VERB
ajmsi-1979	64	22	from	from	ADP
ajmsi-1979	64	23	smo	smo	PROPN
ajmsi-1979	64	24	and	and	CCONJ
ajmsi-1979	64	25	j48	j48	ADJ
ajmsi-1979	64	26	decision	decision	NOUN
ajmsi-1979	64	27	tree	tree	NOUN
ajmsi-1979	64	28	(	(	PUNCT
ajmsi-1979	64	29	abdullah	abdullah	PROPN
ajmsi-1979	64	30	&	&	CCONJ
ajmsi-1979	64	31	al	al	PROPN
ajmsi-1979	64	32	-	-	PUNCT
ajmsi-1979	64	33	asmari	asmari	PROPN
ajmsi-1979	64	34	,	,	PUNCT
ajmsi-1979	64	35	2016	2016	NUM
ajmsi-1979	64	36	)	)	PUNCT
ajmsi-1979	64	37	.	.	PUNCT
ajmsi-1979	65	1	alagha	alagha	PROPN
ajmsi-1979	65	2	et	et	PROPN
ajmsi-1979	65	3	al	al	PROPN
ajmsi-1979	65	4	.	.	PROPN
ajmsi-1979	66	1	(	(	PUNCT
ajmsi-1979	66	2	2018	2018	NUM
ajmsi-1979	66	3	)	)	PUNCT
ajmsi-1979	66	4	collected	collect	VERB
ajmsi-1979	66	5	data	datum	NOUN
ajmsi-1979	66	6	on	on	ADP
ajmsi-1979	66	7	patients	patient	NOUN
ajmsi-1979	66	8	suffering	suffer	VERB
ajmsi-1979	66	9	from	from	ADP
ajmsi-1979	66	10	thalassemia	thalassemia	NOUN
ajmsi-1979	66	11	from	from	ADP
ajmsi-1979	66	12	the	the	DET
ajmsi-1979	66	13	palestine	palestine	PROPN
ajmsi-1979	66	14	avenir	avenir	PROPN
ajmsi-1979	66	15	foundation	foundation	PROPN
ajmsi-1979	66	16	to	to	PART
ajmsi-1979	66	17	work	work	VERB
ajmsi-1979	66	18	on	on	ADP
ajmsi-1979	66	19	presenting	present	VERB
ajmsi-1979	66	20	a	a	DET
ajmsi-1979	66	21	model	model	NOUN
ajmsi-1979	66	22	for	for	ADP
ajmsi-1979	66	23	overcoming	overcome	VERB
ajmsi-1979	66	24	the	the	DET
ajmsi-1979	66	25	challenges	challenge	NOUN
ajmsi-1979	66	26	of	of	ADP
ajmsi-1979	66	27	thalassemia	thalassemia	NOUN
ajmsi-1979	66	28	.	.	PUNCT
ajmsi-1979	67	1	the	the	DET
ajmsi-1979	67	2	study	study	NOUN
ajmsi-1979	67	3	aimed	aim	VERB
ajmsi-1979	67	4	to	to	PART
ajmsi-1979	67	5	predict	predict	VERB
ajmsi-1979	67	6	a	a	DET
ajmsi-1979	67	7	special	special	ADJ
ajmsi-1979	67	8	type	type	NOUN
ajmsi-1979	67	9	of	of	ADP
ajmsi-1979	67	10	thalassemia	thalassemia	NOUN
ajmsi-1979	67	11	(	(	PUNCT
ajmsi-1979	67	12	β	β	NOUN
ajmsi-1979	67	13	-	-	NOUN
ajmsi-1979	67	14	thalassemia	thalassemia	NOUN
ajmsi-1979	67	15	)	)	PUNCT
ajmsi-1979	67	16	based	base	VERB
ajmsi-1979	67	17	on	on	ADP
ajmsi-1979	67	18	the	the	DET
ajmsi-1979	67	19	hybrid	hybrid	ADJ
ajmsi-1979	67	20	data	data	NOUN
ajmsi-1979	67	21	mining	mining	NOUN
ajmsi-1979	67	22	model	model	NOUN
ajmsi-1979	67	23	.	.	PUNCT
ajmsi-1979	68	1	additionally	additionally	ADV
ajmsi-1979	68	2	,	,	PUNCT
ajmsi-1979	68	3	to	to	PART
ajmsi-1979	68	4	overcome	overcome	VERB
ajmsi-1979	68	5	the	the	DET
ajmsi-1979	68	6	problem	problem	NOUN
ajmsi-1979	68	7	of	of	ADP
ajmsi-1979	68	8	imbalanced	imbalanced	ADJ
ajmsi-1979	68	9	class	class	NOUN
ajmsi-1979	68	10	distribution	distribution	NOUN
ajmsi-1979	68	11	in	in	ADP
ajmsi-1979	68	12	the	the	DET
ajmsi-1979	68	13	dataset	dataset	NOUN
ajmsi-1979	68	14	,	,	PUNCT
ajmsi-1979	68	15	a	a	DET
ajmsi-1979	68	16	smote	smote	ADJ
ajmsi-1979	68	17	technique	technique	NOUN
ajmsi-1979	68	18	was	be	AUX
ajmsi-1979	68	19	first	first	ADV
ajmsi-1979	68	20	used	use	VERB
ajmsi-1979	68	21	and	and	CCONJ
ajmsi-1979	68	22	applied	apply	VERB
ajmsi-1979	68	23	to	to	PART
ajmsi-1979	68	24	deal	deal	VERB
ajmsi-1979	68	25	with	with	ADP
ajmsi-1979	68	26	this	this	DET
ajmsi-1979	68	27	problem	problem	NOUN
ajmsi-1979	68	28	.	.	PUNCT
ajmsi-1979	69	1	the	the	DET
ajmsi-1979	69	2	second	second	ADJ
ajmsi-1979	69	3	step	step	NOUN
ajmsi-1979	69	4	utilised	utilise	VERB
ajmsi-1979	69	5	four	four	NUM
ajmsi-1979	69	6	classification	classification	NOUN
ajmsi-1979	69	7	models	model	NOUN
ajmsi-1979	69	8	to	to	PART
ajmsi-1979	69	9	differentiate	differentiate	VERB
ajmsi-1979	69	10	between	between	ADP
ajmsi-1979	69	11	patients	patient	NOUN
ajmsi-1979	69	12	carrying	carry	VERB
ajmsi-1979	69	13	carriers	carrier	NOUN
ajmsi-1979	69	14	of	of	ADP
ajmsi-1979	69	15	β	β	NOUN
ajmsi-1979	69	16	-	-	NOUN
ajmsi-1979	69	17	thalassemia	thalassemia	NOUN
ajmsi-1979	69	18	and	and	CCONJ
ajmsi-1979	69	19	normal	normal	ADJ
ajmsi-1979	69	20	persons	person	NOUN
ajmsi-1979	69	21	with	with	ADP
ajmsi-1979	69	22	the	the	DET
ajmsi-1979	69	23	help	help	NOUN
ajmsi-1979	69	24	of	of	ADP
ajmsi-1979	69	25	different	different	ADJ
ajmsi-1979	69	26	evaluation	evaluation	NOUN
ajmsi-1979	69	27	metrics	metric	NOUN
ajmsi-1979	69	28	.	.	PUNCT
ajmsi-1979	70	1	the	the	DET
ajmsi-1979	70	2	classification	classification	NOUN
ajmsi-1979	70	3	models	model	NOUN
ajmsi-1979	70	4	used	use	VERB
ajmsi-1979	70	5	were	be	AUX
ajmsi-1979	70	6	decision	decision	NOUN
ajmsi-1979	70	7	tree	tree	NOUN
ajmsi-1979	70	8	,	,	PUNCT
ajmsi-1979	70	9	naïve	naïve	ADJ
ajmsi-1979	70	10	bayes	bayes	NOUN
ajmsi-1979	70	11	,	,	PUNCT
ajmsi-1979	70	12	k	k	NOUN
ajmsi-1979	70	13	-	-	PUNCT
ajmsi-1979	70	14	nearest	near	ADJ
ajmsi-1979	70	15	neighbour	neighbour	NOUN
ajmsi-1979	70	16	(	(	PUNCT
ajmsi-1979	70	17	k	k	NOUN
ajmsi-1979	70	18	-	-	PUNCT
ajmsi-1979	70	19	nn	nn	NOUN
ajmsi-1979	70	20	)	)	PUNCT
ajmsi-1979	70	21	and	and	CCONJ
ajmsi-1979	70	22	multilayer	multilayer	PROPN
ajmsi-1979	70	23	perceptron	perceptron	PROPN
ajmsi-1979	70	24	neural	neural	ADJ
ajmsi-1979	70	25	network	network	NOUN
ajmsi-1979	70	26	.	.	PUNCT
ajmsi-1979	71	1	naïve	naïve	ADJ
ajmsi-1979	71	2	bayes	bayes	PROPN
ajmsi-1979	71	3	provided	provide	VERB
ajmsi-1979	71	4	the	the	DET
ajmsi-1979	71	5	results	result	NOUN
ajmsi-1979	71	6	with	with	ADP
ajmsi-1979	71	7	the	the	DET
ajmsi-1979	71	8	highest	high	ADJ
ajmsi-1979	71	9	accuracy	accuracy	NOUN
ajmsi-1979	71	10	differentiating	differentiating	NOUN
ajmsi-1979	71	11	between	between	ADP
ajmsi-1979	71	12	a	a	DET
ajmsi-1979	71	13	normal	normal	ADJ
ajmsi-1979	71	14	person	person	NOUN
ajmsi-1979	71	15	and	and	CCONJ
ajmsi-1979	71	16	thalassemia	thalassemia	NOUN
ajmsi-1979	71	17	patients	patient	NOUN
ajmsi-1979	71	18	with	with	ADP
ajmsi-1979	71	19	the	the	DET
ajmsi-1979	71	20	sampling	sample	VERB
ajmsi-1979	71	21	smote	smote	ADJ
ajmsi-1979	71	22	ratio	ratio	NOUN
ajmsi-1979	71	23	of	of	ADP
ajmsi-1979	71	24	more	more	ADJ
ajmsi-1979	71	25	than	than	ADP
ajmsi-1979	71	26	400	400	NUM
ajmsi-1979	71	27	%	%	NOUN
ajmsi-1979	71	28	,	,	PUNCT
ajmsi-1979	71	29	revealing	reveal	VERB
ajmsi-1979	71	30	a	a	DET
ajmsi-1979	71	31	sensitivity	sensitivity	NOUN
ajmsi-1979	71	32	of	of	ADP
ajmsi-1979	71	33	98.81	98.81	NUM
ajmsi-1979	71	34	%	%	NOUN
ajmsi-1979	71	35	and	and	CCONJ
ajmsi-1979	71	36	pa	pa	PROPN
ajmsi-1979	71	37	ge	ge	PROPN
ajmsi-1979	71	38	99	99	NUM
ajmsi-1979	71	39	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	71	40	am	be	AUX
ajmsi-1979	71	41	.	.	PUNCT
ajmsi-1979	72	1	j.	j.	PROPN
ajmsi-1979	72	2	med	med	PROPN
ajmsi-1979	72	3	.	.	PUNCT
ajmsi-1979	73	1	sci	sci	PROPN
ajmsi-1979	73	2	.	.	PUNCT
ajmsi-1979	73	3	innov	innov	PROPN
ajmsi-1979	73	4	.	.	PUNCT
ajmsi-1979	74	1	2(2	2(2	NUM
ajmsi-1979	74	2	)	)	PUNCT
ajmsi-1979	74	3	97	97	NUM
ajmsi-1979	74	4	-	-	SYM
ajmsi-1979	74	5	109	109	NUM
ajmsi-1979	74	6	,	,	PUNCT
ajmsi-1979	74	7	2023	2023	NUM
ajmsi-1979	74	8	specificity	specificity	NOUN
ajmsi-1979	74	9	of	of	ADP
ajmsi-1979	74	10	99.47	99.47	NUM
ajmsi-1979	74	11	%	%	NOUN
ajmsi-1979	74	12	(	(	PUNCT
ajmsi-1979	74	13	alagha	alagha	NOUN
ajmsi-1979	74	14	et	et	PROPN
ajmsi-1979	74	15	al	al	PROPN
ajmsi-1979	74	16	.	.	PROPN
ajmsi-1979	74	17	,	,	PUNCT
ajmsi-1979	74	18	2018	2018	NUM
ajmsi-1979	74	19	)	)	PUNCT
ajmsi-1979	74	20	.	.	PUNCT
ajmsi-1979	75	1	meena	meena	PROPN
ajmsi-1979	75	2	et	et	PROPN
ajmsi-1979	75	3	al	al	PROPN
ajmsi-1979	75	4	.	.	PROPN
ajmsi-1979	75	5	(	(	PUNCT
ajmsi-1979	75	6	2019	2019	NUM
ajmsi-1979	75	7	)	)	PUNCT
ajmsi-1979	75	8	developed	develop	VERB
ajmsi-1979	75	9	a	a	DET
ajmsi-1979	75	10	decision	decision	NOUN
ajmsi-1979	75	11	support	support	NOUN
ajmsi-1979	75	12	system	system	NOUN
ajmsi-1979	75	13	using	use	VERB
ajmsi-1979	75	14	data	datum	NOUN
ajmsi-1979	75	15	mining	mining	NOUN
ajmsi-1979	75	16	techniques	technique	NOUN
ajmsi-1979	75	17	as	as	SCONJ
ajmsi-1979	75	18	data	datum	NOUN
ajmsi-1979	75	19	was	be	AUX
ajmsi-1979	75	20	collected	collect	VERB
ajmsi-1979	75	21	from	from	ADP
ajmsi-1979	75	22	a	a	DET
ajmsi-1979	75	23	survey	survey	NOUN
ajmsi-1979	75	24	conducted	conduct	VERB
ajmsi-1979	75	25	by	by	ADP
ajmsi-1979	75	26	the	the	DET
ajmsi-1979	75	27	indian	indian	ADJ
ajmsi-1979	75	28	government	government	NOUN
ajmsi-1979	75	29	in	in	ADP
ajmsi-1979	75	30	2015	2015	NUM
ajmsi-1979	75	31	-	-	SYM
ajmsi-1979	75	32	16	16	NUM
ajmsi-1979	75	33	called	call	VERB
ajmsi-1979	75	34	nfhs-4	nfhs-4	NUM
ajmsi-1979	75	35	.	.	PUNCT
ajmsi-1979	76	1	the	the	DET
ajmsi-1979	76	2	collected	collect	VERB
ajmsi-1979	76	3	data	datum	NOUN
ajmsi-1979	76	4	was	be	AUX
ajmsi-1979	76	5	utilised	utilise	VERB
ajmsi-1979	76	6	to	to	PART
ajmsi-1979	76	7	predict	predict	VERB
ajmsi-1979	76	8	anaemia	anaemia	NOUN
ajmsi-1979	76	9	among	among	ADP
ajmsi-1979	76	10	children	child	NOUN
ajmsi-1979	76	11	and	and	CCONJ
ajmsi-1979	76	12	create	create	VERB
ajmsi-1979	76	13	a	a	DET
ajmsi-1979	76	14	relationship	relationship	NOUN
ajmsi-1979	76	15	between	between	ADP
ajmsi-1979	76	16	a	a	DET
ajmsi-1979	76	17	mother	mother	NOUN
ajmsi-1979	76	18	’s	’s	PART
ajmsi-1979	76	19	diet	diet	NOUN
ajmsi-1979	76	20	during	during	ADP
ajmsi-1979	76	21	pregnancy	pregnancy	NOUN
ajmsi-1979	76	22	and	and	CCONJ
ajmsi-1979	76	23	health	health	NOUN
ajmsi-1979	76	24	affecting	affect	VERB
ajmsi-1979	76	25	the	the	DET
ajmsi-1979	76	26	child	child	NOUN
ajmsi-1979	76	27	’s	’s	PART
ajmsi-1979	76	28	anaemic	anaemic	ADJ
ajmsi-1979	76	29	status	status	NOUN
ajmsi-1979	76	30	.	.	PUNCT
ajmsi-1979	77	1	in	in	ADP
ajmsi-1979	77	2	this	this	DET
ajmsi-1979	77	3	way	way	NOUN
ajmsi-1979	77	4	,	,	PUNCT
ajmsi-1979	77	5	clinicians	clinician	NOUN
ajmsi-1979	77	6	and	and	CCONJ
ajmsi-1979	77	7	parents	parent	NOUN
ajmsi-1979	77	8	can	can	AUX
ajmsi-1979	77	9	understand	understand	VERB
ajmsi-1979	77	10	the	the	DET
ajmsi-1979	77	11	influence	influence	NOUN
ajmsi-1979	77	12	of	of	ADP
ajmsi-1979	77	13	the	the	DET
ajmsi-1979	77	14	practices	practice	NOUN
ajmsi-1979	77	15	of	of	ADP
ajmsi-1979	77	16	feeding	feeding	NOUN
ajmsi-1979	77	17	by	by	ADP
ajmsi-1979	77	18	the	the	DET
ajmsi-1979	77	19	mother	mother	NOUN
ajmsi-1979	77	20	are	be	AUX
ajmsi-1979	77	21	fine	fine	ADJ
ajmsi-1979	77	22	,	,	PUNCT
ajmsi-1979	77	23	and	and	CCONJ
ajmsi-1979	77	24	they	they	PRON
ajmsi-1979	77	25	are	be	AUX
ajmsi-1979	77	26	following	follow	VERB
ajmsi-1979	77	27	guidelines	guideline	NOUN
ajmsi-1979	77	28	to	to	PART
ajmsi-1979	77	29	prevent	prevent	VERB
ajmsi-1979	77	30	anaemia	anaemia	NOUN
ajmsi-1979	77	31	.	.	PUNCT
ajmsi-1979	78	1	the	the	DET
ajmsi-1979	78	2	two	two	NUM
ajmsi-1979	78	3	techniques	technique	NOUN
ajmsi-1979	78	4	of	of	ADP
ajmsi-1979	78	5	association	association	NOUN
ajmsi-1979	78	6	rule	rule	NOUN
ajmsi-1979	78	7	and	and	CCONJ
ajmsi-1979	78	8	decision	decision	NOUN
ajmsi-1979	78	9	tree	tree	NOUN
ajmsi-1979	78	10	were	be	AUX
ajmsi-1979	78	11	applied	apply	VERB
ajmsi-1979	78	12	and	and	CCONJ
ajmsi-1979	78	13	compared	compare	VERB
ajmsi-1979	78	14	for	for	ADP
ajmsi-1979	78	15	the	the	DET
ajmsi-1979	78	16	mentioned	mention	VERB
ajmsi-1979	78	17	aim	aim	NOUN
ajmsi-1979	78	18	,	,	PUNCT
ajmsi-1979	78	19	and	and	CCONJ
ajmsi-1979	78	20	a	a	DET
ajmsi-1979	78	21	model	model	NOUN
ajmsi-1979	78	22	of	of	ADP
ajmsi-1979	78	23	knowledge	knowledge	NOUN
ajmsi-1979	78	24	discovery	discovery	PROPN
ajmsi-1979	78	25	was	be	AUX
ajmsi-1979	78	26	proposed	propose	VERB
ajmsi-1979	78	27	using	use	VERB
ajmsi-1979	78	28	artificial	artificial	ADJ
ajmsi-1979	78	29	intelligence	intelligence	NOUN
ajmsi-1979	78	30	to	to	PART
ajmsi-1979	78	31	propose	propose	VERB
ajmsi-1979	78	32	systems	system	NOUN
ajmsi-1979	78	33	based	base	VERB
ajmsi-1979	78	34	on	on	ADP
ajmsi-1979	78	35	medical	medical	ADJ
ajmsi-1979	78	36	experts	expert	NOUN
ajmsi-1979	78	37	’	'	PUNCT
ajmsi-1979	78	38	advice	advice	NOUN
ajmsi-1979	78	39	.	.	PUNCT
ajmsi-1979	79	1	the	the	DET
ajmsi-1979	79	2	architecture	architecture	NOUN
ajmsi-1979	79	3	of	of	ADP
ajmsi-1979	79	4	the	the	DET
ajmsi-1979	79	5	proposed	propose	VERB
ajmsi-1979	79	6	system	system	NOUN
ajmsi-1979	79	7	depicted	depict	VERB
ajmsi-1979	79	8	the	the	DET
ajmsi-1979	79	9	stages	stage	NOUN
ajmsi-1979	79	10	of	of	ADP
ajmsi-1979	79	11	the	the	DET
ajmsi-1979	79	12	data	data	NOUN
ajmsi-1979	79	13	preprocessing	preprocessing	NOUN
ajmsi-1979	79	14	tier	tier	NOUN
ajmsi-1979	79	15	,	,	PUNCT
ajmsi-1979	79	16	processing	processing	NOUN
ajmsi-1979	79	17	tier	tier	NOUN
ajmsi-1979	79	18	using	use	VERB
ajmsi-1979	79	19	decision	decision	NOUN
ajmsi-1979	79	20	tree	tree	NOUN
ajmsi-1979	79	21	and	and	CCONJ
ajmsi-1979	79	22	association	association	NOUN
ajmsi-1979	79	23	rules	rule	NOUN
ajmsi-1979	79	24	,	,	PUNCT
ajmsi-1979	79	25	and	and	CCONJ
ajmsi-1979	79	26	user	user	NOUN
ajmsi-1979	79	27	tier	tier	NOUN
ajmsi-1979	79	28	(	(	PUNCT
ajmsi-1979	79	29	meena	meena	PROPN
ajmsi-1979	79	30	et	et	PROPN
ajmsi-1979	79	31	al	al	PROPN
ajmsi-1979	79	32	.	.	PROPN
ajmsi-1979	79	33	,	,	PUNCT
ajmsi-1979	79	34	2019	2019	NUM
ajmsi-1979	79	35	)	)	PUNCT
ajmsi-1979	79	36	.	.	PUNCT
ajmsi-1979	80	1	elshami	elshami	NOUN
ajmsi-1979	80	2	and	and	CCONJ
ajmsi-1979	80	3	alhalees	alhalees	PROPN
ajmsi-1979	80	4	(	(	PUNCT
ajmsi-1979	80	5	2012	2012	NUM
ajmsi-1979	80	6	)	)	PUNCT
ajmsi-1979	80	7	performed	perform	VERB
ajmsi-1979	80	8	different	different	ADJ
ajmsi-1979	80	9	experiments	experiment	NOUN
ajmsi-1979	80	10	to	to	PART
ajmsi-1979	80	11	identify	identify	VERB
ajmsi-1979	80	12	the	the	DET
ajmsi-1979	80	13	most	most	ADV
ajmsi-1979	80	14	significant	significant	ADJ
ajmsi-1979	80	15	classifier	classifier	NOUN
ajmsi-1979	80	16	useful	useful	ADJ
ajmsi-1979	80	17	for	for	ADP
ajmsi-1979	80	18	differentiating	differentiate	VERB
ajmsi-1979	80	19	between	between	ADP
ajmsi-1979	80	20	the	the	DET
ajmsi-1979	80	21	multiple	multiple	ADJ
ajmsi-1979	80	22	types	type	NOUN
ajmsi-1979	80	23	of	of	ADP
ajmsi-1979	80	24	thalassemia	thalassemia	NOUN
ajmsi-1979	80	25	(	(	PUNCT
ajmsi-1979	80	26	normal	normal	ADJ
ajmsi-1979	80	27	,	,	PUNCT
ajmsi-1979	80	28	thal	thal	NOUN
ajmsi-1979	80	29	-	-	PUNCT
ajmsi-1979	80	30	i	i	PROPN
ajmsi-1979	80	31	,	,	PUNCT
ajmsi-1979	80	32	thal	thal	NOUN
ajmsi-1979	80	33	-	-	PUNCT
ajmsi-1979	80	34	m	m	PROPN
ajmsi-1979	80	35	,	,	PUNCT
ajmsi-1979	80	36	iron	iron	NOUN
ajmsi-1979	80	37	def	def	ADJ
ajmsi-1979	80	38	/	/	SYM
ajmsi-1979	80	39	thal	thal	NOUN
ajmsi-1979	80	40	-	-	PUNCT
ajmsi-1979	80	41	t	t	PROPN
ajmsi-1979	80	42	,	,	PUNCT
ajmsi-1979	80	43	other	other	ADJ
ajmsi-1979	80	44	)	)	PUNCT
ajmsi-1979	80	45	.	.	PUNCT
ajmsi-1979	81	1	results	result	NOUN
ajmsi-1979	81	2	revealed	reveal	VERB
ajmsi-1979	81	3	that	that	SCONJ
ajmsi-1979	81	4	neural	neural	ADJ
ajmsi-1979	81	5	networks	network	NOUN
ajmsi-1979	81	6	provided	provide	VERB
ajmsi-1979	81	7	the	the	DET
ajmsi-1979	81	8	best	good	ADJ
ajmsi-1979	81	9	classification	classification	NOUN
ajmsi-1979	81	10	outputs	output	NOUN
ajmsi-1979	81	11	for	for	ADP
ajmsi-1979	81	12	detecting	detect	VERB
ajmsi-1979	81	13	or	or	CCONJ
ajmsi-1979	81	14	diagnosing	diagnose	VERB
ajmsi-1979	81	15	different	different	ADJ
ajmsi-1979	81	16	types	type	NOUN
ajmsi-1979	81	17	of	of	ADP
ajmsi-1979	81	18	thalassemia	thalassemia	NOUN
ajmsi-1979	81	19	compared	compare	VERB
ajmsi-1979	81	20	to	to	ADP
ajmsi-1979	81	21	naïve	naïve	ADJ
ajmsi-1979	81	22	bayes	bayes	NOUN
ajmsi-1979	81	23	and	and	CCONJ
ajmsi-1979	81	24	decision	decision	NOUN
ajmsi-1979	81	25	tree	tree	NOUN
ajmsi-1979	81	26	.	.	PUNCT
ajmsi-1979	82	1	almost	almost	ADV
ajmsi-1979	82	2	all	all	DET
ajmsi-1979	82	3	the	the	DET
ajmsi-1979	82	4	experiments	experiment	NOUN
ajmsi-1979	82	5	supported	support	VERB
ajmsi-1979	82	6	the	the	DET
ajmsi-1979	82	7	main	main	ADJ
ajmsi-1979	82	8	feature	feature	NOUN
ajmsi-1979	82	9	of	of	ADP
ajmsi-1979	82	10	mcv	mcv	PROPN
ajmsi-1979	82	11	to	to	PART
ajmsi-1979	82	12	indicate	indicate	VERB
ajmsi-1979	82	13	thalassemia	thalassemia	NOUN
ajmsi-1979	82	14	existence	existence	NOUN
ajmsi-1979	82	15	,	,	PUNCT
ajmsi-1979	82	16	where	where	SCONJ
ajmsi-1979	82	17	the	the	DET
ajmsi-1979	82	18	indicator	indicator	NOUN
ajmsi-1979	82	19	value	value	NOUN
ajmsi-1979	82	20	was	be	AUX
ajmsi-1979	82	21	identified	identify	VERB
ajmsi-1979	82	22	to	to	PART
ajmsi-1979	82	23	be	be	AUX
ajmsi-1979	82	24	less	less	ADJ
ajmsi-1979	82	25	than	than	ADP
ajmsi-1979	82	26	77.65	77.65	NUM
ajmsi-1979	82	27	.	.	PUNCT
ajmsi-1979	83	1	furthermore	furthermore	ADV
ajmsi-1979	83	2	,	,	PUNCT
ajmsi-1979	83	3	if	if	SCONJ
ajmsi-1979	83	4	the	the	DET
ajmsi-1979	83	5	age	age	NOUN
ajmsi-1979	83	6	is	be	AUX
ajmsi-1979	83	7	greater	great	ADJ
ajmsi-1979	83	8	than	than	ADP
ajmsi-1979	83	9	12	12	NUM
ajmsi-1979	83	10	and	and	CCONJ
ajmsi-1979	83	11	the	the	DET
ajmsi-1979	83	12	value	value	NOUN
ajmsi-1979	83	13	of	of	ADP
ajmsi-1979	83	14	mcv	mcv	PROPN
ajmsi-1979	83	15	is	be	AUX
ajmsi-1979	83	16	greater	great	ADJ
ajmsi-1979	83	17	than	than	ADP
ajmsi-1979	83	18	77.65	77.65	NUM
ajmsi-1979	83	19	,	,	PUNCT
ajmsi-1979	83	20	thalassemia	thalassemia	NOUN
ajmsi-1979	83	21	is	be	AUX
ajmsi-1979	83	22	not	not	PART
ajmsi-1979	83	23	possible	possible	ADJ
ajmsi-1979	83	24	in	in	ADP
ajmsi-1979	83	25	an	an	DET
ajmsi-1979	83	26	individual	individual	NOUN
ajmsi-1979	83	27	.	.	PUNCT
ajmsi-1979	84	1	the	the	DET
ajmsi-1979	84	2	results	result	NOUN
ajmsi-1979	84	3	were	be	AUX
ajmsi-1979	84	4	bright	bright	ADJ
ajmsi-1979	84	5	,	,	PUNCT
ajmsi-1979	84	6	with	with	ADP
ajmsi-1979	84	7	an	an	DET
ajmsi-1979	84	8	accuracy	accuracy	NOUN
ajmsi-1979	84	9	greater	great	ADJ
ajmsi-1979	84	10	than	than	ADP
ajmsi-1979	84	11	90	90	NUM
ajmsi-1979	84	12	%	%	NOUN
ajmsi-1979	84	13	(	(	PUNCT
ajmsi-1979	84	14	elshami	elshami	PROPN
ajmsi-1979	84	15	&	&	CCONJ
ajmsi-1979	84	16	alhalees	alhalees	PROPN
ajmsi-1979	84	17	,	,	PUNCT
ajmsi-1979	84	18	2012	2012	NUM
ajmsi-1979	84	19	)	)	PUNCT
ajmsi-1979	84	20	.	.	PUNCT
ajmsi-1979	85	1	hasani	hasani	PROPN
ajmsi-1979	85	2	and	and	CCONJ
ajmsi-1979	85	3	hanani	hanani	NOUN
ajmsi-1979	85	4	(	(	PUNCT
ajmsi-1979	85	5	2017	2017	NUM
ajmsi-1979	85	6	)	)	PUNCT
ajmsi-1979	85	7	investigated	investigate	VERB
ajmsi-1979	85	8	the	the	DET
ajmsi-1979	85	9	three	three	NUM
ajmsi-1979	85	10	types	type	NOUN
ajmsi-1979	85	11	of	of	ADP
ajmsi-1979	85	12	anaemia	anaemia	NOUN
ajmsi-1979	85	13	,	,	PUNCT
ajmsi-1979	85	14	including	include	VERB
ajmsi-1979	85	15	α	α	NOUN
ajmsi-1979	85	16	-	-	PUNCT
ajmsi-1979	85	17	thalassemia	thalassemia	NOUN
ajmsi-1979	85	18	trait	trait	NOUN
ajmsi-1979	85	19	,	,	PUNCT
ajmsi-1979	85	20	β	β	NOUN
ajmsi-1979	85	21	-	-	PUNCT
ajmsi-1979	85	22	thalassemia	thalassemia	NOUN
ajmsi-1979	85	23	trait	trait	NOUN
ajmsi-1979	85	24	and	and	CCONJ
ajmsi-1979	85	25	iron	iron	NOUN
ajmsi-1979	85	26	deficiency	deficiency	NOUN
ajmsi-1979	85	27	anaemia	anaemia	NOUN
ajmsi-1979	85	28	,	,	PUNCT
ajmsi-1979	85	29	as	as	SCONJ
ajmsi-1979	85	30	detecting	detect	VERB
ajmsi-1979	85	31	them	they	PRON
ajmsi-1979	85	32	is	be	AUX
ajmsi-1979	85	33	crucial	crucial	ADJ
ajmsi-1979	85	34	due	due	ADP
ajmsi-1979	85	35	to	to	ADP
ajmsi-1979	85	36	their	their	PRON
ajmsi-1979	85	37	similar	similar	ADJ
ajmsi-1979	85	38	blood	blood	NOUN
ajmsi-1979	85	39	characteristics	characteristic	NOUN
ajmsi-1979	85	40	.	.	PUNCT
ajmsi-1979	86	1	also	also	ADV
ajmsi-1979	86	2	,	,	PUNCT
ajmsi-1979	86	3	the	the	DET
ajmsi-1979	86	4	tests	test	NOUN
ajmsi-1979	86	5	for	for	ADP
ajmsi-1979	86	6	their	their	PRON
ajmsi-1979	86	7	diagnosis	diagnosis	NOUN
ajmsi-1979	86	8	are	be	AUX
ajmsi-1979	86	9	costly	costly	ADJ
ajmsi-1979	86	10	and	and	CCONJ
ajmsi-1979	86	11	time	time	NOUN
ajmsi-1979	86	12	-	-	PUNCT
ajmsi-1979	86	13	consuming	consume	VERB
ajmsi-1979	86	14	;	;	PUNCT
ajmsi-1979	86	15	therefore	therefore	ADV
ajmsi-1979	86	16	,	,	PUNCT
ajmsi-1979	86	17	an	an	DET
ajmsi-1979	86	18	accurate	accurate	ADJ
ajmsi-1979	86	19	model	model	NOUN
ajmsi-1979	86	20	for	for	ADP
ajmsi-1979	86	21	classifying	classify	VERB
ajmsi-1979	86	22	and	and	CCONJ
ajmsi-1979	86	23	diagnosing	diagnose	VERB
ajmsi-1979	86	24	kinds	kind	NOUN
ajmsi-1979	86	25	of	of	ADP
ajmsi-1979	86	26	anaemia	anaemia	NOUN
ajmsi-1979	86	27	is	be	AUX
ajmsi-1979	86	28	important	important	ADJ
ajmsi-1979	86	29	.	.	PUNCT
ajmsi-1979	87	1	the	the	DET
ajmsi-1979	87	2	study	study	NOUN
ajmsi-1979	87	3	used	use	VERB
ajmsi-1979	87	4	five	five	NUM
ajmsi-1979	87	5	classification	classification	NOUN
ajmsi-1979	87	6	algorithms	algorithm	NOUN
ajmsi-1979	87	7	on	on	ADP
ajmsi-1979	87	8	weka	weka	PROPN
ajmsi-1979	87	9	software	software	PROPN
ajmsi-1979	87	10	to	to	PART
ajmsi-1979	87	11	suggest	suggest	VERB
ajmsi-1979	87	12	an	an	DET
ajmsi-1979	87	13	algorithm	algorithm	NOUN
ajmsi-1979	87	14	that	that	PRON
ajmsi-1979	87	15	provides	provide	VERB
ajmsi-1979	87	16	the	the	DET
ajmsi-1979	87	17	lowest	low	ADJ
ajmsi-1979	87	18	mean	mean	ADJ
ajmsi-1979	87	19	absolute	absolute	ADJ
ajmsi-1979	87	20	error	error	NOUN
ajmsi-1979	87	21	and	and	CCONJ
ajmsi-1979	87	22	highest	high	ADJ
ajmsi-1979	87	23	accuracy	accuracy	NOUN
ajmsi-1979	87	24	.	.	PUNCT
ajmsi-1979	88	1	results	result	NOUN
ajmsi-1979	88	2	of	of	ADP
ajmsi-1979	88	3	the	the	DET
ajmsi-1979	88	4	research	research	NOUN
ajmsi-1979	88	5	indicated	indicate	VERB
ajmsi-1979	88	6	that	that	SCONJ
ajmsi-1979	88	7	combining	combine	VERB
ajmsi-1979	88	8	naïve	naïve	ADJ
ajmsi-1979	88	9	bayes	baye	NOUN
ajmsi-1979	88	10	,	,	PUNCT
ajmsi-1979	88	11	ibk	ibk	ADJ
ajmsi-1979	88	12	and	and	CCONJ
ajmsi-1979	88	13	j48	j48	ADJ
ajmsi-1979	88	14	algorithms	algorithm	NOUN
ajmsi-1979	88	15	using	use	VERB
ajmsi-1979	88	16	a	a	DET
ajmsi-1979	88	17	voting	voting	NOUN
ajmsi-1979	88	18	algorithm	algorithm	NOUN
ajmsi-1979	88	19	with	with	ADP
ajmsi-1979	88	20	all	all	DET
ajmsi-1979	88	21	the	the	DET
ajmsi-1979	88	22	features	feature	NOUN
ajmsi-1979	88	23	provided	provide	VERB
ajmsi-1979	88	24	the	the	DET
ajmsi-1979	88	25	highest	high	ADJ
ajmsi-1979	88	26	accuracy	accuracy	NOUN
ajmsi-1979	88	27	of	of	ADP
ajmsi-1979	88	28	96.343	96.343	NUM
ajmsi-1979	88	29	%	%	NOUN
ajmsi-1979	88	30	and	and	CCONJ
ajmsi-1979	88	31	96.2169	96.2169	NUM
ajmsi-1979	88	32	%	%	NOUN
ajmsi-1979	88	33	(	(	PUNCT
ajmsi-1979	88	34	hasani	hasani	PROPN
ajmsi-1979	88	35	&	&	CCONJ
ajmsi-1979	88	36	hanani	hanani	NOUN
ajmsi-1979	88	37	,	,	PUNCT
ajmsi-1979	88	38	2017	2017	NUM
ajmsi-1979	88	39	)	)	PUNCT
ajmsi-1979	88	40	.	.	PUNCT
ajmsi-1979	89	1	egejuru	egejuru	PROPN
ajmsi-1979	89	2	et	et	PROPN
ajmsi-1979	89	3	al	al	PROPN
ajmsi-1979	89	4	.	.	PROPN
ajmsi-1979	90	1	(	(	PUNCT
ajmsi-1979	90	2	2017	2017	NUM
ajmsi-1979	90	3	)	)	PUNCT
ajmsi-1979	90	4	predicted	predict	VERB
ajmsi-1979	90	5	the	the	DET
ajmsi-1979	90	6	risk	risk	NOUN
ajmsi-1979	90	7	of	of	ADP
ajmsi-1979	90	8	thalassemia	thalassemia	NOUN
ajmsi-1979	90	9	in	in	ADP
ajmsi-1979	90	10	different	different	ADJ
ajmsi-1979	90	11	age	age	NOUN
ajmsi-1979	90	12	groups	group	NOUN
ajmsi-1979	90	13	,	,	PUNCT
ajmsi-1979	90	14	and	and	CCONJ
ajmsi-1979	90	15	knowledge	knowledge	NOUN
ajmsi-1979	90	16	regarding	regard	VERB
ajmsi-1979	90	17	the	the	DET
ajmsi-1979	90	18	risk	risk	NOUN
ajmsi-1979	90	19	factors	factor	NOUN
ajmsi-1979	90	20	was	be	AUX
ajmsi-1979	90	21	collected	collect	VERB
ajmsi-1979	90	22	by	by	ADP
ajmsi-1979	90	23	carrying	carry	VERB
ajmsi-1979	90	24	out	out	ADP
ajmsi-1979	90	25	a	a	DET
ajmsi-1979	90	26	structural	structural	ADJ
ajmsi-1979	90	27	interview	interview	NOUN
ajmsi-1979	90	28	with	with	ADP
ajmsi-1979	90	29	experienced	experienced	ADJ
ajmsi-1979	90	30	medical	medical	ADJ
ajmsi-1979	90	31	personnel	personnel	NOUN
ajmsi-1979	90	32	,	,	PUNCT
ajmsi-1979	90	33	and	and	CCONJ
ajmsi-1979	90	34	a	a	DET
ajmsi-1979	90	35	questionnaire	questionnaire	NOUN
ajmsi-1979	90	36	was	be	AUX
ajmsi-1979	90	37	used	use	VERB
ajmsi-1979	90	38	to	to	PART
ajmsi-1979	90	39	collect	collect	VERB
ajmsi-1979	90	40	data	datum	NOUN
ajmsi-1979	90	41	regarding	regard	VERB
ajmsi-1979	90	42	the	the	DET
ajmsi-1979	90	43	related	related	ADJ
ajmsi-1979	90	44	parameters	parameter	NOUN
ajmsi-1979	90	45	.	.	PUNCT
ajmsi-1979	91	1	the	the	DET
ajmsi-1979	91	2	environment	environment	NOUN
ajmsi-1979	91	3	used	use	VERB
ajmsi-1979	91	4	for	for	ADP
ajmsi-1979	91	5	applying	apply	VERB
ajmsi-1979	91	6	supervised	supervised	ADJ
ajmsi-1979	91	7	machine	machine	NOUN
ajmsi-1979	91	8	learning	learning	NOUN
ajmsi-1979	91	9	algorithms	algorithm	NOUN
ajmsi-1979	91	10	was	be	AUX
ajmsi-1979	91	11	weka	weka	PROPN
ajmsi-1979	91	12	,	,	PUNCT
ajmsi-1979	91	13	and	and	CCONJ
ajmsi-1979	91	14	the	the	DET
ajmsi-1979	91	15	predictive	predictive	ADJ
ajmsi-1979	91	16	model	model	NOUN
ajmsi-1979	91	17	was	be	AUX
ajmsi-1979	91	18	validated	validate	VERB
ajmsi-1979	91	19	for	for	ADP
ajmsi-1979	91	20	diagnosing	diagnose	VERB
ajmsi-1979	91	21	thalassemia	thalassemia	NOUN
ajmsi-1979	91	22	.	.	PUNCT
ajmsi-1979	92	1	data	datum	NOUN
ajmsi-1979	92	2	was	be	AUX
ajmsi-1979	92	3	collected	collect	VERB
ajmsi-1979	92	4	from	from	ADP
ajmsi-1979	92	5	51	51	NUM
ajmsi-1979	92	6	patients	patient	NOUN
ajmsi-1979	92	7	,	,	PUNCT
ajmsi-1979	92	8	and	and	CCONJ
ajmsi-1979	92	9	dataset	dataset	NOUN
ajmsi-1979	92	10	parameters	parameter	NOUN
ajmsi-1979	92	11	included	include	VERB
ajmsi-1979	92	12	demographics	demographic	NOUN
ajmsi-1979	92	13	and	and	CCONJ
ajmsi-1979	92	14	clinical	clinical	ADJ
ajmsi-1979	92	15	variables	variable	NOUN
ajmsi-1979	92	16	.	.	PUNCT
ajmsi-1979	93	1	age	age	NOUN
ajmsi-1979	93	2	,	,	PUNCT
ajmsi-1979	93	3	gender	gender	NOUN
ajmsi-1979	93	4	,	,	PUNCT
ajmsi-1979	93	5	marital	marital	ADJ
ajmsi-1979	93	6	status	status	NOUN
ajmsi-1979	93	7	,	,	PUNCT
ajmsi-1979	93	8	social	social	ADJ
ajmsi-1979	93	9	class	class	NOUN
ajmsi-1979	93	10	,	,	PUNCT
ajmsi-1979	93	11	and	and	CCONJ
ajmsi-1979	93	12	ethnicity	ethnicity	NOUN
ajmsi-1979	93	13	were	be	AUX
ajmsi-1979	93	14	demographic	demographic	ADJ
ajmsi-1979	93	15	variables	variable	NOUN
ajmsi-1979	93	16	,	,	PUNCT
ajmsi-1979	93	17	whereas	whereas	SCONJ
ajmsi-1979	93	18	spleen	spleen	NOUN
ajmsi-1979	93	19	enlargement	enlargement	NOUN
ajmsi-1979	93	20	,	,	PUNCT
ajmsi-1979	93	21	urine	urine	NOUN
ajmsi-1979	93	22	colour	colour	NOUN
ajmsi-1979	93	23	changes	change	NOUN
ajmsi-1979	93	24	,	,	PUNCT
ajmsi-1979	93	25	family	family	NOUN
ajmsi-1979	93	26	history	history	NOUN
ajmsi-1979	93	27	,	,	PUNCT
ajmsi-1979	93	28	diabetes	diabetes	NOUN
ajmsi-1979	93	29	and	and	CCONJ
ajmsi-1979	93	30	parent	parent	NOUN
ajmsi-1979	93	31	carriers	carrier	NOUN
ajmsi-1979	93	32	were	be	AUX
ajmsi-1979	93	33	clinical	clinical	ADJ
ajmsi-1979	93	34	variables	variable	NOUN
ajmsi-1979	93	35	.	.	PUNCT
ajmsi-1979	94	1	results	result	NOUN
ajmsi-1979	94	2	showed	show	VERB
ajmsi-1979	94	3	that	that	SCONJ
ajmsi-1979	94	4	the	the	DET
ajmsi-1979	94	5	distribution	distribution	NOUN
ajmsi-1979	94	6	of	of	ADP
ajmsi-1979	94	7	risk	risk	NOUN
ajmsi-1979	94	8	of	of	ADP
ajmsi-1979	94	9	thalassemia	thalassemia	NOUN
ajmsi-1979	94	10	was	be	AUX
ajmsi-1979	94	11	31	31	NUM
ajmsi-1979	94	12	%	%	NOUN
ajmsi-1979	94	13	high	high	ADJ
ajmsi-1979	94	14	cases	case	NOUN
ajmsi-1979	94	15	,	,	PUNCT
ajmsi-1979	94	16	16	16	NUM
ajmsi-1979	94	17	%	%	NOUN
ajmsi-1979	94	18	moderate	moderate	ADJ
ajmsi-1979	94	19	cases	case	NOUN
ajmsi-1979	94	20	,	,	PUNCT
ajmsi-1979	94	21	10	10	NUM
ajmsi-1979	94	22	%	%	NOUN
ajmsi-1979	94	23	low	low	ADJ
ajmsi-1979	94	24	cases	case	NOUN
ajmsi-1979	94	25	and	and	CCONJ
ajmsi-1979	94	26	43	43	NUM
ajmsi-1979	94	27	%	%	NOUN
ajmsi-1979	94	28	no	no	DET
ajmsi-1979	94	29	cases	case	NOUN
ajmsi-1979	94	30	.	.	PUNCT
ajmsi-1979	95	1	it	it	PRON
ajmsi-1979	95	2	was	be	AUX
ajmsi-1979	95	3	concluded	conclude	VERB
ajmsi-1979	95	4	in	in	ADP
ajmsi-1979	95	5	this	this	DET
ajmsi-1979	95	6	study	study	NOUN
ajmsi-1979	95	7	that	that	SCONJ
ajmsi-1979	95	8	for	for	ADP
ajmsi-1979	95	9	the	the	DET
ajmsi-1979	95	10	prediction	prediction	NOUN
ajmsi-1979	95	11	of	of	ADP
ajmsi-1979	95	12	thalassemia	thalassemia	NOUN
ajmsi-1979	95	13	,	,	PUNCT
ajmsi-1979	95	14	multilayer	multilayer	ADJ
ajmsi-1979	95	15	perceptron	perceptron	PROPN
ajmsi-1979	95	16	will	will	AUX
ajmsi-1979	95	17	improve	improve	VERB
ajmsi-1979	95	18	the	the	DET
ajmsi-1979	95	19	process	process	NOUN
ajmsi-1979	95	20	of	of	ADP
ajmsi-1979	95	21	decision	decision	NOUN
ajmsi-1979	95	22	-	-	PUNCT
ajmsi-1979	95	23	making	making	NOUN
ajmsi-1979	95	24	within	within	ADP
ajmsi-1979	95	25	the	the	DET
ajmsi-1979	95	26	healthcare	healthcare	NOUN
ajmsi-1979	95	27	sector	sector	NOUN
ajmsi-1979	95	28	regarding	regard	VERB
ajmsi-1979	95	29	thalassemia	thalassemia	NOUN
ajmsi-1979	95	30	diagnosis	diagnosis	NOUN
ajmsi-1979	95	31	(	(	PUNCT
ajmsi-1979	95	32	egejuru	egejuru	PROPN
ajmsi-1979	95	33	et	et	PROPN
ajmsi-1979	95	34	al	al	PROPN
ajmsi-1979	95	35	.	.	PROPN
ajmsi-1979	95	36	,	,	PUNCT
ajmsi-1979	95	37	2019	2019	NUM
ajmsi-1979	95	38	)	)	PUNCT
ajmsi-1979	95	39	.	.	PUNCT
ajmsi-1979	96	1	materials	material	NOUN
ajmsi-1979	96	2	&	&	CCONJ
ajmsi-1979	96	3	methods	method	NOUN
ajmsi-1979	96	4	dataset	dataset	VERB
ajmsi-1979	96	5	and	and	CCONJ
ajmsi-1979	96	6	pre	pre	ADJ
ajmsi-1979	96	7	-	-	ADJ
ajmsi-1979	96	8	processing	processing	ADJ
ajmsi-1979	96	9	data	datum	NOUN
ajmsi-1979	96	10	mining	mining	NOUN
ajmsi-1979	96	11	also	also	ADV
ajmsi-1979	96	12	termed	term	VERB
ajmsi-1979	96	13	knowledge	knowledge	NOUN
ajmsi-1979	96	14	discovery	discovery	NOUN
ajmsi-1979	96	15	in	in	ADP
ajmsi-1979	96	16	databases	database	NOUN
ajmsi-1979	96	17	,	,	PUNCT
ajmsi-1979	96	18	is	be	AUX
ajmsi-1979	96	19	a	a	DET
ajmsi-1979	96	20	useful	useful	ADJ
ajmsi-1979	96	21	tool	tool	NOUN
ajmsi-1979	96	22	for	for	ADP
ajmsi-1979	96	23	extracting	extract	VERB
ajmsi-1979	96	24	knowledge	knowledge	NOUN
ajmsi-1979	96	25	containing	contain	VERB
ajmsi-1979	96	26	the	the	DET
ajmsi-1979	96	27	stages	stage	NOUN
ajmsi-1979	96	28	of	of	ADP
ajmsi-1979	96	29	data	datum	NOUN
ajmsi-1979	96	30	pre	pre	ADJ
ajmsi-1979	96	31	-	-	ADJ
ajmsi-1979	96	32	processing	processing	ADJ
ajmsi-1979	96	33	,	,	PUNCT
ajmsi-1979	96	34	pattern	pattern	NOUN
ajmsi-1979	96	35	recognition	recognition	NOUN
ajmsi-1979	96	36	and	and	CCONJ
ajmsi-1979	96	37	classification	classification	NOUN
ajmsi-1979	96	38	(	(	PUNCT
ajmsi-1979	96	39	singhal	singhal	PROPN
ajmsi-1979	96	40	&	&	CCONJ
ajmsi-1979	96	41	jena	jena	PROPN
ajmsi-1979	96	42	,	,	PUNCT
ajmsi-1979	96	43	2013	2013	NUM
ajmsi-1979	96	44	)	)	PUNCT
ajmsi-1979	96	45	.	.	PUNCT
ajmsi-1979	97	1	data	datum	NOUN
ajmsi-1979	97	2	pre	pre	VERB
ajmsi-1979	97	3	-	-	ADJ
ajmsi-1979	97	4	processing	processing	NOUN
ajmsi-1979	97	5	is	be	AUX
ajmsi-1979	97	6	about	about	ADP
ajmsi-1979	97	7	filtering	filter	VERB
ajmsi-1979	97	8	the	the	DET
ajmsi-1979	97	9	data	datum	NOUN
ajmsi-1979	97	10	by	by	ADP
ajmsi-1979	97	11	removing	remove	VERB
ajmsi-1979	97	12	the	the	DET
ajmsi-1979	97	13	no	no	DET
ajmsi-1979	97	14	-	-	PUNCT
ajmsi-1979	97	15	interest	interest	NOUN
ajmsi-1979	97	16	attributes	attribute	NOUN
ajmsi-1979	97	17	and	and	CCONJ
ajmsi-1979	97	18	reducing	reduce	VERB
ajmsi-1979	97	19	noise	noise	NOUN
ajmsi-1979	97	20	or	or	CCONJ
ajmsi-1979	97	21	inconsistencies	inconsistency	NOUN
ajmsi-1979	97	22	such	such	ADJ
ajmsi-1979	97	23	as	as	ADP
ajmsi-1979	97	24	missing	miss	VERB
ajmsi-1979	97	25	values	value	NOUN
ajmsi-1979	97	26	or	or	CCONJ
ajmsi-1979	97	27	outliers	outlier	NOUN
ajmsi-1979	97	28	(	(	PUNCT
ajmsi-1979	97	29	sultana	sultana	NOUN
ajmsi-1979	97	30	et	et	PROPN
ajmsi-1979	97	31	al	al	PROPN
ajmsi-1979	97	32	.	.	PROPN
ajmsi-1979	97	33	,	,	PUNCT
ajmsi-1979	97	34	2016	2016	NUM
ajmsi-1979	97	35	)	)	PUNCT
ajmsi-1979	97	36	.	.	PUNCT
ajmsi-1979	98	1	the	the	DET
ajmsi-1979	98	2	stages	stage	NOUN
ajmsi-1979	98	3	of	of	ADP
ajmsi-1979	98	4	pre	pre	ADJ
ajmsi-1979	98	5	-	-	ADJ
ajmsi-1979	98	6	processing	processing	NOUN
ajmsi-1979	98	7	of	of	ADP
ajmsi-1979	98	8	data	datum	NOUN
ajmsi-1979	98	9	utilised	utilise	VERB
ajmsi-1979	98	10	in	in	ADP
ajmsi-1979	98	11	this	this	DET
ajmsi-1979	98	12	research	research	NOUN
ajmsi-1979	98	13	are	be	AUX
ajmsi-1979	98	14	shown	show	VERB
ajmsi-1979	98	15	in	in	ADP
ajmsi-1979	98	16	figure	figure	NOUN
ajmsi-1979	98	17	1	1	NUM
ajmsi-1979	98	18	below	below	ADV
ajmsi-1979	98	19	.	.	PUNCT
ajmsi-1979	99	1	figure	figure	VERB
ajmsi-1979	99	2	1	1	NUM
ajmsi-1979	99	3	:	:	PUNCT
ajmsi-1979	99	4	flowchart	flowchart	NOUN
ajmsi-1979	99	5	of	of	ADP
ajmsi-1979	99	6	data	datum	NOUN
ajmsi-1979	99	7	pre	pre	ADJ
ajmsi-1979	99	8	-	-	ADJ
ajmsi-1979	99	9	processing	processing	ADJ
ajmsi-1979	99	10	stages	stage	NOUN
ajmsi-1979	99	11	the	the	DET
ajmsi-1979	99	12	pre	pre	NOUN
ajmsi-1979	99	13	-	-	NOUN
ajmsi-1979	99	14	processing	processing	NOUN
ajmsi-1979	99	15	of	of	ADP
ajmsi-1979	99	16	data	datum	NOUN
ajmsi-1979	99	17	provides	provide	VERB
ajmsi-1979	99	18	data	datum	NOUN
ajmsi-1979	99	19	quality	quality	NOUN
ajmsi-1979	99	20	with	with	ADP
ajmsi-1979	99	21	high	high	ADJ
ajmsi-1979	99	22	accuracy	accuracy	NOUN
ajmsi-1979	99	23	,	,	PUNCT
ajmsi-1979	99	24	completeness	completeness	NOUN
ajmsi-1979	99	25	,	,	PUNCT
ajmsi-1979	99	26	consistency	consistency	NOUN
ajmsi-1979	99	27	,	,	PUNCT
ajmsi-1979	99	28	interpretability	interpretability	NOUN
ajmsi-1979	99	29	and	and	CCONJ
ajmsi-1979	99	30	timeliness	timeliness	NOUN
ajmsi-1979	99	31	(	(	PUNCT
ajmsi-1979	99	32	singhal	singhal	PROPN
ajmsi-1979	99	33	&	&	CCONJ
ajmsi-1979	99	34	jena	jena	PROPN
ajmsi-1979	99	35	,	,	PUNCT
ajmsi-1979	99	36	2013	2013	NUM
ajmsi-1979	99	37	)	)	PUNCT
ajmsi-1979	99	38	.	.	PUNCT
ajmsi-1979	100	1	as	as	SCONJ
ajmsi-1979	100	2	shown	show	VERB
ajmsi-1979	100	3	in	in	ADP
ajmsi-1979	100	4	figure	figure	NOUN
ajmsi-1979	100	5	1	1	NUM
ajmsi-1979	100	6	,	,	PUNCT
ajmsi-1979	100	7	data	datum	NOUN
ajmsi-1979	100	8	cleaning	cleaning	NOUN
ajmsi-1979	100	9	is	be	AUX
ajmsi-1979	100	10	the	the	DET
ajmsi-1979	100	11	stage	stage	NOUN
ajmsi-1979	100	12	to	to	PART
ajmsi-1979	100	13	check	check	VERB
ajmsi-1979	100	14	inconsistency	inconsistency	NOUN
ajmsi-1979	100	15	and	and	CCONJ
ajmsi-1979	100	16	eliminate	eliminate	VERB
ajmsi-1979	100	17	incorrect	incorrect	ADJ
ajmsi-1979	100	18	values	value	NOUN
ajmsi-1979	100	19	,	,	PUNCT
ajmsi-1979	100	20	and	and	CCONJ
ajmsi-1979	100	21	data	datum	NOUN
ajmsi-1979	100	22	integration	integration	NOUN
ajmsi-1979	100	23	includes	include	VERB
ajmsi-1979	100	24	combining	combine	VERB
ajmsi-1979	100	25	data	datum	NOUN
ajmsi-1979	100	26	from	from	ADP
ajmsi-1979	100	27	all	all	DET
ajmsi-1979	100	28	databases	database	NOUN
ajmsi-1979	100	29	,	,	PUNCT
ajmsi-1979	100	30	data	datum	NOUN
ajmsi-1979	100	31	reduction	reduction	NOUN
ajmsi-1979	100	32	decreases	decrease	VERB
ajmsi-1979	100	33	the	the	DET
ajmsi-1979	100	34	volume	volume	NOUN
ajmsi-1979	100	35	of	of	ADP
ajmsi-1979	100	36	unnecessary	unnecessary	ADJ
ajmsi-1979	100	37	data	datum	NOUN
ajmsi-1979	100	38	and	and	CCONJ
ajmsi-1979	100	39	data	datum	NOUN
ajmsi-1979	100	40	transformation	transformation	NOUN
ajmsi-1979	100	41	is	be	AUX
ajmsi-1979	100	42	converting	convert	VERB
ajmsi-1979	100	43	into	into	ADP
ajmsi-1979	100	44	the	the	DET
ajmsi-1979	100	45	format	format	NOUN
ajmsi-1979	100	46	supported	support	VERB
ajmsi-1979	100	47	by	by	ADP
ajmsi-1979	100	48	the	the	DET
ajmsi-1979	100	49	software	software	NOUN
ajmsi-1979	100	50	used	use	VERB
ajmsi-1979	100	51	(	(	PUNCT
ajmsi-1979	100	52	sharma	sharma	PROPN
ajmsi-1979	100	53	et	et	PROPN
ajmsi-1979	100	54	al	al	PROPN
ajmsi-1979	100	55	.	.	PROPN
ajmsi-1979	100	56	,	,	PUNCT
ajmsi-1979	100	57	2012	2012	NUM
ajmsi-1979	100	58	;	;	PUNCT
ajmsi-1979	100	59	singhal	singhal	PROPN
ajmsi-1979	100	60	&	&	CCONJ
ajmsi-1979	100	61	jena	jena	PROPN
ajmsi-1979	100	62	,	,	PUNCT
ajmsi-1979	100	63	2013	2013	NUM
ajmsi-1979	100	64	)	)	PUNCT
ajmsi-1979	100	65	.	.	PUNCT
ajmsi-1979	101	1	in	in	ADP
ajmsi-1979	101	2	the	the	DET
ajmsi-1979	101	3	context	context	NOUN
ajmsi-1979	101	4	of	of	ADP
ajmsi-1979	101	5	this	this	DET
ajmsi-1979	101	6	research	research	NOUN
ajmsi-1979	101	7	,	,	PUNCT
ajmsi-1979	101	8	diagnosis	diagnosis	NOUN
ajmsi-1979	101	9	of	of	ADP
ajmsi-1979	101	10	thalassemia	thalassemia	NOUN
ajmsi-1979	101	11	was	be	AUX
ajmsi-1979	101	12	conducted	conduct	VERB
ajmsi-1979	101	13	by	by	ADP
ajmsi-1979	101	14	collecting	collect	VERB
ajmsi-1979	101	15	data	datum	NOUN
ajmsi-1979	101	16	from	from	ADP
ajmsi-1979	101	17	cbc	cbc	PROPN
ajmsi-1979	101	18	test	test	NOUN
ajmsi-1979	101	19	reports	report	NOUN
ajmsi-1979	101	20	from	from	ADP
ajmsi-1979	101	21	the	the	DET
ajmsi-1979	101	22	national	national	PROPN
ajmsi-1979	101	23	institute	institute	PROPN
ajmsi-1979	101	24	of	of	ADP
ajmsi-1979	101	25	blood	blood	NOUN
ajmsi-1979	101	26	diseases	disease	NOUN
ajmsi-1979	101	27	(	(	PUNCT
ajmsi-1979	101	28	nibd	nibd	NOUN
ajmsi-1979	101	29	)	)	PUNCT
ajmsi-1979	101	30	karachi	karachi	PROPN
ajmsi-1979	101	31	.	.	PUNCT
ajmsi-1979	102	1	cbc	cbc	PROPN
ajmsi-1979	102	2	(	(	PUNCT
ajmsi-1979	102	3	complete	complete	ADJ
ajmsi-1979	102	4	blood	blood	NOUN
ajmsi-1979	102	5	count	count	NOUN
ajmsi-1979	102	6	)	)	PUNCT
ajmsi-1979	102	7	test	test	NOUN
ajmsi-1979	102	8	is	be	AUX
ajmsi-1979	102	9	commonly	commonly	ADV
ajmsi-1979	102	10	ordered	order	VERB
ajmsi-1979	102	11	as	as	ADP
ajmsi-1979	102	12	a	a	DET
ajmsi-1979	102	13	simple	simple	ADJ
ajmsi-1979	102	14	blood	blood	NOUN
ajmsi-1979	102	15	test	test	NOUN
ajmsi-1979	102	16	for	for	ADP
ajmsi-1979	102	17	a	a	DET
ajmsi-1979	102	18	routine	routine	ADJ
ajmsi-1979	102	19	medical	medical	ADJ
ajmsi-1979	102	20	assessment	assessment	NOUN
ajmsi-1979	102	21	(	(	PUNCT
ajmsi-1979	102	22	ogasawara	ogasawara	NOUN
ajmsi-1979	102	23	et	et	PROPN
ajmsi-1979	102	24	al	al	PROPN
ajmsi-1979	102	25	.	.	PROPN
ajmsi-1979	102	26	,	,	PUNCT
ajmsi-1979	102	27	2019	2019	NUM
ajmsi-1979	102	28	)	)	PUNCT
ajmsi-1979	102	29	.	.	PUNCT
ajmsi-1979	103	1	the	the	DET
ajmsi-1979	103	2	attributes	attribute	NOUN
ajmsi-1979	103	3	shown	show	VERB
ajmsi-1979	103	4	in	in	ADP
ajmsi-1979	103	5	table	table	NOUN
ajmsi-1979	103	6	1	1	NUM
ajmsi-1979	103	7	contain	contain	VERB
ajmsi-1979	103	8	all	all	DET
ajmsi-1979	103	9	the	the	DET
ajmsi-1979	103	10	essential	essential	ADJ
ajmsi-1979	103	11	parameters	parameter	NOUN
ajmsi-1979	103	12	of	of	ADP
ajmsi-1979	103	13	cbc	cbc	NOUN
ajmsi-1979	103	14	tests	test	NOUN
ajmsi-1979	103	15	,	,	PUNCT
ajmsi-1979	103	16	blood	blood	NOUN
ajmsi-1979	103	17	components	component	NOUN
ajmsi-1979	103	18	and	and	CCONJ
ajmsi-1979	103	19	their	their	PRON
ajmsi-1979	103	20	reference	reference	NOUN
ajmsi-1979	103	21	range	range	NOUN
ajmsi-1979	103	22	.	.	PUNCT
ajmsi-1979	104	1	the	the	DET
ajmsi-1979	104	2	number	number	NOUN
ajmsi-1979	104	3	of	of	ADP
ajmsi-1979	104	4	rbcs	rbc	NOUN
ajmsi-1979	104	5	,	,	PUNCT
ajmsi-1979	104	6	the	the	DET
ajmsi-1979	104	7	total	total	ADJ
ajmsi-1979	104	8	amount	amount	NOUN
ajmsi-1979	104	9	of	of	ADP
ajmsi-1979	104	10	haemoglobin	haemoglobin	NOUN
ajmsi-1979	104	11	in	in	ADP
ajmsi-1979	104	12	the	the	DET
ajmsi-1979	104	13	blood	blood	NOUN
ajmsi-1979	104	14	,	,	PUNCT
ajmsi-1979	104	15	the	the	DET
ajmsi-1979	104	16	average	average	ADJ
ajmsi-1979	104	17	size	size	NOUN
ajmsi-1979	104	18	of	of	ADP
ajmsi-1979	104	19	an	an	DET
ajmsi-1979	104	20	rbc	rbc	PROPN
ajmsi-1979	104	21	,	,	PUNCT
ajmsi-1979	104	22	i.e.	i.e.	X
ajmsi-1979	104	23	mcv	mcv	PROPN
ajmsi-1979	104	24	,	,	PUNCT
ajmsi-1979	104	25	and	and	CCONJ
ajmsi-1979	104	26	the	the	DET
ajmsi-1979	104	27	amount	amount	NOUN
ajmsi-1979	104	28	of	of	ADP
ajmsi-1979	104	29	space	space	NOUN
ajmsi-1979	104	30	taken	take	VERB
ajmsi-1979	104	31	by	by	ADP
ajmsi-1979	104	32	an	an	DET
ajmsi-1979	104	33	rbc	rbc	PROPN
ajmsi-1979	104	34	in	in	ADP
ajmsi-1979	104	35	the	the	DET
ajmsi-1979	104	36	blood	blood	NOUN
ajmsi-1979	104	37	,	,	PUNCT
ajmsi-1979	104	38	i.e.	i.e.	X
ajmsi-1979	104	39	haematocrit	haematocrit	PROPN
ajmsi-1979	104	40	(	(	PUNCT
ajmsi-1979	104	41	mekić	mekić	NOUN
ajmsi-1979	104	42	et	et	PROPN
ajmsi-1979	104	43	al	al	PROPN
ajmsi-1979	104	44	.	.	PROPN
ajmsi-1979	104	45	,	,	PUNCT
ajmsi-1979	104	46	2018	2018	NUM
ajmsi-1979	104	47	;	;	PUNCT
ajmsi-1979	104	48	yin	yin	PROPN
ajmsi-1979	104	49	et	et	PROPN
ajmsi-1979	104	50	al	al	PROPN
ajmsi-1979	104	51	.	.	PROPN
ajmsi-1979	104	52	,	,	PUNCT
ajmsi-1979	104	53	2020	2020	NUM
ajmsi-1979	104	54	)	)	PUNCT
ajmsi-1979	104	55	.	.	PUNCT
ajmsi-1979	105	1	the	the	DET
ajmsi-1979	105	2	other	other	ADJ
ajmsi-1979	105	3	measurements	measurement	NOUN
ajmsi-1979	105	4	,	,	PUNCT
ajmsi-1979	105	5	i.e.	i.e.	X
ajmsi-1979	105	6	the	the	DET
ajmsi-1979	105	7	concentration	concentration	NOUN
ajmsi-1979	105	8	(	(	PUNCT
ajmsi-1979	105	9	mchc	mchc	NOUN
ajmsi-1979	105	10	)	)	PUNCT
ajmsi-1979	105	11	and	and	CCONJ
ajmsi-1979	105	12	the	the	DET
ajmsi-1979	105	13	amount	amount	NOUN
ajmsi-1979	105	14	(	(	PUNCT
ajmsi-1979	105	15	mch	mch	PROPN
ajmsi-1979	105	16	)	)	PUNCT
ajmsi-1979	105	17	of	of	ADP
ajmsi-1979	105	18	haemoglobin	haemoglobin	PROPN
ajmsi-1979	105	19	,	,	PUNCT
ajmsi-1979	105	20	also	also	ADV
ajmsi-1979	105	21	contain	contain	VERB
ajmsi-1979	105	22	useful	useful	ADJ
ajmsi-1979	105	23	pa	pa	PROPN
ajmsi-1979	105	24	ge	ge	PROPN
ajmsi-1979	105	25	10	10	NUM
ajmsi-1979	105	26	0	0	NUM
ajmsi-1979	105	27	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	105	28	am	be	AUX
ajmsi-1979	105	29	.	.	PUNCT
ajmsi-1979	106	1	j.	j.	PROPN
ajmsi-1979	106	2	med	med	PROPN
ajmsi-1979	106	3	.	.	PUNCT
ajmsi-1979	107	1	sci	sci	PROPN
ajmsi-1979	107	2	.	.	PUNCT
ajmsi-1979	107	3	innov	innov	PROPN
ajmsi-1979	107	4	.	.	PUNCT
ajmsi-1979	108	1	2(2	2(2	NUM
ajmsi-1979	108	2	)	)	PUNCT
ajmsi-1979	108	3	97	97	NUM
ajmsi-1979	108	4	-	-	SYM
ajmsi-1979	108	5	109	109	NUM
ajmsi-1979	108	6	,	,	PUNCT
ajmsi-1979	108	7	2023	2023	NUM
ajmsi-1979	108	8	results	result	NOUN
ajmsi-1979	108	9	of	of	ADP
ajmsi-1979	108	10	normal	normal	ADJ
ajmsi-1979	108	11	persons	person	NOUN
ajmsi-1979	108	12	and	and	CCONJ
ajmsi-1979	108	13	patients	patient	NOUN
ajmsi-1979	108	14	suffering	suffer	VERB
ajmsi-1979	108	15	from	from	ADP
ajmsi-1979	108	16	thalassemia	thalassemia	NOUN
ajmsi-1979	108	17	.	.	PUNCT
ajmsi-1979	109	1	the	the	DET
ajmsi-1979	109	2	dataset	dataset	NOUN
ajmsi-1979	109	3	included	include	VERB
ajmsi-1979	109	4	1	1	NUM
ajmsi-1979	109	5	nominal	nominal	NOUN
ajmsi-1979	109	6	,	,	PUNCT
ajmsi-1979	109	7	whereas	whereas	SCONJ
ajmsi-1979	109	8	5	5	NUM
ajmsi-1979	109	9	numerical	numerical	ADJ
ajmsi-1979	109	10	values	value	NOUN
ajmsi-1979	109	11	and	and	CCONJ
ajmsi-1979	109	12	one	one	NUM
ajmsi-1979	109	13	column	column	NOUN
ajmsi-1979	109	14	presented	present	VERB
ajmsi-1979	109	15	patients	patient	NOUN
ajmsi-1979	109	16	’	'	PUNCT
ajmsi-1979	109	17	status	status	NOUN
ajmsi-1979	109	18	,	,	PUNCT
ajmsi-1979	109	19	i.e.	i.e.	X
ajmsi-1979	109	20	positive	positive	ADJ
ajmsi-1979	109	21	or	or	CCONJ
ajmsi-1979	109	22	negative	negative	ADJ
ajmsi-1979	109	23	.	.	PUNCT
ajmsi-1979	110	1	later	later	ADV
ajmsi-1979	110	2	,	,	PUNCT
ajmsi-1979	110	3	the	the	DET
ajmsi-1979	110	4	dataset	dataset	NOUN
ajmsi-1979	110	5	was	be	AUX
ajmsi-1979	110	6	divided	divide	VERB
ajmsi-1979	110	7	into	into	ADP
ajmsi-1979	110	8	training	training	NOUN
ajmsi-1979	110	9	and	and	CCONJ
ajmsi-1979	110	10	test	test	NOUN
ajmsi-1979	110	11	data	datum	NOUN
ajmsi-1979	110	12	by	by	ADP
ajmsi-1979	110	13	applying	apply	VERB
ajmsi-1979	110	14	class	class	NOUN
ajmsi-1979	110	15	“	"	PUNCT
ajmsi-1979	110	16	resample	resample	NOUN
ajmsi-1979	110	17	,	,	PUNCT
ajmsi-1979	110	18	“	"	PUNCT
ajmsi-1979	110	19	a	a	DET
ajmsi-1979	110	20	supervised	supervised	ADJ
ajmsi-1979	110	21	instance	instance	NOUN
ajmsi-1979	110	22	filter	filter	NOUN
ajmsi-1979	110	23	on	on	ADP
ajmsi-1979	110	24	weka	weka	PROPN
ajmsi-1979	110	25	software	software	PROPN
ajmsi-1979	110	26	used	use	VERB
ajmsi-1979	110	27	to	to	PART
ajmsi-1979	110	28	produce	produce	VERB
ajmsi-1979	110	29	a	a	DET
ajmsi-1979	110	30	random	random	ADJ
ajmsi-1979	110	31	subsample	subsample	NOUN
ajmsi-1979	110	32	of	of	ADP
ajmsi-1979	110	33	a	a	DET
ajmsi-1979	110	34	dataset	dataset	NOUN
ajmsi-1979	110	35	with	with	ADP
ajmsi-1979	110	36	or	or	CCONJ
ajmsi-1979	110	37	without	without	ADP
ajmsi-1979	110	38	replacement	replacement	NOUN
ajmsi-1979	110	39	.	.	PUNCT
ajmsi-1979	111	1	data	datum	NOUN
ajmsi-1979	111	2	analysis	analysis	NOUN
ajmsi-1979	111	3	weka	weka	NOUN
ajmsi-1979	111	4	software	software	VERB
ajmsi-1979	111	5	the	the	DET
ajmsi-1979	111	6	algorithms	algorithm	NOUN
ajmsi-1979	111	7	used	use	VERB
ajmsi-1979	111	8	to	to	PART
ajmsi-1979	111	9	predict	predict	VERB
ajmsi-1979	111	10	and	and	CCONJ
ajmsi-1979	111	11	diagnose	diagnose	NOUN
ajmsi-1979	111	12	thalassemia	thalassemia	NOUN
ajmsi-1979	111	13	were	be	AUX
ajmsi-1979	111	14	applied	apply	VERB
ajmsi-1979	111	15	to	to	ADP
ajmsi-1979	111	16	the	the	DET
ajmsi-1979	111	17	pre	pre	ADJ
ajmsi-1979	111	18	-	-	ADJ
ajmsi-1979	111	19	processed	process	VERB
ajmsi-1979	111	20	dataset	dataset	NOUN
ajmsi-1979	111	21	on	on	ADP
ajmsi-1979	111	22	weka	weka	PROPN
ajmsi-1979	111	23	software	software	PROPN
ajmsi-1979	111	24	.	.	PUNCT
ajmsi-1979	112	1	weka	weka	PROPN
ajmsi-1979	112	2	is	be	AUX
ajmsi-1979	112	3	a	a	DET
ajmsi-1979	112	4	popular	popular	ADJ
ajmsi-1979	112	5	machine	machine	NOUN
ajmsi-1979	112	6	learning	learn	VERB
ajmsi-1979	112	7	software	software	NOUN
ajmsi-1979	112	8	developed	develop	VERB
ajmsi-1979	112	9	at	at	ADP
ajmsi-1979	112	10	the	the	DET
ajmsi-1979	112	11	university	university	NOUN
ajmsi-1979	112	12	of	of	ADP
ajmsi-1979	112	13	waikato	waikato	PROPN
ajmsi-1979	112	14	,	,	PUNCT
ajmsi-1979	112	15	new	new	PROPN
ajmsi-1979	112	16	zealand	zealand	PROPN
ajmsi-1979	112	17	,	,	PUNCT
ajmsi-1979	112	18	containing	contain	VERB
ajmsi-1979	112	19	a	a	DET
ajmsi-1979	112	20	collection	collection	NOUN
ajmsi-1979	112	21	of	of	ADP
ajmsi-1979	112	22	algorithms	algorithm	NOUN
ajmsi-1979	112	23	and	and	CCONJ
ajmsi-1979	112	24	visualization	visualization	NOUN
ajmsi-1979	112	25	table	table	NOUN
ajmsi-1979	112	26	1	1	NUM
ajmsi-1979	112	27	:	:	PUNCT
ajmsi-1979	112	28	cbc	cbc	PROPN
ajmsi-1979	112	29	test	test	NOUN
ajmsi-1979	112	30	parameters	parameter	NOUN
ajmsi-1979	112	31	(	(	PUNCT
ajmsi-1979	112	32	source	source	NOUN
ajmsi-1979	112	33	:	:	PUNCT
ajmsi-1979	112	34	dataset	dataset	ADJ
ajmsi-1979	112	35	)	)	PUNCT
ajmsi-1979	112	36	blood	blood	NOUN
ajmsi-1979	112	37	component	component	NOUN
ajmsi-1979	112	38	abbreviation	abbreviation	NOUN
ajmsi-1979	112	39	reference	reference	NOUN
ajmsi-1979	112	40	range	range	PROPN
ajmsi-1979	112	41	haemoglobin	haemoglobin	PROPN
ajmsi-1979	112	42	*	*	PROPN
ajmsi-1979	112	43	hgb	hgb	PROPN
ajmsi-1979	112	44	male	male	NOUN
ajmsi-1979	112	45	:	:	PUNCT
ajmsi-1979	112	46	13.5	13.5	NUM
ajmsi-1979	112	47	-	-	SYM
ajmsi-1979	112	48	17.5	17.5	NUM
ajmsi-1979	112	49	g	g	NOUN
ajmsi-1979	112	50	/	/	SYM
ajmsi-1979	112	51	dl	dl	NOUN
ajmsi-1979	112	52	female	female	NOUN
ajmsi-1979	112	53	:	:	PUNCT
ajmsi-1979	112	54	12.0	12.0	NUM
ajmsi-1979	112	55	-	-	SYM
ajmsi-1979	112	56	16.0	16.0	NUM
ajmsi-1979	112	57	g	g	NOUN
ajmsi-1979	112	58	/	/	SYM
ajmsi-1979	112	59	dl	dl	PROPN
ajmsi-1979	112	60	hematocrit	hematocrit	PROPN
ajmsi-1979	112	61	*	*	PUNCT
ajmsi-1979	112	62	ht	ht	PROPN
ajmsi-1979	112	63	male	male	NOUN
ajmsi-1979	112	64	:	:	PUNCT
ajmsi-1979	112	65	41%-53	41%-53	NUM
ajmsi-1979	112	66	%	%	NOUN
ajmsi-1979	112	67	female	female	NOUN
ajmsi-1979	112	68	:	:	PUNCT
ajmsi-1979	112	69	36%-46	36%-46	NUM
ajmsi-1979	112	70	%	%	NOUN
ajmsi-1979	112	71	mean	mean	NOUN
ajmsi-1979	112	72	corpuscular	corpuscular	NOUN
ajmsi-1979	112	73	volume	volume	NOUN
ajmsi-1979	112	74	mcv	mcv	PROPN
ajmsi-1979	112	75	80	80	NUM
ajmsi-1979	112	76	-	-	SYM
ajmsi-1979	112	77	100	100	NUM
ajmsi-1979	112	78	μm3	μm3	NUM
ajmsi-1979	112	79	white	white	ADJ
ajmsi-1979	112	80	blood	blood	NOUN
ajmsi-1979	112	81	cells	cell	NOUN
ajmsi-1979	112	82	wbc	wbc	PROPN
ajmsi-1979	112	83	4500	4500	NUM
ajmsi-1979	112	84	-	-	SYM
ajmsi-1979	112	85	11,000	11,000	NUM
ajmsi-1979	112	86	/	/	SYM
ajmsi-1979	112	87	mm3	mm3	ADJ
ajmsi-1979	112	88	red	red	ADJ
ajmsi-1979	112	89	blood	blood	NOUN
ajmsi-1979	112	90	cells	cell	NOUN
ajmsi-1979	112	91	*	*	VERB
ajmsi-1979	112	92	rbc	rbc	PROPN
ajmsi-1979	112	93	male	male	NOUN
ajmsi-1979	112	94	:	:	PUNCT
ajmsi-1979	112	95	4.3	4.3	NUM
ajmsi-1979	112	96	-	-	SYM
ajmsi-1979	112	97	5.9	5.9	NUM
ajmsi-1979	112	98	million	million	NUM
ajmsi-1979	112	99	/	/	SYM
ajmsi-1979	112	100	mm3	mm3	ADJ
ajmsi-1979	112	101	female	female	NOUN
ajmsi-1979	112	102	:	:	PUNCT
ajmsi-1979	112	103	3.5	3.5	NUM
ajmsi-1979	112	104	-	-	SYM
ajmsi-1979	112	105	5.5	5.5	NUM
ajmsi-1979	112	106	million	million	NUM
ajmsi-1979	112	107	/	/	SYM
ajmsi-1979	112	108	mm3	mm3	NOUN
ajmsi-1979	112	109	mean	mean	ADJ
ajmsi-1979	112	110	corpuscular	corpuscular	PROPN
ajmsi-1979	112	111	haemoglobin	haemoglobin	NOUN
ajmsi-1979	112	112	mch	mch	PROPN
ajmsi-1979	112	113	25.4	25.4	NUM
ajmsi-1979	112	114	-	-	PUNCT
ajmsi-1979	112	115	34.6	34.6	NUM
ajmsi-1979	112	116	pg	pg	NOUN
ajmsi-1979	112	117	/	/	SYM
ajmsi-1979	112	118	cell	cell	NOUN
ajmsi-1979	112	119	mean	mean	NOUN
ajmsi-1979	112	120	corpuscular	corpuscular	PROPN
ajmsi-1979	112	121	haemoglobin	haemoglobin	PROPN
ajmsi-1979	112	122	concentration	concentration	NOUN
ajmsi-1979	112	123	mchc	mchc	NOUN
ajmsi-1979	112	124	31%-36	31%-36	NUM
ajmsi-1979	112	125	%	%	NOUN
ajmsi-1979	112	126	hb	hb	NOUN
ajmsi-1979	112	127	/	/	SYM
ajmsi-1979	112	128	cell	cell	NOUN
ajmsi-1979	112	129	red	red	ADJ
ajmsi-1979	112	130	cell	cell	NOUN
ajmsi-1979	112	131	distribution	distribution	NOUN
ajmsi-1979	112	132	width	width	NOUN
ajmsi-1979	112	133	rdw	rdw	ADJ
ajmsi-1979	112	134	male	male	NOUN
ajmsi-1979	112	135	:	:	PUNCT
ajmsi-1979	112	136	11.6	11.6	NUM
ajmsi-1979	112	137	-	-	SYM
ajmsi-1979	112	138	14.6	14.6	NUM
ajmsi-1979	112	139	%	%	NOUN
ajmsi-1979	112	140	female	female	NOUN
ajmsi-1979	112	141	:	:	PUNCT
ajmsi-1979	112	142	12.2	12.2	NUM
ajmsi-1979	112	143	to	to	PART
ajmsi-1979	112	144	16.1	16.1	NUM
ajmsi-1979	112	145	%	%	NOUN
ajmsi-1979	112	146	platelets	platelet	NOUN
ajmsi-1979	112	147	platelets	platelet	VERB
ajmsi-1979	112	148	150,000	150,000	NUM
ajmsi-1979	112	149	-	-	SYM
ajmsi-1979	112	150	400,000	400,000	NUM
ajmsi-1979	112	151	/	/	SYM
ajmsi-1979	112	152	mm3	mm3	NOUN
ajmsi-1979	112	153	information	information	NOUN
ajmsi-1979	112	154	about	about	ADP
ajmsi-1979	112	155	rbcs	rbc	NOUN
ajmsi-1979	112	156	.	.	PUNCT
ajmsi-1979	113	1	these	these	DET
ajmsi-1979	113	2	features	feature	NOUN
ajmsi-1979	113	3	of	of	ADP
ajmsi-1979	113	4	the	the	DET
ajmsi-1979	113	5	cbc	cbc	PROPN
ajmsi-1979	113	6	test	test	NOUN
ajmsi-1979	113	7	can	can	AUX
ajmsi-1979	113	8	also	also	ADV
ajmsi-1979	113	9	be	be	AUX
ajmsi-1979	113	10	explained	explain	VERB
ajmsi-1979	113	11	as	as	SCONJ
ajmsi-1979	113	12	red	red	ADJ
ajmsi-1979	113	13	blood	blood	NOUN
ajmsi-1979	113	14	cells	cell	NOUN
ajmsi-1979	113	15	(	(	PUNCT
ajmsi-1979	113	16	rbcs	rbc	NOUN
ajmsi-1979	113	17	)	)	PUNCT
ajmsi-1979	113	18	carry	carry	VERB
ajmsi-1979	113	19	oxygen	oxygen	NOUN
ajmsi-1979	113	20	,	,	PUNCT
ajmsi-1979	113	21	hemoglobin	hemoglobin	NOUN
ajmsi-1979	113	22	(	(	PUNCT
ajmsi-1979	113	23	hb	hb	X
ajmsi-1979	113	24	)	)	PUNCT
ajmsi-1979	113	25	is	be	AUX
ajmsi-1979	113	26	in	in	ADP
ajmsi-1979	113	27	rbc	rbc	PROPN
ajmsi-1979	113	28	as	as	ADP
ajmsi-1979	113	29	an	an	DET
ajmsi-1979	113	30	oxygen	oxygen	NOUN
ajmsi-1979	113	31	-	-	PUNCT
ajmsi-1979	113	32	carrier	carrier	NOUN
ajmsi-1979	113	33	protein	protein	NOUN
ajmsi-1979	113	34	,	,	PUNCT
ajmsi-1979	113	35	white	white	ADJ
ajmsi-1979	113	36	blood	blood	NOUN
ajmsi-1979	113	37	cells	cell	NOUN
ajmsi-1979	113	38	(	(	PUNCT
ajmsi-1979	113	39	wbc	wbc	PROPN
ajmsi-1979	113	40	)	)	PUNCT
ajmsi-1979	113	41	are	be	AUX
ajmsi-1979	113	42	required	require	VERB
ajmsi-1979	113	43	to	to	PART
ajmsi-1979	113	44	fight	fight	VERB
ajmsi-1979	113	45	infections	infection	NOUN
ajmsi-1979	113	46	in	in	ADP
ajmsi-1979	113	47	the	the	DET
ajmsi-1979	113	48	human	human	ADJ
ajmsi-1979	113	49	body	body	NOUN
ajmsi-1979	113	50	,	,	PUNCT
ajmsi-1979	113	51	and	and	CCONJ
ajmsi-1979	113	52	hematocrit	hematocrit	PROPN
ajmsi-1979	113	53	(	(	PUNCT
ajmsi-1979	113	54	hct	hct	PROPN
ajmsi-1979	113	55	)	)	PUNCT
ajmsi-1979	113	56	represents	represent	VERB
ajmsi-1979	113	57	the	the	DET
ajmsi-1979	113	58	red	red	ADJ
ajmsi-1979	113	59	blood	blood	NOUN
ajmsi-1979	113	60	cells	cell	NOUN
ajmsi-1979	113	61	percentage	percentage	VERB
ajmsi-1979	113	62	into	into	ADP
ajmsi-1979	113	63	the	the	DET
ajmsi-1979	113	64	plasma	plasma	NOUN
ajmsi-1979	113	65	or	or	CCONJ
ajmsi-1979	113	66	fluid	fluid	ADJ
ajmsi-1979	113	67	component	component	NOUN
ajmsi-1979	113	68	in	in	ADP
ajmsi-1979	113	69	platelets	platelet	NOUN
ajmsi-1979	113	70	of	of	ADP
ajmsi-1979	113	71	blood	blood	NOUN
ajmsi-1979	113	72	that	that	PRON
ajmsi-1979	113	73	causes	cause	VERB
ajmsi-1979	113	74	blood	blood	NOUN
ajmsi-1979	113	75	clotting	clotting	NOUN
ajmsi-1979	113	76	(	(	PUNCT
ajmsi-1979	113	77	ogasawara	ogasawara	NOUN
ajmsi-1979	113	78	et	et	PROPN
ajmsi-1979	113	79	al	al	PROPN
ajmsi-1979	113	80	.	.	PROPN
ajmsi-1979	113	81	,	,	PUNCT
ajmsi-1979	113	82	2019	2019	NUM
ajmsi-1979	113	83	;	;	PUNCT
ajmsi-1979	114	1	yin	yin	PROPN
ajmsi-1979	114	2	et	et	PROPN
ajmsi-1979	114	3	al	al	PROPN
ajmsi-1979	114	4	.	.	PROPN
ajmsi-1979	114	5	,	,	PUNCT
ajmsi-1979	114	6	2020	2020	NUM
ajmsi-1979	114	7	)	)	PUNCT
ajmsi-1979	114	8	.	.	PUNCT
ajmsi-1979	115	1	the	the	DET
ajmsi-1979	115	2	test	test	NOUN
ajmsi-1979	115	3	diagnoses	diagnosis	NOUN
ajmsi-1979	115	4	and	and	CCONJ
ajmsi-1979	115	5	monitors	monitor	VERB
ajmsi-1979	115	6	the	the	DET
ajmsi-1979	115	7	different	different	ADJ
ajmsi-1979	115	8	types	type	NOUN
ajmsi-1979	115	9	of	of	ADP
ajmsi-1979	115	10	blood	blood	NOUN
ajmsi-1979	115	11	diseases	disease	NOUN
ajmsi-1979	115	12	(	(	PUNCT
ajmsi-1979	115	13	e.g.	e.g.	ADV
ajmsi-1979	115	14	anemia	anemia	NOUN
ajmsi-1979	115	15	,	,	PUNCT
ajmsi-1979	115	16	thalassemia	thalassemia	NOUN
ajmsi-1979	115	17	,	,	PUNCT
ajmsi-1979	115	18	iron	iron	NOUN
ajmsi-1979	115	19	deficiency	deficiency	NOUN
ajmsi-1979	115	20	)	)	PUNCT
ajmsi-1979	115	21	,	,	PUNCT
ajmsi-1979	115	22	inflammatory	inflammatory	ADJ
ajmsi-1979	115	23	diseases	disease	NOUN
ajmsi-1979	115	24	,	,	PUNCT
ajmsi-1979	115	25	infection	infection	NOUN
ajmsi-1979	115	26	,	,	PUNCT
ajmsi-1979	115	27	and	and	CCONJ
ajmsi-1979	115	28	malignancy	malignancy	NOUN
ajmsi-1979	115	29	(	(	PUNCT
ajmsi-1979	115	30	mekić	mekić	NOUN
ajmsi-1979	115	31	et	et	PROPN
ajmsi-1979	115	32	al	al	PROPN
ajmsi-1979	115	33	.	.	PROPN
ajmsi-1979	115	34	,	,	PUNCT
ajmsi-1979	115	35	2018	2018	NUM
ajmsi-1979	115	36	;	;	PUNCT
ajmsi-1979	115	37	ogasawara	ogasawara	NOUN
ajmsi-1979	115	38	et	et	PROPN
ajmsi-1979	115	39	al	al	PROPN
ajmsi-1979	115	40	.	.	PROPN
ajmsi-1979	115	41	,	,	PUNCT
ajmsi-1979	115	42	2019	2019	NUM
ajmsi-1979	115	43	)	)	PUNCT
ajmsi-1979	115	44	.	.	PUNCT
ajmsi-1979	116	1	there	there	PRON
ajmsi-1979	116	2	are	be	VERB
ajmsi-1979	116	3	many	many	ADJ
ajmsi-1979	116	4	attributes	attribute	NOUN
ajmsi-1979	116	5	in	in	ADP
ajmsi-1979	116	6	the	the	DET
ajmsi-1979	116	7	cbc	cbc	PROPN
ajmsi-1979	116	8	test	test	NOUN
ajmsi-1979	116	9	reports	report	NOUN
ajmsi-1979	116	10	,	,	PUNCT
ajmsi-1979	116	11	but	but	CCONJ
ajmsi-1979	116	12	only	only	ADV
ajmsi-1979	116	13	6	6	NUM
ajmsi-1979	116	14	attributes	attribute	NOUN
ajmsi-1979	116	15	were	be	AUX
ajmsi-1979	116	16	selected	select	VERB
ajmsi-1979	116	17	for	for	ADP
ajmsi-1979	116	18	the	the	DET
ajmsi-1979	116	19	risk	risk	NOUN
ajmsi-1979	116	20	prediction	prediction	NOUN
ajmsi-1979	116	21	of	of	ADP
ajmsi-1979	116	22	thalassemia	thalassemia	NOUN
ajmsi-1979	116	23	via	via	ADP
ajmsi-1979	116	24	weka	weka	PROPN
ajmsi-1979	116	25	software	software	PROPN
ajmsi-1979	116	26	shown	show	VERB
ajmsi-1979	116	27	in	in	ADP
ajmsi-1979	116	28	table	table	NOUN
ajmsi-1979	116	29	2	2	NUM
ajmsi-1979	116	30	.	.	PUNCT
ajmsi-1979	117	1	these	these	DET
ajmsi-1979	117	2	six	six	NUM
ajmsi-1979	117	3	attributes	attribute	NOUN
ajmsi-1979	117	4	include	include	VERB
ajmsi-1979	117	5	gender	gender	NOUN
ajmsi-1979	117	6	,	,	PUNCT
ajmsi-1979	117	7	mcv	mcv	PROPN
ajmsi-1979	117	8	,	,	PUNCT
ajmsi-1979	117	9	hct	hct	PROPN
ajmsi-1979	117	10	,	,	PUNCT
ajmsi-1979	117	11	hgb	hgb	PROPN
ajmsi-1979	117	12	,	,	PUNCT
ajmsi-1979	117	13	mchc	mchc	NOUN
ajmsi-1979	117	14	,	,	PUNCT
ajmsi-1979	117	15	and	and	CCONJ
ajmsi-1979	117	16	rdw	rdw	NOUN
ajmsi-1979	117	17	and	and	CCONJ
ajmsi-1979	117	18	the	the	DET
ajmsi-1979	117	19	ranges	range	NOUN
ajmsi-1979	117	20	considered	consider	VERB
ajmsi-1979	117	21	to	to	PART
ajmsi-1979	117	22	differentiate	differentiate	VERB
ajmsi-1979	117	23	between	between	ADP
ajmsi-1979	117	24	normal	normal	ADJ
ajmsi-1979	117	25	persons	person	NOUN
ajmsi-1979	117	26	and	and	CCONJ
ajmsi-1979	117	27	thalassemia	thalassemia	NOUN
ajmsi-1979	117	28	patients	patient	NOUN
ajmsi-1979	117	29	are	be	AUX
ajmsi-1979	117	30	shown	show	VERB
ajmsi-1979	117	31	in	in	ADP
ajmsi-1979	117	32	table	table	NOUN
ajmsi-1979	117	33	1	1	NUM
ajmsi-1979	117	34	.	.	PUNCT
ajmsi-1979	118	1	furthermore	furthermore	ADV
ajmsi-1979	118	2	,	,	PUNCT
ajmsi-1979	118	3	the	the	DET
ajmsi-1979	118	4	dataset	dataset	NOUN
ajmsi-1979	118	5	was	be	AUX
ajmsi-1979	118	6	transformed	transform	VERB
ajmsi-1979	118	7	into	into	ADP
ajmsi-1979	118	8	csv	csv	NOUN
ajmsi-1979	118	9	and	and	CCONJ
ajmsi-1979	118	10	arff	arff	PROPN
ajmsi-1979	118	11	file	file	NOUN
ajmsi-1979	118	12	format	format	NOUN
ajmsi-1979	118	13	as	as	SCONJ
ajmsi-1979	118	14	supported	support	VERB
ajmsi-1979	118	15	by	by	ADP
ajmsi-1979	118	16	weka	weka	PROPN
ajmsi-1979	118	17	software	software	PROPN
ajmsi-1979	118	18	.	.	PUNCT
ajmsi-1979	119	1	the	the	DET
ajmsi-1979	119	2	data	datum	NOUN
ajmsi-1979	119	3	of	of	ADP
ajmsi-1979	119	4	301	301	NUM
ajmsi-1979	119	5	patients	patient	NOUN
ajmsi-1979	119	6	was	be	AUX
ajmsi-1979	119	7	provided	provide	VERB
ajmsi-1979	119	8	by	by	ADP
ajmsi-1979	119	9	nibd	nibd	NOUN
ajmsi-1979	119	10	,	,	PUNCT
ajmsi-1979	119	11	containing	contain	VERB
ajmsi-1979	119	12	the	the	DET
ajmsi-1979	119	13	cbc	cbc	PROPN
ajmsi-1979	119	14	test	test	NOUN
ajmsi-1979	119	15	table	table	NOUN
ajmsi-1979	119	16	2	2	NUM
ajmsi-1979	119	17	:	:	PUNCT
ajmsi-1979	119	18	dataset	dataset	VERB
ajmsi-1979	119	19	attributes	attribute	NOUN
ajmsi-1979	119	20	used	use	VERB
ajmsi-1979	119	21	for	for	ADP
ajmsi-1979	119	22	classification	classification	NOUN
ajmsi-1979	119	23	attribute	attribute	NOUN
ajmsi-1979	119	24	attribute	attribute	NOUN
ajmsi-1979	119	25	value	value	NOUN
ajmsi-1979	119	26	attribute	attribute	NOUN
ajmsi-1979	119	27	category	category	NOUN
ajmsi-1979	119	28	gender	gender	NOUN
ajmsi-1979	119	29	male	male	NOUN
ajmsi-1979	119	30	1	1	NUM
ajmsi-1979	119	31	female	female	NOUN
ajmsi-1979	119	32	2	2	NUM
ajmsi-1979	119	33	mcv	mcv	NOUN
ajmsi-1979	119	34	<	<	X
ajmsi-1979	119	35	80	80	NUM
ajmsi-1979	119	36	microcytic	microcytic	ADJ
ajmsi-1979	119	37	80	80	NUM
ajmsi-1979	119	38	-	-	SYM
ajmsi-1979	119	39	100	100	NUM
ajmsi-1979	119	40	normal	normal	ADJ
ajmsi-1979	119	41	hgb	hgb	NOUN
ajmsi-1979	119	42	<	<	X
ajmsi-1979	119	43	10	10	NUM
ajmsi-1979	119	44	severe	severe	ADJ
ajmsi-1979	119	45	10	10	NUM
ajmsi-1979	119	46	-	-	SYM
ajmsi-1979	119	47	12	12	NUM
ajmsi-1979	119	48	normal	normal	ADJ
ajmsi-1979	119	49	hct	hct	NOUN
ajmsi-1979	119	50	<	<	X
ajmsi-1979	119	51	37	37	NUM
ajmsi-1979	119	52	low	low	ADJ
ajmsi-1979	119	53	37	37	NUM
ajmsi-1979	119	54	-	-	SYM
ajmsi-1979	119	55	50	50	NUM
ajmsi-1979	119	56	normal	normal	ADJ
ajmsi-1979	119	57	mchc	mchc	NOUN
ajmsi-1979	119	58	<	<	X
ajmsi-1979	119	59	32	32	NUM
ajmsi-1979	119	60	hypochromic	hypochromic	ADJ
ajmsi-1979	119	61	32	32	NUM
ajmsi-1979	119	62	-	-	SYM
ajmsi-1979	119	63	36	36	NUM
ajmsi-1979	119	64	normochromic	normochromic	ADJ
ajmsi-1979	119	65	rdw	rdw	NOUN
ajmsi-1979	119	66	>	>	X
ajmsi-1979	119	67	14.6	14.6	NUM
ajmsi-1979	119	68	high	high	ADJ
ajmsi-1979	119	69	11.6	11.6	NUM
ajmsi-1979	119	70	-	-	SYM
ajmsi-1979	119	71	14.6	14.6	NUM
ajmsi-1979	119	72	normal	normal	ADJ
ajmsi-1979	119	73	figure	figure	NOUN
ajmsi-1979	119	74	2	2	NUM
ajmsi-1979	119	75	:	:	PUNCT
ajmsi-1979	119	76	the	the	DET
ajmsi-1979	119	77	proposed	propose	VERB
ajmsi-1979	119	78	method	method	NOUN
ajmsi-1979	119	79	pa	pa	PROPN
ajmsi-1979	119	80	ge	ge	PROPN
ajmsi-1979	119	81	10	10	NUM
ajmsi-1979	119	82	1	1	NUM
ajmsi-1979	119	83	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	119	84	am	be	AUX
ajmsi-1979	119	85	.	.	PUNCT
ajmsi-1979	120	1	j.	j.	PROPN
ajmsi-1979	120	2	med	med	PROPN
ajmsi-1979	120	3	.	.	PUNCT
ajmsi-1979	121	1	sci	sci	PROPN
ajmsi-1979	121	2	.	.	PUNCT
ajmsi-1979	121	3	innov	innov	PROPN
ajmsi-1979	121	4	.	.	PUNCT
ajmsi-1979	122	1	2(2	2(2	NUM
ajmsi-1979	122	2	)	)	PUNCT
ajmsi-1979	122	3	97	97	NUM
ajmsi-1979	122	4	-	-	SYM
ajmsi-1979	122	5	109	109	NUM
ajmsi-1979	122	6	,	,	PUNCT
ajmsi-1979	122	7	2023	2023	NUM
ajmsi-1979	122	8	tools	tool	NOUN
ajmsi-1979	122	9	(	(	PUNCT
ajmsi-1979	122	10	jovic	jovic	PROPN
ajmsi-1979	122	11	et	et	PROPN
ajmsi-1979	122	12	al	al	PROPN
ajmsi-1979	122	13	.	.	PROPN
ajmsi-1979	122	14	,	,	PUNCT
ajmsi-1979	122	15	2014	2014	NUM
ajmsi-1979	122	16	;	;	PUNCT
ajmsi-1979	122	17	sultana	sultana	NOUN
ajmsi-1979	122	18	et	et	PROPN
ajmsi-1979	122	19	al	al	PROPN
ajmsi-1979	122	20	.	.	PROPN
ajmsi-1979	122	21	,	,	PUNCT
ajmsi-1979	122	22	2016	2016	NUM
ajmsi-1979	122	23	)	)	PUNCT
ajmsi-1979	122	24	.	.	PUNCT
ajmsi-1979	123	1	these	these	PRON
ajmsi-1979	123	2	are	be	AUX
ajmsi-1979	123	3	used	use	VERB
ajmsi-1979	123	4	for	for	ADP
ajmsi-1979	123	5	predictive	predictive	ADJ
ajmsi-1979	123	6	modelling	modelling	NOUN
ajmsi-1979	123	7	and	and	CCONJ
ajmsi-1979	123	8	data	datum	NOUN
ajmsi-1979	123	9	analysis	analysis	NOUN
ajmsi-1979	123	10	together	together	ADV
ajmsi-1979	123	11	with	with	ADP
ajmsi-1979	123	12	graphical	graphical	ADJ
ajmsi-1979	123	13	user	user	NOUN
ajmsi-1979	123	14	interfaces	interface	NOUN
ajmsi-1979	123	15	to	to	PART
ajmsi-1979	123	16	get	get	VERB
ajmsi-1979	123	17	easy	easy	ADJ
ajmsi-1979	123	18	access	access	NOUN
ajmsi-1979	123	19	to	to	ADP
ajmsi-1979	123	20	its	its	PRON
ajmsi-1979	123	21	functionalities	functionality	NOUN
ajmsi-1979	123	22	.	.	PUNCT
ajmsi-1979	124	1	weka	weka	PROPN
ajmsi-1979	124	2	tool	tool	PROPN
ajmsi-1979	124	3	is	be	AUX
ajmsi-1979	124	4	platform	platform	NOUN
ajmsi-1979	124	5	-	-	PUNCT
ajmsi-1979	124	6	independent	independent	ADJ
ajmsi-1979	124	7	,	,	PUNCT
ajmsi-1979	124	8	easily	easily	ADV
ajmsi-1979	124	9	available	available	ADJ
ajmsi-1979	124	10	,	,	PUNCT
ajmsi-1979	124	11	and	and	CCONJ
ajmsi-1979	124	12	open	open	ADJ
ajmsi-1979	124	13	source	source	NOUN
ajmsi-1979	124	14	(	(	PUNCT
ajmsi-1979	124	15	singhal	singhal	PROPN
ajmsi-1979	124	16	&	&	CCONJ
ajmsi-1979	124	17	jena	jena	PROPN
ajmsi-1979	124	18	,	,	PUNCT
ajmsi-1979	124	19	2013	2013	NUM
ajmsi-1979	124	20	)	)	PUNCT
ajmsi-1979	124	21	.	.	PUNCT
ajmsi-1979	125	1	in	in	ADP
ajmsi-1979	125	2	this	this	DET
ajmsi-1979	125	3	research	research	NOUN
ajmsi-1979	125	4	,	,	PUNCT
ajmsi-1979	125	5	weka	weka	PROPN
ajmsi-1979	125	6	explorer	explorer	PROPN
ajmsi-1979	125	7	and	and	CCONJ
ajmsi-1979	125	8	experimenter	experimenter	NOUN
ajmsi-1979	125	9	were	be	AUX
ajmsi-1979	125	10	used	use	VERB
ajmsi-1979	125	11	to	to	PART
ajmsi-1979	125	12	explore	explore	VERB
ajmsi-1979	125	13	data	datum	NOUN
ajmsi-1979	125	14	and	and	CCONJ
ajmsi-1979	125	15	perform	perform	VERB
ajmsi-1979	125	16	experiments	experiment	NOUN
ajmsi-1979	125	17	and	and	CCONJ
ajmsi-1979	125	18	statistical	statistical	ADJ
ajmsi-1979	125	19	tests	test	NOUN
ajmsi-1979	125	20	.	.	PUNCT
ajmsi-1979	126	1	the	the	DET
ajmsi-1979	126	2	implementation	implementation	NOUN
ajmsi-1979	126	3	of	of	ADP
ajmsi-1979	126	4	the	the	DET
ajmsi-1979	126	5	proposed	propose	VERB
ajmsi-1979	126	6	method	method	NOUN
ajmsi-1979	126	7	began	begin	VERB
ajmsi-1979	126	8	by	by	ADP
ajmsi-1979	126	9	using	use	VERB
ajmsi-1979	126	10	four	four	NUM
ajmsi-1979	126	11	classifiers	classifier	NOUN
ajmsi-1979	126	12	on	on	ADP
ajmsi-1979	126	13	weka	weka	NOUN
ajmsi-1979	126	14	on	on	ADP
ajmsi-1979	126	15	training	training	NOUN
ajmsi-1979	126	16	and	and	CCONJ
ajmsi-1979	126	17	testing	testing	NOUN
ajmsi-1979	126	18	datasets	dataset	NOUN
ajmsi-1979	126	19	to	to	PART
ajmsi-1979	126	20	validate	validate	VERB
ajmsi-1979	126	21	results	result	NOUN
ajmsi-1979	126	22	with	with	ADP
ajmsi-1979	126	23	the	the	DET
ajmsi-1979	126	24	highest	high	ADJ
ajmsi-1979	126	25	accuracy	accuracy	NOUN
ajmsi-1979	126	26	and	and	CCONJ
ajmsi-1979	126	27	least	least	ADJ
ajmsi-1979	126	28	mean	mean	VERB
ajmsi-1979	126	29	square	square	ADJ
ajmsi-1979	126	30	error	error	NOUN
ajmsi-1979	126	31	(	(	PUNCT
ajmsi-1979	126	32	jovic	jovic	PROPN
ajmsi-1979	126	33	et	et	PROPN
ajmsi-1979	126	34	al	al	PROPN
ajmsi-1979	126	35	.	.	PROPN
ajmsi-1979	126	36	,	,	PUNCT
ajmsi-1979	126	37	2014	2014	NUM
ajmsi-1979	126	38	)	)	PUNCT
ajmsi-1979	126	39	.	.	PUNCT
ajmsi-1979	127	1	after	after	ADP
ajmsi-1979	127	2	classification	classification	NOUN
ajmsi-1979	127	3	on	on	ADP
ajmsi-1979	127	4	weka	weka	PROPN
ajmsi-1979	127	5	explorer	explorer	PROPN
ajmsi-1979	127	6	,	,	PUNCT
ajmsi-1979	127	7	generated	generate	VERB
ajmsi-1979	127	8	results	result	NOUN
ajmsi-1979	127	9	were	be	AUX
ajmsi-1979	127	10	evaluated	evaluate	VERB
ajmsi-1979	127	11	in	in	ADP
ajmsi-1979	127	12	the	the	DET
ajmsi-1979	127	13	weka	weka	PROPN
ajmsi-1979	127	14	experimenter	experimenter	PROPN
ajmsi-1979	127	15	.	.	PUNCT
ajmsi-1979	128	1	figure	figure	NOUN
ajmsi-1979	128	2	2	2	NUM
ajmsi-1979	128	3	below	below	ADV
ajmsi-1979	128	4	is	be	AUX
ajmsi-1979	128	5	the	the	DET
ajmsi-1979	128	6	research	research	NOUN
ajmsi-1979	128	7	flowchart	flowchart	NOUN
ajmsi-1979	128	8	which	which	PRON
ajmsi-1979	128	9	explains	explain	VERB
ajmsi-1979	128	10	the	the	DET
ajmsi-1979	128	11	proposed	propose	VERB
ajmsi-1979	128	12	method	method	NOUN
ajmsi-1979	128	13	.	.	PUNCT
ajmsi-1979	129	1	figure	figure	NOUN
ajmsi-1979	129	2	2	2	NUM
ajmsi-1979	129	3	above	above	ADP
ajmsi-1979	129	4	presents	present	VERB
ajmsi-1979	129	5	the	the	DET
ajmsi-1979	129	6	steps	step	NOUN
ajmsi-1979	129	7	followed	follow	VERB
ajmsi-1979	129	8	for	for	ADP
ajmsi-1979	129	9	the	the	DET
ajmsi-1979	129	10	execution	execution	NOUN
ajmsi-1979	129	11	of	of	ADP
ajmsi-1979	129	12	the	the	DET
ajmsi-1979	129	13	proposed	propose	VERB
ajmsi-1979	129	14	method	method	NOUN
ajmsi-1979	129	15	.	.	PUNCT
ajmsi-1979	130	1	the	the	DET
ajmsi-1979	130	2	process	process	NOUN
ajmsi-1979	130	3	begins	begin	VERB
ajmsi-1979	130	4	with	with	ADP
ajmsi-1979	130	5	collecting	collect	VERB
ajmsi-1979	130	6	data	datum	NOUN
ajmsi-1979	130	7	,	,	PUNCT
ajmsi-1979	130	8	identifying	identify	VERB
ajmsi-1979	130	9	the	the	DET
ajmsi-1979	130	10	attributes	attribute	NOUN
ajmsi-1979	130	11	,	,	PUNCT
ajmsi-1979	130	12	uploading	upload	VERB
ajmsi-1979	130	13	the	the	DET
ajmsi-1979	130	14	dataset	dataset	NOUN
ajmsi-1979	130	15	on	on	ADP
ajmsi-1979	130	16	weka	weka	PROPN
ajmsi-1979	130	17	in	in	ADP
ajmsi-1979	130	18	csv	csv	NOUN
ajmsi-1979	130	19	or	or	CCONJ
ajmsi-1979	130	20	arff	arff	PROPN
ajmsi-1979	130	21	format	format	NOUN
ajmsi-1979	130	22	,	,	PUNCT
ajmsi-1979	130	23	applying	apply	VERB
ajmsi-1979	130	24	various	various	ADJ
ajmsi-1979	130	25	classification	classification	NOUN
ajmsi-1979	130	26	algorithms	algorithm	NOUN
ajmsi-1979	130	27	,	,	PUNCT
ajmsi-1979	130	28	predicting	predict	VERB
ajmsi-1979	130	29	results	result	NOUN
ajmsi-1979	130	30	,	,	PUNCT
ajmsi-1979	130	31	and	and	CCONJ
ajmsi-1979	130	32	evaluating	evaluate	VERB
ajmsi-1979	130	33	the	the	DET
ajmsi-1979	130	34	performance	performance	NOUN
ajmsi-1979	130	35	of	of	ADP
ajmsi-1979	130	36	each	each	DET
ajmsi-1979	130	37	classifier	classifier	NOUN
ajmsi-1979	130	38	is	be	AUX
ajmsi-1979	130	39	identified	identify	VERB
ajmsi-1979	130	40	from	from	ADP
ajmsi-1979	130	41	the	the	DET
ajmsi-1979	130	42	accuracy	accuracy	NOUN
ajmsi-1979	130	43	,	,	PUNCT
ajmsi-1979	130	44	precision	precision	NOUN
ajmsi-1979	130	45	,	,	PUNCT
ajmsi-1979	130	46	recall	recall	NOUN
ajmsi-1979	130	47	,	,	PUNCT
ajmsi-1979	130	48	true	true	ADJ
ajmsi-1979	130	49	positive	positive	ADJ
ajmsi-1979	130	50	rate	rate	NOUN
ajmsi-1979	130	51	,	,	PUNCT
ajmsi-1979	130	52	etc	etc	X
ajmsi-1979	130	53	.	.	X
ajmsi-1979	131	1	the	the	DET
ajmsi-1979	131	2	algorithms	algorithm	NOUN
ajmsi-1979	131	3	used	use	VERB
ajmsi-1979	131	4	for	for	ADP
ajmsi-1979	131	5	classification	classification	NOUN
ajmsi-1979	131	6	j48	j48	ADJ
ajmsi-1979	131	7	decision	decision	NOUN
ajmsi-1979	131	8	tree	tree	NOUN
ajmsi-1979	131	9	a	a	DET
ajmsi-1979	131	10	decision	decision	NOUN
ajmsi-1979	131	11	tree	tree	NOUN
ajmsi-1979	131	12	is	be	AUX
ajmsi-1979	131	13	a	a	DET
ajmsi-1979	131	14	supervised	supervised	ADJ
ajmsi-1979	131	15	classification	classification	NOUN
ajmsi-1979	131	16	algorithm	algorithm	NOUN
ajmsi-1979	131	17	that	that	PRON
ajmsi-1979	131	18	verifies	verify	VERB
ajmsi-1979	131	19	a	a	DET
ajmsi-1979	131	20	problem	problem	NOUN
ajmsi-1979	131	21	and	and	CCONJ
ajmsi-1979	131	22	determines	determine	VERB
ajmsi-1979	131	23	the	the	DET
ajmsi-1979	131	24	dependent	dependent	ADJ
ajmsi-1979	131	25	variable	variable	ADJ
ajmsi-1979	131	26	values	value	NOUN
ajmsi-1979	131	27	based	base	VERB
ajmsi-1979	131	28	on	on	ADP
ajmsi-1979	131	29	independent	independent	ADJ
ajmsi-1979	131	30	values	value	NOUN
ajmsi-1979	131	31	via	via	ADP
ajmsi-1979	131	32	powerful	powerful	ADJ
ajmsi-1979	131	33	approaches	approach	NOUN
ajmsi-1979	131	34	to	to	ADP
ajmsi-1979	131	35	data	datum	NOUN
ajmsi-1979	131	36	mining	mining	NOUN
ajmsi-1979	131	37	and	and	CCONJ
ajmsi-1979	131	38	knowledge	knowledge	NOUN
ajmsi-1979	131	39	discovery	discovery	PROPN
ajmsi-1979	131	40	(	(	PUNCT
ajmsi-1979	131	41	drazin	drazin	PROPN
ajmsi-1979	131	42	&	&	CCONJ
ajmsi-1979	131	43	montag	montag	PROPN
ajmsi-1979	131	44	,	,	PUNCT
ajmsi-1979	131	45	2012	2012	NUM
ajmsi-1979	131	46	;	;	PUNCT
ajmsi-1979	131	47	sahu	sahu	PROPN
ajmsi-1979	131	48	&	&	CCONJ
ajmsi-1979	131	49	mehtre	mehtre	PROPN
ajmsi-1979	131	50	,	,	PUNCT
ajmsi-1979	131	51	2015	2015	NUM
ajmsi-1979	131	52	)	)	PUNCT
ajmsi-1979	131	53	.	.	PUNCT
ajmsi-1979	132	1	j48	j48	PROPN
ajmsi-1979	132	2	algorithm	algorithm	PROPN
ajmsi-1979	132	3	uses	use	VERB
ajmsi-1979	132	4	a	a	DET
ajmsi-1979	132	5	divide	divide	NOUN
ajmsi-1979	132	6	and	and	CCONJ
ajmsi-1979	132	7	conquer	conquer	VERB
ajmsi-1979	132	8	approach	approach	NOUN
ajmsi-1979	132	9	to	to	PART
ajmsi-1979	132	10	grow	grow	VERB
ajmsi-1979	132	11	a	a	DET
ajmsi-1979	132	12	tree	tree	NOUN
ajmsi-1979	132	13	,	,	PUNCT
ajmsi-1979	132	14	checking	check	VERB
ajmsi-1979	132	15	the	the	DET
ajmsi-1979	132	16	cases	case	NOUN
ajmsi-1979	132	17	belonging	belong	VERB
ajmsi-1979	132	18	to	to	ADP
ajmsi-1979	132	19	the	the	DET
ajmsi-1979	132	20	same	same	ADJ
ajmsi-1979	132	21	class	class	NOUN
ajmsi-1979	132	22	and	and	CCONJ
ajmsi-1979	132	23	labelling	label	VERB
ajmsi-1979	132	24	a	a	DET
ajmsi-1979	132	25	leaf	leaf	NOUN
ajmsi-1979	132	26	with	with	ADP
ajmsi-1979	132	27	that	that	DET
ajmsi-1979	132	28	class	class	NOUN
ajmsi-1979	132	29	(	(	PUNCT
ajmsi-1979	132	30	drazin	drazin	PROPN
ajmsi-1979	132	31	&	&	CCONJ
ajmsi-1979	132	32	montag	montag	PROPN
ajmsi-1979	132	33	,	,	PUNCT
ajmsi-1979	132	34	2012	2012	NUM
ajmsi-1979	132	35	)	)	PUNCT
ajmsi-1979	132	36	.	.	PUNCT
ajmsi-1979	133	1	furthermore	furthermore	ADV
ajmsi-1979	133	2	,	,	PUNCT
ajmsi-1979	133	3	figure	figure	VERB
ajmsi-1979	133	4	3	3	NUM
ajmsi-1979	133	5	presents	present	VERB
ajmsi-1979	133	6	the	the	DET
ajmsi-1979	133	7	flowchart	flowchart	NOUN
ajmsi-1979	133	8	of	of	ADP
ajmsi-1979	133	9	the	the	DET
ajmsi-1979	133	10	j48	j48	PROPN
ajmsi-1979	133	11	decision	decision	NOUN
ajmsi-1979	133	12	tree	tree	NOUN
ajmsi-1979	133	13	algorithm	algorithm	NOUN
ajmsi-1979	133	14	,	,	PUNCT
ajmsi-1979	133	15	presenting	present	VERB
ajmsi-1979	133	16	the	the	DET
ajmsi-1979	133	17	main	main	ADJ
ajmsi-1979	133	18	purpose	purpose	NOUN
ajmsi-1979	133	19	of	of	ADP
ajmsi-1979	133	20	the	the	DET
ajmsi-1979	133	21	algorithm	algorithm	NOUN
ajmsi-1979	133	22	as	as	ADP
ajmsi-1979	133	23	a	a	DET
ajmsi-1979	133	24	data	data	NOUN
ajmsi-1979	133	25	mining	mining	NOUN
ajmsi-1979	133	26	classifier	classifier	NOUN
ajmsi-1979	133	27	.	.	PUNCT
ajmsi-1979	134	1	it	it	PRON
ajmsi-1979	134	2	is	be	AUX
ajmsi-1979	134	3	a	a	DET
ajmsi-1979	134	4	predictive	predictive	ADJ
ajmsi-1979	134	5	machine	machine	NOUN
ajmsi-1979	134	6	learning	learning	NOUN
ajmsi-1979	134	7	model	model	NOUN
ajmsi-1979	134	8	that	that	PRON
ajmsi-1979	134	9	decides	decide	VERB
ajmsi-1979	134	10	conditions	condition	NOUN
ajmsi-1979	134	11	based	base	VERB
ajmsi-1979	134	12	on	on	ADP
ajmsi-1979	134	13	the	the	DET
ajmsi-1979	134	14	training	training	NOUN
ajmsi-1979	134	15	dataset	dataset	NOUN
ajmsi-1979	134	16	’s	’s	PART
ajmsi-1979	134	17	attributes	attribute	NOUN
ajmsi-1979	134	18	.	.	PUNCT
ajmsi-1979	135	1	further	far	ADV
ajmsi-1979	135	2	,	,	PUNCT
ajmsi-1979	135	3	it	it	PRON
ajmsi-1979	135	4	provides	provide	VERB
ajmsi-1979	135	5	a	a	DET
ajmsi-1979	135	6	pruned	prune	VERB
ajmsi-1979	135	7	decision	decision	NOUN
ajmsi-1979	135	8	tree	tree	NOUN
ajmsi-1979	135	9	useful	useful	ADJ
ajmsi-1979	135	10	for	for	ADP
ajmsi-1979	135	11	addressing	address	VERB
ajmsi-1979	135	12	overfitting	overfitte	VERB
ajmsi-1979	135	13	and	and	CCONJ
ajmsi-1979	135	14	classifying	classify	VERB
ajmsi-1979	135	15	instances	instance	NOUN
ajmsi-1979	135	16	correctly	correctly	ADV
ajmsi-1979	135	17	.	.	PUNCT
ajmsi-1979	136	1	it	it	PRON
ajmsi-1979	136	2	splits	split	VERB
ajmsi-1979	136	3	the	the	DET
ajmsi-1979	136	4	values	value	NOUN
ajmsi-1979	136	5	based	base	VERB
ajmsi-1979	136	6	on	on	ADP
ajmsi-1979	136	7	the	the	DET
ajmsi-1979	136	8	threshold	threshold	NOUN
ajmsi-1979	136	9	specifying	specify	VERB
ajmsi-1979	136	10	what	what	PRON
ajmsi-1979	136	11	is	be	AUX
ajmsi-1979	136	12	upper	upper	ADJ
ajmsi-1979	136	13	than	than	ADP
ajmsi-1979	136	14	,	,	PUNCT
ajmsi-1979	136	15	equal	equal	ADJ
ajmsi-1979	136	16	to	to	ADP
ajmsi-1979	136	17	,	,	PUNCT
ajmsi-1979	136	18	or	or	CCONJ
ajmsi-1979	136	19	less	less	ADJ
ajmsi-1979	136	20	than	than	ADP
ajmsi-1979	136	21	that	that	DET
ajmsi-1979	136	22	value	value	NOUN
ajmsi-1979	136	23	,	,	PUNCT
ajmsi-1979	136	24	especially	especially	ADV
ajmsi-1979	136	25	when	when	SCONJ
ajmsi-1979	136	26	dealing	deal	VERB
ajmsi-1979	136	27	with	with	ADP
ajmsi-1979	136	28	continuous	continuous	ADJ
ajmsi-1979	136	29	attributes	attribute	NOUN
ajmsi-1979	136	30	(	(	PUNCT
ajmsi-1979	136	31	sahu	sahu	PROPN
ajmsi-1979	136	32	&	&	CCONJ
ajmsi-1979	136	33	mehtre	mehtre	PROPN
ajmsi-1979	136	34	,	,	PUNCT
ajmsi-1979	136	35	2015	2015	NUM
ajmsi-1979	136	36	)	)	PUNCT
ajmsi-1979	136	37	.	.	PUNCT
ajmsi-1979	137	1	naïve	naïve	ADJ
ajmsi-1979	137	2	bayes	bayes	PROPN
ajmsi-1979	137	3	classifier	classifier	PROPN
ajmsi-1979	137	4	naïve	naïve	PROPN
ajmsi-1979	137	5	bayes	bayes	PROPN
ajmsi-1979	137	6	scans	scan	VERB
ajmsi-1979	137	7	the	the	DET
ajmsi-1979	137	8	training	training	NOUN
ajmsi-1979	137	9	data	datum	NOUN
ajmsi-1979	137	10	and	and	CCONJ
ajmsi-1979	137	11	estimates	estimate	VERB
ajmsi-1979	137	12	all	all	DET
ajmsi-1979	137	13	the	the	DET
ajmsi-1979	137	14	probabilities	probability	NOUN
ajmsi-1979	137	15	with	with	ADP
ajmsi-1979	137	16	high	high	ADJ
ajmsi-1979	137	17	learning	learning	NOUN
ajmsi-1979	137	18	efficiency	efficiency	NOUN
ajmsi-1979	137	19	(	(	PUNCT
ajmsi-1979	137	20	an	an	DET
ajmsi-1979	137	21	et	et	NOUN
ajmsi-1979	137	22	al	al	PROPN
ajmsi-1979	137	23	.	.	PROPN
ajmsi-1979	137	24	,	,	PUNCT
ajmsi-1979	137	25	2017	2017	NUM
ajmsi-1979	137	26	)	)	PUNCT
ajmsi-1979	137	27	.	.	PUNCT
ajmsi-1979	138	1	the	the	DET
ajmsi-1979	138	2	classification	classification	NOUN
ajmsi-1979	138	3	in	in	ADP
ajmsi-1979	138	4	this	this	DET
ajmsi-1979	138	5	algorithm	algorithm	NOUN
ajmsi-1979	138	6	is	be	AUX
ajmsi-1979	138	7	based	base	VERB
ajmsi-1979	138	8	on	on	ADP
ajmsi-1979	138	9	the	the	DET
ajmsi-1979	138	10	assumptions	assumption	NOUN
ajmsi-1979	138	11	for	for	ADP
ajmsi-1979	138	12	identifying	identify	VERB
ajmsi-1979	138	13	the	the	DET
ajmsi-1979	138	14	object	object	NOUN
ajmsi-1979	138	15	that	that	PRON
ajmsi-1979	138	16	is	be	AUX
ajmsi-1979	138	17	likely	likely	ADJ
ajmsi-1979	138	18	to	to	PART
ajmsi-1979	138	19	be	be	AUX
ajmsi-1979	138	20	classified	classify	VERB
ajmsi-1979	138	21	in	in	ADP
ajmsi-1979	138	22	the	the	DET
ajmsi-1979	138	23	identified	identify	VERB
ajmsi-1979	138	24	category	category	NOUN
ajmsi-1979	138	25	,	,	PUNCT
ajmsi-1979	138	26	showing	show	VERB
ajmsi-1979	138	27	a	a	DET
ajmsi-1979	138	28	direct	direct	ADJ
ajmsi-1979	138	29	or	or	CCONJ
ajmsi-1979	138	30	inverse	inverse	NOUN
ajmsi-1979	138	31	relationship	relationship	NOUN
ajmsi-1979	138	32	between	between	ADP
ajmsi-1979	138	33	one	one	NUM
ajmsi-1979	138	34	conditional	conditional	ADJ
ajmsi-1979	138	35	probability	probability	NOUN
ajmsi-1979	138	36	(	(	PUNCT
ajmsi-1979	138	37	an	an	DET
ajmsi-1979	138	38	et	et	NOUN
ajmsi-1979	138	39	al	al	PROPN
ajmsi-1979	138	40	.	.	PROPN
ajmsi-1979	138	41	,	,	PUNCT
ajmsi-1979	138	42	2017	2017	NUM
ajmsi-1979	138	43	;	;	PUNCT
ajmsi-1979	138	44	xu	xu	PROPN
ajmsi-1979	138	45	,	,	PUNCT
ajmsi-1979	138	46	2018	2018	NUM
ajmsi-1979	138	47	)	)	PUNCT
ajmsi-1979	138	48	.	.	PUNCT
ajmsi-1979	139	1	figure	figure	VERB
ajmsi-1979	139	2	3	3	NUM
ajmsi-1979	139	3	:	:	PUNCT
ajmsi-1979	139	4	flowchart	flowchart	NOUN
ajmsi-1979	139	5	for	for	ADP
ajmsi-1979	139	6	j48	j48	PROPN
ajmsi-1979	139	7	decision	decision	NOUN
ajmsi-1979	139	8	tree	tree	NOUN
ajmsi-1979	139	9	algorithm	algorithm	NOUN
ajmsi-1979	139	10	figure	figure	NOUN
ajmsi-1979	139	11	4	4	NUM
ajmsi-1979	139	12	:	:	PUNCT
ajmsi-1979	139	13	flowchart	flowchart	NOUN
ajmsi-1979	139	14	for	for	ADP
ajmsi-1979	139	15	naïve	naïve	ADJ
ajmsi-1979	139	16	bayesian	bayesian	NOUN
ajmsi-1979	139	17	algorithm	algorithm	NOUN
ajmsi-1979	139	18	figure	figure	NOUN
ajmsi-1979	139	19	4	4	NUM
ajmsi-1979	139	20	illustrates	illustrate	VERB
ajmsi-1979	139	21	the	the	DET
ajmsi-1979	139	22	generative	generative	ADJ
ajmsi-1979	139	23	process	process	NOUN
ajmsi-1979	139	24	of	of	ADP
ajmsi-1979	139	25	the	the	DET
ajmsi-1979	139	26	bayesian	bayesian	NOUN
ajmsi-1979	139	27	classifier	classifier	NOUN
ajmsi-1979	139	28	,	,	PUNCT
ajmsi-1979	139	29	where	where	SCONJ
ajmsi-1979	139	30	each	each	DET
ajmsi-1979	139	31	arrow	arrow	NOUN
ajmsi-1979	139	32	represents	represent	VERB
ajmsi-1979	139	33	conditional	conditional	ADJ
ajmsi-1979	139	34	dependency	dependency	NOUN
ajmsi-1979	139	35	among	among	ADP
ajmsi-1979	139	36	variables	variable	NOUN
ajmsi-1979	139	37	(	(	PUNCT
ajmsi-1979	139	38	xu	xu	INTJ
ajmsi-1979	139	39	,	,	PUNCT
ajmsi-1979	139	40	2018	2018	NUM
ajmsi-1979	139	41	)	)	PUNCT
ajmsi-1979	139	42	.	.	PUNCT
ajmsi-1979	140	1	it	it	PRON
ajmsi-1979	140	2	computes	compute	VERB
ajmsi-1979	140	3	a	a	DET
ajmsi-1979	140	4	probability	probability	NOUN
ajmsi-1979	140	5	after	after	ADP
ajmsi-1979	140	6	calculating	calculate	VERB
ajmsi-1979	140	7	the	the	DET
ajmsi-1979	140	8	rate	rate	NOUN
ajmsi-1979	140	9	of	of	ADP
ajmsi-1979	140	10	values	value	NOUN
ajmsi-1979	140	11	and	and	CCONJ
ajmsi-1979	140	12	their	their	PRON
ajmsi-1979	140	13	combinations	combination	NOUN
ajmsi-1979	140	14	in	in	ADP
ajmsi-1979	140	15	a	a	DET
ajmsi-1979	140	16	specific	specific	ADJ
ajmsi-1979	140	17	dataset	dataset	NOUN
ajmsi-1979	140	18	.	.	PUNCT
ajmsi-1979	141	1	given	give	VERB
ajmsi-1979	141	2	the	the	DET
ajmsi-1979	141	3	pa	pa	PROPN
ajmsi-1979	141	4	ge	ge	PROPN
ajmsi-1979	141	5	10	10	NUM
ajmsi-1979	141	6	2	2	NUM
ajmsi-1979	141	7	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	141	8	am	be	AUX
ajmsi-1979	141	9	.	.	PUNCT
ajmsi-1979	142	1	j.	j.	PROPN
ajmsi-1979	142	2	med	med	PROPN
ajmsi-1979	142	3	.	.	PUNCT
ajmsi-1979	143	1	sci	sci	PROPN
ajmsi-1979	143	2	.	.	PUNCT
ajmsi-1979	143	3	innov	innov	PROPN
ajmsi-1979	143	4	.	.	PUNCT
ajmsi-1979	144	1	2(2	2(2	NUM
ajmsi-1979	144	2	)	)	PUNCT
ajmsi-1979	144	3	97	97	NUM
ajmsi-1979	144	4	-	-	SYM
ajmsi-1979	144	5	109	109	NUM
ajmsi-1979	144	6	,	,	PUNCT
ajmsi-1979	144	7	2023	2023	NUM
ajmsi-1979	144	8	probability	probability	NOUN
ajmsi-1979	144	9	of	of	ADP
ajmsi-1979	144	10	a	a	DET
ajmsi-1979	144	11	single	single	ADJ
ajmsi-1979	144	12	event	event	NOUN
ajmsi-1979	144	13	,	,	PUNCT
ajmsi-1979	144	14	the	the	DET
ajmsi-1979	144	15	naïve	naïve	ADJ
ajmsi-1979	144	16	bayes	bayes	NOUN
ajmsi-1979	144	17	classifier	classifier	NOUN
ajmsi-1979	144	18	identifies	identify	VERB
ajmsi-1979	144	19	another	another	DET
ajmsi-1979	144	20	event	event	NOUN
ajmsi-1979	144	21	that	that	PRON
ajmsi-1979	144	22	has	have	AUX
ajmsi-1979	144	23	already	already	ADV
ajmsi-1979	144	24	happened	happen	VERB
ajmsi-1979	144	25	(	(	PUNCT
ajmsi-1979	144	26	granik	granik	X
ajmsi-1979	144	27	&	&	CCONJ
ajmsi-1979	144	28	mesyura	mesyura	PROPN
ajmsi-1979	144	29	,	,	PUNCT
ajmsi-1979	144	30	2017	2017	NUM
ajmsi-1979	144	31	)	)	PUNCT
ajmsi-1979	144	32	.	.	PUNCT
ajmsi-1979	145	1	the	the	DET
ajmsi-1979	145	2	algorithm	algorithm	NOUN
ajmsi-1979	145	3	uses	use	VERB
ajmsi-1979	145	4	kernel	kernel	PROPN
ajmsi-1979	145	5	density	density	NOUN
ajmsi-1979	145	6	estimators	estimator	NOUN
ajmsi-1979	145	7	dealing	deal	VERB
ajmsi-1979	145	8	with	with	ADP
ajmsi-1979	145	9	numeric	numeric	ADJ
ajmsi-1979	145	10	attributes	attribute	NOUN
ajmsi-1979	145	11	using	use	VERB
ajmsi-1979	145	12	supervised	supervised	ADJ
ajmsi-1979	145	13	discretization	discretization	NOUN
ajmsi-1979	145	14	(	(	PUNCT
ajmsi-1979	145	15	an	an	DET
ajmsi-1979	145	16	et	et	NOUN
ajmsi-1979	145	17	al	al	PROPN
ajmsi-1979	145	18	.	.	PROPN
ajmsi-1979	145	19	,	,	PUNCT
ajmsi-1979	145	20	2017	2017	NUM
ajmsi-1979	145	21	;	;	PUNCT
ajmsi-1979	145	22	jabbar	jabbar	PROPN
ajmsi-1979	145	23	&	&	CCONJ
ajmsi-1979	145	24	samreen	samreen	PROPN
ajmsi-1979	145	25	,	,	PUNCT
ajmsi-1979	145	26	2016	2016	NUM
ajmsi-1979	145	27	)	)	PUNCT
ajmsi-1979	145	28	.	.	PUNCT
ajmsi-1979	146	1	smo	smo	PROPN
ajmsi-1979	146	2	algorithm	algorithm	PROPN
ajmsi-1979	146	3	smo	smo	PROPN
ajmsi-1979	146	4	is	be	AUX
ajmsi-1979	146	5	an	an	DET
ajmsi-1979	146	6	outstanding	outstanding	ADJ
ajmsi-1979	146	7	svm	svm	ADJ
ajmsi-1979	146	8	algorithm	algorithm	NOUN
ajmsi-1979	146	9	in	in	ADP
ajmsi-1979	146	10	memory	memory	NOUN
ajmsi-1979	146	11	and	and	CCONJ
ajmsi-1979	146	12	efficiency	efficiency	NOUN
ajmsi-1979	146	13	requirements	requirement	NOUN
ajmsi-1979	146	14	abbreviated	abbreviate	VERB
ajmsi-1979	146	15	as	as	ADP
ajmsi-1979	146	16	sequential	sequential	ADJ
ajmsi-1979	146	17	minimal	minimal	ADJ
ajmsi-1979	146	18	optimization	optimization	NOUN
ajmsi-1979	146	19	.	.	PUNCT
ajmsi-1979	147	1	it	it	PRON
ajmsi-1979	147	2	requires	require	VERB
ajmsi-1979	147	3	cross	cross	ADJ
ajmsi-1979	147	4	-	-	NOUN
ajmsi-1979	147	5	validation	validation	ADJ
ajmsi-1979	147	6	to	to	PART
ajmsi-1979	147	7	avoid	avoid	VERB
ajmsi-1979	147	8	overfitting	overfitte	VERB
ajmsi-1979	147	9	and	and	CCONJ
ajmsi-1979	147	10	optimize	optimize	VERB
ajmsi-1979	147	11	parameters	parameter	NOUN
ajmsi-1979	147	12	in	in	ADP
ajmsi-1979	147	13	the	the	DET
ajmsi-1979	147	14	mathematical	mathematical	ADJ
ajmsi-1979	147	15	model	model	NOUN
ajmsi-1979	147	16	(	(	PUNCT
ajmsi-1979	147	17	luo	luo	PROPN
ajmsi-1979	147	18	et	et	PROPN
ajmsi-1979	147	19	al	al	PROPN
ajmsi-1979	147	20	.	.	PROPN
ajmsi-1979	147	21	,	,	PUNCT
ajmsi-1979	147	22	2016	2016	NUM
ajmsi-1979	147	23	)	)	PUNCT
ajmsi-1979	147	24	.	.	PUNCT
ajmsi-1979	148	1	smo	smo	PROPN
ajmsi-1979	148	2	in	in	ADP
ajmsi-1979	148	3	weka	weka	PROPN
ajmsi-1979	148	4	is	be	AUX
ajmsi-1979	148	5	a	a	DET
ajmsi-1979	148	6	supervised	supervised	ADJ
ajmsi-1979	148	7	support	support	NOUN
ajmsi-1979	148	8	vector	vector	NOUN
ajmsi-1979	148	9	machine	machine	NOUN
ajmsi-1979	148	10	algorithm	algorithm	NOUN
ajmsi-1979	148	11	that	that	PRON
ajmsi-1979	148	12	analyses	analyse	VERB
ajmsi-1979	148	13	data	datum	NOUN
ajmsi-1979	148	14	and	and	CCONJ
ajmsi-1979	148	15	recognizes	recognize	VERB
ajmsi-1979	148	16	patterns	pattern	NOUN
ajmsi-1979	148	17	.	.	PUNCT
ajmsi-1979	149	1	furthermore	furthermore	ADV
ajmsi-1979	149	2	,	,	PUNCT
ajmsi-1979	149	3	the	the	DET
ajmsi-1979	149	4	svm	svm	ADJ
ajmsi-1979	149	5	algorithm	algorithm	NOUN
ajmsi-1979	149	6	also	also	ADV
ajmsi-1979	149	7	possesses	possess	VERB
ajmsi-1979	149	8	the	the	DET
ajmsi-1979	149	9	same	same	ADJ
ajmsi-1979	149	10	functional	functional	ADJ
ajmsi-1979	149	11	form	form	NOUN
ajmsi-1979	149	12	of	of	ADP
ajmsi-1979	149	13	neural	neural	ADJ
ajmsi-1979	149	14	networks	network	NOUN
ajmsi-1979	149	15	and	and	CCONJ
ajmsi-1979	149	16	functions	function	NOUN
ajmsi-1979	149	17	as	as	ADP
ajmsi-1979	149	18	a	a	DET
ajmsi-1979	149	19	radial	radial	ADJ
ajmsi-1979	149	20	basis	basis	NOUN
ajmsi-1979	149	21	(	(	PUNCT
ajmsi-1979	149	22	zhang	zhang	X
ajmsi-1979	149	23	et	et	PROPN
ajmsi-1979	149	24	al	al	PROPN
ajmsi-1979	149	25	.	.	PROPN
ajmsi-1979	149	26	,	,	PUNCT
ajmsi-1979	149	27	2018	2018	NUM
ajmsi-1979	149	28	)	)	PUNCT
ajmsi-1979	149	29	.	.	PUNCT
ajmsi-1979	150	1	the	the	DET
ajmsi-1979	150	2	working	working	NOUN
ajmsi-1979	150	3	of	of	ADP
ajmsi-1979	150	4	the	the	DET
ajmsi-1979	150	5	smo	smo	PROPN
ajmsi-1979	150	6	algorithm	algorithm	NOUN
ajmsi-1979	150	7	is	be	AUX
ajmsi-1979	150	8	shown	show	VERB
ajmsi-1979	150	9	in	in	ADP
ajmsi-1979	150	10	figure	figure	NOUN
ajmsi-1979	150	11	5	5	NUM
ajmsi-1979	150	12	.	.	PUNCT
ajmsi-1979	150	13	belonging	belong	VERB
ajmsi-1979	150	14	to	to	ADP
ajmsi-1979	150	15	two	two	NUM
ajmsi-1979	150	16	classes	class	NOUN
ajmsi-1979	150	17	is	be	AUX
ajmsi-1979	150	18	given	give	VERB
ajmsi-1979	150	19	with	with	ADP
ajmsi-1979	150	20	associated	associated	ADJ
ajmsi-1979	150	21	class	class	NOUN
ajmsi-1979	150	22	labels	label	NOUN
ajmsi-1979	150	23	,	,	PUNCT
ajmsi-1979	150	24	and	and	CCONJ
ajmsi-1979	150	25	the	the	DET
ajmsi-1979	150	26	algorithm	algorithm	NOUN
ajmsi-1979	150	27	of	of	ADP
ajmsi-1979	150	28	smo	smo	PROPN
ajmsi-1979	150	29	was	be	AUX
ajmsi-1979	150	30	applied	apply	VERB
ajmsi-1979	150	31	using	use	VERB
ajmsi-1979	150	32	the	the	DET
ajmsi-1979	150	33	weka	weka	PROPN
ajmsi-1979	150	34	tool	tool	NOUN
ajmsi-1979	150	35	to	to	PART
ajmsi-1979	150	36	train	train	VERB
ajmsi-1979	150	37	the	the	DET
ajmsi-1979	150	38	model	model	NOUN
ajmsi-1979	150	39	.	.	PUNCT
ajmsi-1979	151	1	multilayer	multilayer	PROPN
ajmsi-1979	151	2	perceptron	perceptron	PROPN
ajmsi-1979	151	3	one	one	NUM
ajmsi-1979	151	4	of	of	ADP
ajmsi-1979	151	5	the	the	DET
ajmsi-1979	151	6	significant	significant	ADJ
ajmsi-1979	151	7	models	model	NOUN
ajmsi-1979	151	8	in	in	ADP
ajmsi-1979	151	9	artificial	artificial	ADJ
ajmsi-1979	151	10	neural	neural	ADJ
ajmsi-1979	151	11	network	network	NOUN
ajmsi-1979	151	12	(	(	PUNCT
ajmsi-1979	151	13	ann	ann	PROPN
ajmsi-1979	151	14	)	)	PUNCT
ajmsi-1979	151	15	is	be	AUX
ajmsi-1979	151	16	the	the	DET
ajmsi-1979	151	17	multilayer	multilayer	PROPN
ajmsi-1979	151	18	perceptron	perceptron	PROPN
ajmsi-1979	151	19	,	,	PUNCT
ajmsi-1979	151	20	which	which	PRON
ajmsi-1979	151	21	contains	contain	VERB
ajmsi-1979	151	22	a	a	DET
ajmsi-1979	151	23	single	single	ADJ
ajmsi-1979	151	24	input	input	NOUN
ajmsi-1979	151	25	layer	layer	NOUN
ajmsi-1979	151	26	,	,	PUNCT
ajmsi-1979	151	27	one	one	NUM
ajmsi-1979	151	28	or	or	CCONJ
ajmsi-1979	151	29	more	more	ADJ
ajmsi-1979	151	30	than	than	ADP
ajmsi-1979	151	31	one	one	NUM
ajmsi-1979	151	32	hidden	hide	VERB
ajmsi-1979	151	33	layer	layer	NOUN
ajmsi-1979	151	34	and	and	CCONJ
ajmsi-1979	151	35	a	a	DET
ajmsi-1979	151	36	single	single	ADJ
ajmsi-1979	151	37	output	output	NOUN
ajmsi-1979	151	38	layer	layer	NOUN
ajmsi-1979	151	39	;	;	PUNCT
ajmsi-1979	151	40	the	the	DET
ajmsi-1979	151	41	neurons	neuron	NOUN
ajmsi-1979	151	42	are	be	AUX
ajmsi-1979	151	43	organised	organise	VERB
ajmsi-1979	151	44	in	in	ADP
ajmsi-1979	151	45	these	these	DET
ajmsi-1979	151	46	layers	layer	NOUN
ajmsi-1979	151	47	which	which	PRON
ajmsi-1979	151	48	are	be	AUX
ajmsi-1979	151	49	not	not	PART
ajmsi-1979	151	50	connected	connect	VERB
ajmsi-1979	151	51	in	in	ADP
ajmsi-1979	151	52	the	the	DET
ajmsi-1979	151	53	same	same	ADJ
ajmsi-1979	151	54	layer	layer	NOUN
ajmsi-1979	151	55	(	(	PUNCT
ajmsi-1979	151	56	singh	singh	PROPN
ajmsi-1979	151	57	et	et	PROPN
ajmsi-1979	151	58	al	al	PROPN
ajmsi-1979	151	59	.	.	PROPN
ajmsi-1979	151	60	,	,	PUNCT
ajmsi-1979	151	61	2018	2018	NUM
ajmsi-1979	151	62	)	)	PUNCT
ajmsi-1979	151	63	.	.	PUNCT
ajmsi-1979	152	1	the	the	DET
ajmsi-1979	152	2	values	value	NOUN
ajmsi-1979	152	3	from	from	ADP
ajmsi-1979	152	4	the	the	DET
ajmsi-1979	152	5	input	input	NOUN
ajmsi-1979	152	6	node	node	NOUN
ajmsi-1979	152	7	pass	pass	VERB
ajmsi-1979	152	8	to	to	ADP
ajmsi-1979	152	9	the	the	DET
ajmsi-1979	152	10	first	first	ADJ
ajmsi-1979	152	11	hidden	hide	VERB
ajmsi-1979	152	12	layer	layer	NOUN
ajmsi-1979	152	13	,	,	PUNCT
ajmsi-1979	152	14	and	and	CCONJ
ajmsi-1979	152	15	the	the	DET
ajmsi-1979	152	16	same	same	ADJ
ajmsi-1979	152	17	process	process	NOUN
ajmsi-1979	152	18	continues	continue	VERB
ajmsi-1979	152	19	with	with	ADP
ajmsi-1979	152	20	all	all	DET
ajmsi-1979	152	21	the	the	DET
ajmsi-1979	152	22	hidden	hidden	ADJ
ajmsi-1979	152	23	layers	layer	NOUN
ajmsi-1979	152	24	until	until	SCONJ
ajmsi-1979	152	25	outputs	output	NOUN
ajmsi-1979	152	26	are	be	AUX
ajmsi-1979	152	27	produced	produce	VERB
ajmsi-1979	152	28	.	.	PUNCT
ajmsi-1979	153	1	furthermore	furthermore	ADV
ajmsi-1979	153	2	,	,	PUNCT
ajmsi-1979	153	3	the	the	DET
ajmsi-1979	153	4	neurons	neuron	NOUN
ajmsi-1979	153	5	in	in	ADP
ajmsi-1979	153	6	the	the	DET
ajmsi-1979	153	7	input	input	NOUN
ajmsi-1979	153	8	layer	layer	NOUN
ajmsi-1979	153	9	are	be	AUX
ajmsi-1979	153	10	the	the	DET
ajmsi-1979	153	11	same	same	ADJ
ajmsi-1979	153	12	as	as	ADP
ajmsi-1979	153	13	measurement	measurement	NOUN
ajmsi-1979	153	14	variables	variable	NOUN
ajmsi-1979	153	15	for	for	ADP
ajmsi-1979	153	16	pattern	pattern	NOUN
ajmsi-1979	153	17	problems	problem	NOUN
ajmsi-1979	153	18	,	,	PUNCT
ajmsi-1979	153	19	whereas	whereas	SCONJ
ajmsi-1979	153	20	the	the	DET
ajmsi-1979	153	21	number	number	NOUN
ajmsi-1979	153	22	of	of	ADP
ajmsi-1979	153	23	classes	class	NOUN
ajmsi-1979	153	24	equals	equal	VERB
ajmsi-1979	153	25	the	the	DET
ajmsi-1979	153	26	number	number	NOUN
ajmsi-1979	153	27	of	of	ADP
ajmsi-1979	153	28	neurons	neuron	NOUN
ajmsi-1979	153	29	in	in	ADP
ajmsi-1979	153	30	the	the	DET
ajmsi-1979	153	31	output	output	NOUN
ajmsi-1979	153	32	layer	layer	NOUN
ajmsi-1979	153	33	(	(	PUNCT
ajmsi-1979	153	34	ramchoun	ramchoun	NOUN
ajmsi-1979	153	35	et	et	PROPN
ajmsi-1979	153	36	al	al	PROPN
ajmsi-1979	153	37	.	.	PROPN
ajmsi-1979	153	38	,	,	PUNCT
ajmsi-1979	153	39	2016	2016	NUM
ajmsi-1979	153	40	;	;	PUNCT
ajmsi-1979	153	41	singh	singh	PROPN
ajmsi-1979	153	42	et	et	PROPN
ajmsi-1979	153	43	al	al	PROPN
ajmsi-1979	153	44	.	.	PROPN
ajmsi-1979	153	45	,	,	PUNCT
ajmsi-1979	153	46	2018	2018	NUM
ajmsi-1979	153	47	)	)	PUNCT
ajmsi-1979	153	48	.	.	PUNCT
ajmsi-1979	154	1	the	the	DET
ajmsi-1979	154	2	corresponding	corresponding	ADJ
ajmsi-1979	154	3	input	input	NOUN
ajmsi-1979	154	4	generates	generate	VERB
ajmsi-1979	154	5	the	the	DET
ajmsi-1979	154	6	desired	desire	VERB
ajmsi-1979	154	7	output	output	NOUN
ajmsi-1979	154	8	in	in	ADP
ajmsi-1979	154	9	ann	ann	PROPN
ajmsi-1979	154	10	,	,	PUNCT
ajmsi-1979	154	11	and	and	CCONJ
ajmsi-1979	154	12	the	the	DET
ajmsi-1979	154	13	results	result	NOUN
ajmsi-1979	154	14	can	can	AUX
ajmsi-1979	154	15	be	be	AUX
ajmsi-1979	154	16	viewed	view	VERB
ajmsi-1979	154	17	by	by	ADP
ajmsi-1979	154	18	computing	compute	VERB
ajmsi-1979	154	19	the	the	DET
ajmsi-1979	154	20	difference	difference	NOUN
ajmsi-1979	154	21	between	between	ADP
ajmsi-1979	154	22	the	the	DET
ajmsi-1979	154	23	training	training	NOUN
ajmsi-1979	154	24	set	set	NOUN
ajmsi-1979	154	25	’s	’s	PART
ajmsi-1979	154	26	desired	desire	VERB
ajmsi-1979	154	27	output	output	NOUN
ajmsi-1979	154	28	and	and	CCONJ
ajmsi-1979	154	29	the	the	DET
ajmsi-1979	154	30	network	network	NOUN
ajmsi-1979	154	31	’s	’s	PART
ajmsi-1979	154	32	output	output	NOUN
ajmsi-1979	154	33	on	on	ADP
ajmsi-1979	154	34	test	test	NOUN
ajmsi-1979	154	35	data	datum	NOUN
ajmsi-1979	154	36	(	(	PUNCT
ajmsi-1979	154	37	kwon	kwon	PROPN
ajmsi-1979	154	38	et	et	PROPN
ajmsi-1979	154	39	al	al	PROPN
ajmsi-1979	154	40	.	.	PROPN
ajmsi-1979	154	41	,	,	PUNCT
ajmsi-1979	154	42	2017	2017	NUM
ajmsi-1979	154	43	;	;	PUNCT
ajmsi-1979	154	44	singh	singh	PROPN
ajmsi-1979	154	45	et	et	PROPN
ajmsi-1979	154	46	al	al	PROPN
ajmsi-1979	154	47	.	.	PROPN
ajmsi-1979	154	48	,	,	PUNCT
ajmsi-1979	154	49	2018	2018	NUM
ajmsi-1979	154	50	)	)	PUNCT
ajmsi-1979	154	51	.	.	PUNCT
ajmsi-1979	155	1	the	the	DET
ajmsi-1979	155	2	multilayer	multilayer	PROPN
ajmsi-1979	155	3	perceptron	perceptron	PROPN
ajmsi-1979	155	4	is	be	AUX
ajmsi-1979	155	5	the	the	DET
ajmsi-1979	155	6	most	most	ADV
ajmsi-1979	155	7	utilised	utilise	VERB
ajmsi-1979	155	8	form	form	NOUN
ajmsi-1979	155	9	of	of	ADP
ajmsi-1979	155	10	neural	neural	ADJ
ajmsi-1979	155	11	network	network	NOUN
ajmsi-1979	155	12	used	use	VERB
ajmsi-1979	155	13	as	as	ADP
ajmsi-1979	155	14	a	a	DET
ajmsi-1979	155	15	back	back	ADJ
ajmsi-1979	155	16	-	-	PUNCT
ajmsi-1979	155	17	propagation	propagation	NOUN
ajmsi-1979	155	18	training	training	NOUN
ajmsi-1979	155	19	algorithm	algorithm	NOUN
ajmsi-1979	155	20	.	.	PUNCT
ajmsi-1979	156	1	excess	excess	ADJ
ajmsi-1979	156	2	connections	connection	NOUN
ajmsi-1979	156	3	can	can	AUX
ajmsi-1979	156	4	create	create	VERB
ajmsi-1979	156	5	a	a	DET
ajmsi-1979	156	6	problem	problem	NOUN
ajmsi-1979	156	7	of	of	ADP
ajmsi-1979	156	8	overfitting	overfitting	NOUN
ajmsi-1979	156	9	;	;	PUNCT
ajmsi-1979	156	10	however	however	ADV
ajmsi-1979	156	11	,	,	PUNCT
ajmsi-1979	156	12	a	a	DET
ajmsi-1979	156	13	lack	lack	NOUN
ajmsi-1979	156	14	of	of	ADP
ajmsi-1979	156	15	connections	connection	NOUN
ajmsi-1979	156	16	in	in	ADP
ajmsi-1979	156	17	the	the	DET
ajmsi-1979	156	18	neural	neural	ADJ
ajmsi-1979	156	19	network	network	NOUN
ajmsi-1979	156	20	may	may	AUX
ajmsi-1979	156	21	face	face	VERB
ajmsi-1979	156	22	the	the	DET
ajmsi-1979	156	23	problem	problem	NOUN
ajmsi-1979	156	24	of	of	ADP
ajmsi-1979	156	25	insufficient	insufficient	ADJ
ajmsi-1979	156	26	parameters	parameter	NOUN
ajmsi-1979	156	27	(	(	PUNCT
ajmsi-1979	156	28	ramchoun	ramchoun	NOUN
ajmsi-1979	156	29	et	et	PROPN
ajmsi-1979	156	30	al	al	PROPN
ajmsi-1979	156	31	.	.	PROPN
ajmsi-1979	156	32	,	,	PUNCT
ajmsi-1979	156	33	2016	2016	NUM
ajmsi-1979	156	34	)	)	PUNCT
ajmsi-1979	156	35	.	.	PUNCT
ajmsi-1979	157	1	in	in	ADP
ajmsi-1979	157	2	this	this	DET
ajmsi-1979	157	3	research	research	NOUN
ajmsi-1979	157	4	,	,	PUNCT
ajmsi-1979	157	5	the	the	DET
ajmsi-1979	157	6	multilayer	multilayer	PROPN
ajmsi-1979	157	7	perceptron	perceptron	PROPN
ajmsi-1979	157	8	model	model	NOUN
ajmsi-1979	157	9	was	be	AUX
ajmsi-1979	157	10	used	use	VERB
ajmsi-1979	157	11	,	,	PUNCT
ajmsi-1979	157	12	a	a	DET
ajmsi-1979	157	13	feed	feed	NOUN
ajmsi-1979	157	14	-	-	PUNCT
ajmsi-1979	157	15	forward	forward	NOUN
ajmsi-1979	157	16	neural	neural	ADJ
ajmsi-1979	157	17	network	network	NOUN
ajmsi-1979	157	18	model	model	NOUN
ajmsi-1979	157	19	that	that	PRON
ajmsi-1979	157	20	maps	map	VERB
ajmsi-1979	157	21	the	the	DET
ajmsi-1979	157	22	input	input	NOUN
ajmsi-1979	157	23	data	datum	NOUN
ajmsi-1979	157	24	into	into	ADP
ajmsi-1979	157	25	desired	desire	VERB
ajmsi-1979	157	26	or	or	CCONJ
ajmsi-1979	157	27	suitable	suitable	ADJ
ajmsi-1979	157	28	outputs	output	NOUN
ajmsi-1979	157	29	.	.	PUNCT
ajmsi-1979	158	1	the	the	DET
ajmsi-1979	158	2	working	working	NOUN
ajmsi-1979	158	3	of	of	ADP
ajmsi-1979	158	4	the	the	DET
ajmsi-1979	158	5	multilayer	multilayer	ADJ
ajmsi-1979	158	6	perceptron	perceptron	PROPN
ajmsi-1979	158	7	algorithm	algorithm	PROPN
ajmsi-1979	158	8	is	be	AUX
ajmsi-1979	158	9	shown	show	VERB
ajmsi-1979	158	10	in	in	ADP
ajmsi-1979	158	11	figure	figure	NOUN
ajmsi-1979	158	12	6	6	NUM
ajmsi-1979	158	13	.	.	PUNCT
ajmsi-1979	159	1	figure	figure	NOUN
ajmsi-1979	159	2	5	5	NUM
ajmsi-1979	159	3	:	:	PUNCT
ajmsi-1979	159	4	flowchart	flowchart	NOUN
ajmsi-1979	159	5	for	for	ADP
ajmsi-1979	159	6	smo	smo	PROPN
ajmsi-1979	159	7	algorithm	algorithm	PROPN
ajmsi-1979	159	8	smo	smo	PROPN
ajmsi-1979	159	9	is	be	AUX
ajmsi-1979	159	10	generally	generally	ADV
ajmsi-1979	159	11	made	make	VERB
ajmsi-1979	159	12	for	for	ADP
ajmsi-1979	159	13	a	a	DET
ajmsi-1979	159	14	two	two	NUM
ajmsi-1979	159	15	-	-	PUNCT
ajmsi-1979	159	16	class	class	NOUN
ajmsi-1979	159	17	classification	classification	NOUN
ajmsi-1979	159	18	problem	problem	NOUN
ajmsi-1979	159	19	to	to	PART
ajmsi-1979	159	20	analyse	analyse	VERB
ajmsi-1979	159	21	the	the	DET
ajmsi-1979	159	22	greatest	great	ADJ
ajmsi-1979	159	23	separation	separation	NOUN
ajmsi-1979	159	24	between	between	ADP
ajmsi-1979	159	25	two	two	NUM
ajmsi-1979	159	26	classes	class	NOUN
ajmsi-1979	159	27	,	,	PUNCT
ajmsi-1979	159	28	discovering	discover	VERB
ajmsi-1979	159	29	the	the	DET
ajmsi-1979	159	30	maximum	maximum	ADJ
ajmsi-1979	159	31	distance	distance	NOUN
ajmsi-1979	159	32	to	to	ADP
ajmsi-1979	159	33	the	the	DET
ajmsi-1979	159	34	nearby	nearby	ADJ
ajmsi-1979	159	35	point	point	NOUN
ajmsi-1979	159	36	.	.	PUNCT
ajmsi-1979	160	1	it	it	PRON
ajmsi-1979	160	2	has	have	AUX
ajmsi-1979	160	3	also	also	ADV
ajmsi-1979	160	4	been	be	AUX
ajmsi-1979	160	5	studied	study	VERB
ajmsi-1979	160	6	that	that	SCONJ
ajmsi-1979	160	7	svm	svm	ADJ
ajmsi-1979	160	8	algorithms	algorithm	NOUN
ajmsi-1979	160	9	are	be	AUX
ajmsi-1979	160	10	based	base	VERB
ajmsi-1979	160	11	on	on	ADP
ajmsi-1979	160	12	the	the	DET
ajmsi-1979	160	13	advances	advance	NOUN
ajmsi-1979	160	14	of	of	ADP
ajmsi-1979	160	15	the	the	DET
ajmsi-1979	160	16	theory	theory	NOUN
ajmsi-1979	160	17	of	of	ADP
ajmsi-1979	160	18	machine	machine	NOUN
ajmsi-1979	160	19	learning	learn	VERB
ajmsi-1979	160	20	in	in	ADP
ajmsi-1979	160	21	a	a	DET
ajmsi-1979	160	22	high	high	ADJ
ajmsi-1979	160	23	dimensional	dimensional	ADJ
ajmsi-1979	160	24	feature	feature	NOUN
ajmsi-1979	160	25	space	space	NOUN
ajmsi-1979	160	26	that	that	PRON
ajmsi-1979	160	27	uses	use	VERB
ajmsi-1979	160	28	a	a	DET
ajmsi-1979	160	29	hypothesis	hypothesis	NOUN
ajmsi-1979	160	30	space	space	NOUN
ajmsi-1979	160	31	of	of	ADP
ajmsi-1979	160	32	linear	linear	ADJ
ajmsi-1979	160	33	function	function	NOUN
ajmsi-1979	160	34	and	and	CCONJ
ajmsi-1979	160	35	implements	implement	VERB
ajmsi-1979	160	36	a	a	DET
ajmsi-1979	160	37	learning	learn	VERB
ajmsi-1979	160	38	bias	bias	NOUN
ajmsi-1979	160	39	derived	derive	VERB
ajmsi-1979	160	40	from	from	ADP
ajmsi-1979	160	41	statistical	statistical	ADJ
ajmsi-1979	160	42	learning	learning	NOUN
ajmsi-1979	160	43	theory	theory	NOUN
ajmsi-1979	160	44	(	(	PUNCT
ajmsi-1979	160	45	luo	luo	PROPN
ajmsi-1979	160	46	et	et	PROPN
ajmsi-1979	160	47	al	al	PROPN
ajmsi-1979	160	48	.	.	PROPN
ajmsi-1979	160	49	,	,	PUNCT
ajmsi-1979	160	50	2016	2016	NUM
ajmsi-1979	160	51	;	;	PUNCT
ajmsi-1979	160	52	zengin	zengin	VERB
ajmsi-1979	160	53	et	et	NOUN
ajmsi-1979	160	54	al	al	PROPN
ajmsi-1979	160	55	.	.	PROPN
ajmsi-1979	160	56	,	,	PUNCT
ajmsi-1979	160	57	2017	2017	NUM
ajmsi-1979	160	58	)	)	PUNCT
ajmsi-1979	160	59	.	.	PUNCT
ajmsi-1979	161	1	in	in	ADP
ajmsi-1979	161	2	this	this	DET
ajmsi-1979	161	3	research	research	NOUN
ajmsi-1979	161	4	,	,	PUNCT
ajmsi-1979	161	5	a	a	DET
ajmsi-1979	161	6	set	set	NOUN
ajmsi-1979	161	7	of	of	ADP
ajmsi-1979	161	8	training	training	NOUN
ajmsi-1979	161	9	data	datum	NOUN
ajmsi-1979	161	10	figure	figure	NOUN
ajmsi-1979	161	11	5	5	NUM
ajmsi-1979	161	12	:	:	PUNCT
ajmsi-1979	161	13	flowchart	flowchart	NOUN
ajmsi-1979	161	14	for	for	ADP
ajmsi-1979	161	15	smo	smo	PROPN
ajmsi-1979	161	16	algorithm	algorithm	NOUN
ajmsi-1979	161	17	results	result	NOUN
ajmsi-1979	161	18	&	&	CCONJ
ajmsi-1979	161	19	discussion	discussion	NOUN
ajmsi-1979	161	20	j48	j48	PROPN
ajmsi-1979	161	21	decision	decision	NOUN
ajmsi-1979	161	22	tree	tree	NOUN
ajmsi-1979	161	23	the	the	DET
ajmsi-1979	161	24	training	training	NOUN
ajmsi-1979	161	25	data	datum	NOUN
ajmsi-1979	161	26	set	set	VERB
ajmsi-1979	161	27	was	be	AUX
ajmsi-1979	161	28	uploaded	upload	VERB
ajmsi-1979	161	29	on	on	ADP
ajmsi-1979	161	30	weka	weka	PROPN
ajmsi-1979	161	31	explorer	explorer	PROPN
ajmsi-1979	161	32	,	,	PUNCT
ajmsi-1979	161	33	and	and	CCONJ
ajmsi-1979	161	34	after	after	ADP
ajmsi-1979	161	35	applying	apply	VERB
ajmsi-1979	161	36	the	the	DET
ajmsi-1979	161	37	j48	j48	ADJ
ajmsi-1979	161	38	decision	decision	NOUN
ajmsi-1979	161	39	tree	tree	NOUN
ajmsi-1979	161	40	classification	classification	NOUN
ajmsi-1979	161	41	algorithm	algorithm	NOUN
ajmsi-1979	161	42	,	,	PUNCT
ajmsi-1979	161	43	the	the	DET
ajmsi-1979	161	44	results	result	NOUN
ajmsi-1979	161	45	derived	derive	VERB
ajmsi-1979	161	46	are	be	AUX
ajmsi-1979	161	47	shown	show	VERB
ajmsi-1979	161	48	in	in	ADP
ajmsi-1979	161	49	figure	figure	NOUN
ajmsi-1979	161	50	7	7	NUM
ajmsi-1979	161	51	.	.	PUNCT
ajmsi-1979	162	1	pa	pa	PROPN
ajmsi-1979	162	2	ge	ge	PROPN
ajmsi-1979	162	3	10	10	NUM
ajmsi-1979	162	4	3	3	NUM
ajmsi-1979	162	5	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	162	6	am	be	AUX
ajmsi-1979	162	7	.	.	PUNCT
ajmsi-1979	163	1	j.	j.	PROPN
ajmsi-1979	163	2	med	med	PROPN
ajmsi-1979	163	3	.	.	PUNCT
ajmsi-1979	164	1	sci	sci	PROPN
ajmsi-1979	164	2	.	.	PUNCT
ajmsi-1979	164	3	innov	innov	PROPN
ajmsi-1979	164	4	.	.	PUNCT
ajmsi-1979	165	1	2(2	2(2	NUM
ajmsi-1979	165	2	)	)	PUNCT
ajmsi-1979	165	3	97	97	NUM
ajmsi-1979	165	4	-	-	SYM
ajmsi-1979	165	5	109	109	NUM
ajmsi-1979	165	6	,	,	PUNCT
ajmsi-1979	165	7	2023	2023	NUM
ajmsi-1979	165	8	figure	figure	NOUN
ajmsi-1979	165	9	7	7	NUM
ajmsi-1979	165	10	:	:	PUNCT
ajmsi-1979	165	11	j48	j48	ADJ
ajmsi-1979	165	12	decision	decision	NOUN
ajmsi-1979	165	13	tree	tree	NOUN
ajmsi-1979	165	14	the	the	DET
ajmsi-1979	165	15	decision	decision	NOUN
ajmsi-1979	165	16	tree	tree	NOUN
ajmsi-1979	165	17	in	in	ADP
ajmsi-1979	165	18	figure	figure	NOUN
ajmsi-1979	165	19	7	7	NUM
ajmsi-1979	165	20	above	above	ADV
ajmsi-1979	165	21	reflects	reflect	VERB
ajmsi-1979	165	22	the	the	DET
ajmsi-1979	165	23	rules	rule	NOUN
ajmsi-1979	165	24	that	that	PRON
ajmsi-1979	165	25	predicted	predict	VERB
ajmsi-1979	165	26	the	the	DET
ajmsi-1979	165	27	positive	positive	ADJ
ajmsi-1979	165	28	or	or	CCONJ
ajmsi-1979	165	29	negative	negative	ADJ
ajmsi-1979	165	30	risk	risk	NOUN
ajmsi-1979	165	31	of	of	ADP
ajmsi-1979	165	32	having	have	VERB
ajmsi-1979	165	33	thalassemia	thalassemia	NOUN
ajmsi-1979	165	34	traits	trait	NOUN
ajmsi-1979	165	35	in	in	ADP
ajmsi-1979	165	36	the	the	DET
ajmsi-1979	165	37	patient	patient	NOUN
ajmsi-1979	165	38	.	.	PUNCT
ajmsi-1979	166	1	the	the	DET
ajmsi-1979	166	2	tree	tree	NOUN
ajmsi-1979	166	3	size	size	NOUN
ajmsi-1979	166	4	is	be	AUX
ajmsi-1979	166	5	7	7	NUM
ajmsi-1979	166	6	,	,	PUNCT
ajmsi-1979	166	7	whereas	whereas	SCONJ
ajmsi-1979	166	8	the	the	DET
ajmsi-1979	166	9	number	number	NOUN
ajmsi-1979	166	10	of	of	ADP
ajmsi-1979	166	11	leaves	leave	NOUN
ajmsi-1979	166	12	is	be	AUX
ajmsi-1979	166	13	4	4	NUM
ajmsi-1979	166	14	.	.	PUNCT
ajmsi-1979	167	1	the	the	DET
ajmsi-1979	167	2	weka	weka	PROPN
ajmsi-1979	167	3	tool	tool	PROPN
ajmsi-1979	167	4	constructed	construct	VERB
ajmsi-1979	167	5	the	the	DET
ajmsi-1979	167	6	pruned	prune	VERB
ajmsi-1979	167	7	tree	tree	NOUN
ajmsi-1979	167	8	under	under	ADP
ajmsi-1979	167	9	the	the	DET
ajmsi-1979	167	10	conditions	condition	NOUN
ajmsi-1979	167	11	stated	state	VERB
ajmsi-1979	167	12	in	in	ADP
ajmsi-1979	167	13	figure	figure	NOUN
ajmsi-1979	167	14	8	8	NUM
ajmsi-1979	167	15	.	.	PUNCT
ajmsi-1979	167	16	based	base	VERB
ajmsi-1979	167	17	on	on	ADP
ajmsi-1979	167	18	the	the	DET
ajmsi-1979	167	19	j48	j48	PROPN
ajmsi-1979	167	20	decision	decision	NOUN
ajmsi-1979	167	21	tree	tree	NOUN
ajmsi-1979	167	22	results	result	NOUN
ajmsi-1979	167	23	per	per	ADP
ajmsi-1979	167	24	the	the	DET
ajmsi-1979	167	25	trained	train	VERB
ajmsi-1979	167	26	model	model	NOUN
ajmsi-1979	167	27	,	,	PUNCT
ajmsi-1979	167	28	rules	rule	NOUN
ajmsi-1979	167	29	and	and	CCONJ
ajmsi-1979	167	30	decisions	decision	NOUN
ajmsi-1979	167	31	are	be	AUX
ajmsi-1979	167	32	listed	list	VERB
ajmsi-1979	167	33	below	below	ADP
ajmsi-1979	167	34	in	in	ADP
ajmsi-1979	167	35	table	table	NOUN
ajmsi-1979	167	36	3	3	NUM
ajmsi-1979	167	37	.	.	PUNCT
ajmsi-1979	168	1	the	the	DET
ajmsi-1979	168	2	results	result	NOUN
ajmsi-1979	168	3	were	be	AUX
ajmsi-1979	168	4	derived	derive	VERB
ajmsi-1979	168	5	by	by	ADP
ajmsi-1979	168	6	showing	show	VERB
ajmsi-1979	168	7	the	the	DET
ajmsi-1979	168	8	status	status	NOUN
ajmsi-1979	168	9	of	of	ADP
ajmsi-1979	168	10	cbc	cbc	PROPN
ajmsi-1979	168	11	test	test	NOUN
ajmsi-1979	168	12	results	result	NOUN
ajmsi-1979	168	13	as	as	ADP
ajmsi-1979	168	14	positive	positive	ADJ
ajmsi-1979	168	15	(	(	PUNCT
ajmsi-1979	168	16	persons	person	NOUN
ajmsi-1979	168	17	having	have	VERB
ajmsi-1979	168	18	traits	trait	NOUN
ajmsi-1979	168	19	of	of	ADP
ajmsi-1979	168	20	thalassemia	thalassemia	NOUN
ajmsi-1979	168	21	)	)	PUNCT
ajmsi-1979	168	22	or	or	CCONJ
ajmsi-1979	168	23	negative	negative	ADJ
ajmsi-1979	168	24	(	(	PUNCT
ajmsi-1979	168	25	normal	normal	ADJ
ajmsi-1979	168	26	)	)	PUNCT
ajmsi-1979	168	27	.	.	PUNCT
ajmsi-1979	169	1	there	there	PRON
ajmsi-1979	169	2	are	be	VERB
ajmsi-1979	169	3	different	different	ADJ
ajmsi-1979	169	4	parameters	parameter	NOUN
ajmsi-1979	169	5	based	base	VERB
ajmsi-1979	169	6	on	on	ADP
ajmsi-1979	169	7	which	which	PRON
ajmsi-1979	169	8	the	the	DET
ajmsi-1979	169	9	accuracy	accuracy	NOUN
ajmsi-1979	169	10	of	of	ADP
ajmsi-1979	169	11	the	the	DET
ajmsi-1979	169	12	results	result	NOUN
ajmsi-1979	169	13	is	be	AUX
ajmsi-1979	169	14	defined	define	VERB
ajmsi-1979	169	15	stated	state	VERB
ajmsi-1979	169	16	below	below	ADP
ajmsi-1979	169	17	:	:	PUNCT
ajmsi-1979	169	18	relative	relative	ADJ
ajmsi-1979	169	19	absolute	absolute	ADJ
ajmsi-1979	169	20	error	error	NOUN
ajmsi-1979	169	21	:	:	PUNCT
ajmsi-1979	169	22	it	it	PRON
ajmsi-1979	169	23	is	be	AUX
ajmsi-1979	169	24	the	the	DET
ajmsi-1979	169	25	way	way	NOUN
ajmsi-1979	169	26	that	that	PRON
ajmsi-1979	169	27	provides	provide	VERB
ajmsi-1979	169	28	the	the	DET
ajmsi-1979	169	29	measure	measure	NOUN
ajmsi-1979	169	30	of	of	ADP
ajmsi-1979	169	31	the	the	DET
ajmsi-1979	169	32	performance	performance	NOUN
ajmsi-1979	169	33	of	of	ADP
ajmsi-1979	169	34	a	a	DET
ajmsi-1979	169	35	trained	train	VERB
ajmsi-1979	169	36	or	or	CCONJ
ajmsi-1979	169	37	predictive	predictive	ADJ
ajmsi-1979	169	38	model	model	NOUN
ajmsi-1979	169	39	used	use	VERB
ajmsi-1979	169	40	in	in	ADP
ajmsi-1979	169	41	data	data	NOUN
ajmsi-1979	169	42	mining	mining	NOUN
ajmsi-1979	169	43	and	and	CCONJ
ajmsi-1979	169	44	machine	machine	NOUN
ajmsi-1979	169	45	learning	learning	NOUN
ajmsi-1979	169	46	.	.	PUNCT
ajmsi-1979	170	1	it	it	PRON
ajmsi-1979	170	2	is	be	AUX
ajmsi-1979	170	3	a	a	DET
ajmsi-1979	170	4	general	general	ADJ
ajmsi-1979	170	5	measure	measure	NOUN
ajmsi-1979	170	6	of	of	ADP
ajmsi-1979	170	7	accuracy	accuracy	NOUN
ajmsi-1979	170	8	or	or	CCONJ
ajmsi-1979	170	9	precision	precision	NOUN
ajmsi-1979	170	10	expressed	express	VERB
ajmsi-1979	170	11	as	as	ADP
ajmsi-1979	170	12	a	a	DET
ajmsi-1979	170	13	ratio	ratio	NOUN
ajmsi-1979	170	14	as	as	ADP
ajmsi-1979	170	15	a	a	DET
ajmsi-1979	170	16	result	result	NOUN
ajmsi-1979	170	17	of	of	ADP
ajmsi-1979	170	18	comparing	compare	VERB
ajmsi-1979	170	19	a	a	DET
ajmsi-1979	170	20	mean	mean	ADJ
ajmsi-1979	170	21	error	error	NOUN
ajmsi-1979	170	22	to	to	ADP
ajmsi-1979	170	23	errors	error	NOUN
ajmsi-1979	170	24	produced	produce	VERB
ajmsi-1979	170	25	by	by	ADP
ajmsi-1979	170	26	the	the	DET
ajmsi-1979	170	27	naïve	naïve	ADJ
ajmsi-1979	170	28	model	model	NOUN
ajmsi-1979	170	29	(	(	PUNCT
ajmsi-1979	170	30	iyer	iyer	PROPN
ajmsi-1979	170	31	et	et	PROPN
ajmsi-1979	170	32	al	al	PROPN
ajmsi-1979	170	33	.	.	PROPN
ajmsi-1979	170	34	,	,	PUNCT
ajmsi-1979	170	35	2015	2015	NUM
ajmsi-1979	170	36	)	)	PUNCT
ajmsi-1979	170	37	.	.	PUNCT
ajmsi-1979	171	1	confusion	confusion	NOUN
ajmsi-1979	171	2	matrix	matrix	NOUN
ajmsi-1979	171	3	the	the	DET
ajmsi-1979	171	4	performance	performance	NOUN
ajmsi-1979	171	5	of	of	ADP
ajmsi-1979	171	6	a	a	DET
ajmsi-1979	171	7	classification	classification	NOUN
ajmsi-1979	171	8	model	model	NOUN
ajmsi-1979	171	9	is	be	AUX
ajmsi-1979	171	10	described	describe	VERB
ajmsi-1979	171	11	by	by	ADP
ajmsi-1979	171	12	the	the	DET
ajmsi-1979	171	13	confusion	confusion	NOUN
ajmsi-1979	171	14	matrix	matrix	NOUN
ajmsi-1979	171	15	on	on	ADP
ajmsi-1979	171	16	test	test	NOUN
ajmsi-1979	171	17	data	datum	NOUN
ajmsi-1979	171	18	by	by	ADP
ajmsi-1979	171	19	trained	train	VERB
ajmsi-1979	171	20	data	datum	NOUN
ajmsi-1979	171	21	for	for	ADP
ajmsi-1979	171	22	which	which	PRON
ajmsi-1979	171	23	true	true	ADJ
ajmsi-1979	171	24	values	value	NOUN
ajmsi-1979	171	25	are	be	AUX
ajmsi-1979	171	26	known	know	VERB
ajmsi-1979	171	27	(	(	PUNCT
ajmsi-1979	171	28	singh	singh	PROPN
ajmsi-1979	171	29	et	et	PROPN
ajmsi-1979	171	30	al	al	PROPN
ajmsi-1979	171	31	.	.	PROPN
ajmsi-1979	171	32	,	,	PUNCT
ajmsi-1979	171	33	2018	2018	NUM
ajmsi-1979	171	34	)	)	PUNCT
ajmsi-1979	171	35	.	.	PUNCT
ajmsi-1979	172	1	besides	besides	SCONJ
ajmsi-1979	172	2	,	,	PUNCT
ajmsi-1979	172	3	to	to	PART
ajmsi-1979	172	4	measure	measure	VERB
ajmsi-1979	172	5	the	the	DET
ajmsi-1979	172	6	effectiveness	effectiveness	NOUN
ajmsi-1979	172	7	of	of	ADP
ajmsi-1979	172	8	the	the	DET
ajmsi-1979	172	9	classification	classification	NOUN
ajmsi-1979	172	10	model	model	NOUN
ajmsi-1979	172	11	confusion	confusion	NOUN
ajmsi-1979	172	12	matrix	matrix	NOUN
ajmsi-1979	172	13	presents	present	VERB
ajmsi-1979	172	14	different	different	ADJ
ajmsi-1979	172	15	combinations	combination	NOUN
ajmsi-1979	172	16	of	of	ADP
ajmsi-1979	172	17	actual	actual	ADJ
ajmsi-1979	172	18	or	or	CCONJ
ajmsi-1979	172	19	predicted	predict	VERB
ajmsi-1979	172	20	values	value	NOUN
ajmsi-1979	172	21	.	.	PUNCT
ajmsi-1979	173	1	the	the	DET
ajmsi-1979	173	2	four	four	NUM
ajmsi-1979	173	3	entries	entry	NOUN
ajmsi-1979	173	4	of	of	ADP
ajmsi-1979	173	5	the	the	DET
ajmsi-1979	173	6	confusion	confusion	NOUN
ajmsi-1979	173	7	matrix	matrix	NOUN
ajmsi-1979	173	8	are	be	AUX
ajmsi-1979	173	9	defined	define	VERB
ajmsi-1979	173	10	below	below	ADP
ajmsi-1979	173	11	:	:	PUNCT
ajmsi-1979	173	12	tp	tp	PART
ajmsi-1979	173	13	rate	rate	NOUN
ajmsi-1979	173	14	:	:	PUNCT
ajmsi-1979	173	15	the	the	DET
ajmsi-1979	173	16	number	number	NOUN
ajmsi-1979	173	17	of	of	ADP
ajmsi-1979	173	18	entries/	entries/	NUM
ajmsi-1979	173	19	records	record	NOUN
ajmsi-1979	173	20	classified	classify	VERB
ajmsi-1979	173	21	as	as	ADP
ajmsi-1979	173	22	true	true	ADJ
ajmsi-1979	173	23	and	and	CCONJ
ajmsi-1979	173	24	true	true	ADJ
ajmsi-1979	173	25	in	in	ADP
ajmsi-1979	173	26	actuality	actuality	NOUN
ajmsi-1979	173	27	represents	represent	VERB
ajmsi-1979	173	28	the	the	DET
ajmsi-1979	173	29	true	true	ADJ
ajmsi-1979	173	30	positive	positive	ADJ
ajmsi-1979	173	31	rate	rate	NOUN
ajmsi-1979	173	32	(	(	PUNCT
ajmsi-1979	173	33	singh	singh	PROPN
ajmsi-1979	173	34	et	et	PROPN
ajmsi-1979	173	35	al	al	PROPN
ajmsi-1979	173	36	.	.	PROPN
ajmsi-1979	173	37	,	,	PUNCT
ajmsi-1979	173	38	2018	2018	NUM
ajmsi-1979	173	39	)	)	PUNCT
ajmsi-1979	173	40	.	.	PUNCT
ajmsi-1979	174	1	fp	fp	NOUN
ajmsi-1979	174	2	rate	rate	NOUN
ajmsi-1979	174	3	:	:	PUNCT
ajmsi-1979	174	4	the	the	DET
ajmsi-1979	174	5	number	number	NOUN
ajmsi-1979	174	6	of	of	ADP
ajmsi-1979	174	7	entries/	entries/	NUM
ajmsi-1979	174	8	records	record	NOUN
ajmsi-1979	174	9	classified	classify	VERB
ajmsi-1979	174	10	as	as	ADP
ajmsi-1979	174	11	true	true	ADJ
ajmsi-1979	174	12	and	and	CCONJ
ajmsi-1979	174	13	false	false	ADJ
ajmsi-1979	174	14	in	in	ADP
ajmsi-1979	174	15	actual	actual	ADJ
ajmsi-1979	174	16	represents	represent	VERB
ajmsi-1979	174	17	the	the	DET
ajmsi-1979	174	18	false	false	ADJ
ajmsi-1979	174	19	positive	positive	ADJ
ajmsi-1979	174	20	rate	rate	NOUN
ajmsi-1979	174	21	(	(	PUNCT
ajmsi-1979	174	22	singh	singh	PROPN
ajmsi-1979	174	23	et	et	PROPN
ajmsi-1979	174	24	al	al	PROPN
ajmsi-1979	174	25	.	.	PROPN
ajmsi-1979	174	26	,	,	PUNCT
ajmsi-1979	174	27	2018	2018	NUM
ajmsi-1979	174	28	)	)	PUNCT
ajmsi-1979	174	29	.	.	PUNCT
ajmsi-1979	175	1	fn	fn	NOUN
ajmsi-1979	175	2	rate	rate	NOUN
ajmsi-1979	175	3	:	:	PUNCT
ajmsi-1979	175	4	the	the	DET
ajmsi-1979	175	5	number	number	NOUN
ajmsi-1979	175	6	of	of	ADP
ajmsi-1979	175	7	entries/	entries/	NUM
ajmsi-1979	175	8	records	record	NOUN
ajmsi-1979	175	9	classified	classify	VERB
ajmsi-1979	175	10	as	as	ADP
ajmsi-1979	175	11	false	false	ADJ
ajmsi-1979	175	12	and	and	CCONJ
ajmsi-1979	175	13	where	where	SCONJ
ajmsi-1979	175	14	they	they	PRON
ajmsi-1979	175	15	were	be	AUX
ajmsi-1979	175	16	true	true	ADJ
ajmsi-1979	175	17	in	in	ADP
ajmsi-1979	175	18	actual	actual	ADJ
ajmsi-1979	175	19	represents	represent	VERB
ajmsi-1979	175	20	the	the	DET
ajmsi-1979	175	21	false	false	ADJ
ajmsi-1979	175	22	-	-	PUNCT
ajmsi-1979	175	23	negative	negative	ADJ
ajmsi-1979	175	24	rate	rate	NOUN
ajmsi-1979	175	25	(	(	PUNCT
ajmsi-1979	175	26	singh	singh	PROPN
ajmsi-1979	175	27	et	et	PROPN
ajmsi-1979	175	28	al	al	PROPN
ajmsi-1979	175	29	.	.	PROPN
ajmsi-1979	175	30	,	,	PUNCT
ajmsi-1979	175	31	2018	2018	NUM
ajmsi-1979	175	32	)	)	PUNCT
ajmsi-1979	175	33	.	.	PUNCT
ajmsi-1979	176	1	tn	tn	NOUN
ajmsi-1979	176	2	rate	rate	NOUN
ajmsi-1979	176	3	:	:	PUNCT
ajmsi-1979	176	4	the	the	DET
ajmsi-1979	176	5	number	number	NOUN
ajmsi-1979	176	6	of	of	ADP
ajmsi-1979	176	7	entries	entry	NOUN
ajmsi-1979	176	8	/	/	SYM
ajmsi-1979	176	9	records	record	NOUN
ajmsi-1979	176	10	classified	classify	VERB
ajmsi-1979	176	11	as	as	ADP
ajmsi-1979	176	12	false	false	ADJ
ajmsi-1979	176	13	and	and	CCONJ
ajmsi-1979	176	14	were	be	AUX
ajmsi-1979	176	15	false	false	ADJ
ajmsi-1979	176	16	in	in	ADP
ajmsi-1979	176	17	actual	actual	ADJ
ajmsi-1979	176	18	represents	represent	VERB
ajmsi-1979	176	19	the	the	DET
ajmsi-1979	176	20	true	true	ADJ
ajmsi-1979	176	21	negative	negative	ADJ
ajmsi-1979	176	22	rate	rate	NOUN
ajmsi-1979	176	23	(	(	PUNCT
ajmsi-1979	176	24	singh	singh	PROPN
ajmsi-1979	176	25	et	et	PROPN
ajmsi-1979	176	26	al	al	PROPN
ajmsi-1979	176	27	.	.	PROPN
ajmsi-1979	176	28	,	,	PUNCT
ajmsi-1979	176	29	2018	2018	NUM
ajmsi-1979	176	30	)	)	PUNCT
ajmsi-1979	176	31	.	.	PUNCT
ajmsi-1979	177	1	accuracy	accuracy	NOUN
ajmsi-1979	177	2	:	:	PUNCT
ajmsi-1979	177	3	it	it	PRON
ajmsi-1979	177	4	is	be	AUX
ajmsi-1979	177	5	the	the	DET
ajmsi-1979	177	6	ratio	ratio	NOUN
ajmsi-1979	177	7	of	of	ADP
ajmsi-1979	177	8	the	the	DET
ajmsi-1979	177	9	number	number	NOUN
ajmsi-1979	177	10	of	of	ADP
ajmsi-1979	177	11	correct	correct	ADJ
ajmsi-1979	177	12	predictions	prediction	NOUN
ajmsi-1979	177	13	to	to	ADP
ajmsi-1979	177	14	the	the	DET
ajmsi-1979	177	15	total	total	ADJ
ajmsi-1979	177	16	number	number	NOUN
ajmsi-1979	177	17	of	of	ADP
ajmsi-1979	177	18	predictions	prediction	NOUN
ajmsi-1979	177	19	(	(	PUNCT
ajmsi-1979	177	20	wang	wang	PROPN
ajmsi-1979	177	21	&	&	CCONJ
ajmsi-1979	177	22	li	li	PROPN
ajmsi-1979	177	23	,	,	PUNCT
ajmsi-1979	177	24	2019	2019	NUM
ajmsi-1979	177	25	)	)	PUNCT
ajmsi-1979	177	26	.	.	PUNCT
ajmsi-1979	178	1	figure	figure	VERB
ajmsi-1979	178	2	8	8	NUM
ajmsi-1979	178	3	:	:	PUNCT
ajmsi-1979	178	4	decision	decision	NOUN
ajmsi-1979	178	5	tree	tree	NOUN
ajmsi-1979	178	6	rules	rule	NOUN
ajmsi-1979	178	7	table	table	VERB
ajmsi-1979	178	8	3	3	NUM
ajmsi-1979	178	9	:	:	PUNCT
ajmsi-1979	178	10	thalassemia	thalassemia	NOUN
ajmsi-1979	178	11	classification	classification	NOUN
ajmsi-1979	178	12	rules	rule	NOUN
ajmsi-1979	178	13	rules	rule	VERB
ajmsi-1979	178	14	decision	decision	NOUN
ajmsi-1979	178	15	if	if	SCONJ
ajmsi-1979	178	16	(	(	PUNCT
ajmsi-1979	178	17	mcv	mcv	PROPN
ajmsi-1979	178	18	>	>	X
ajmsi-1979	178	19	78.3	78.3	NUM
ajmsi-1979	178	20	)	)	PUNCT
ajmsi-1979	178	21	then	then	ADV
ajmsi-1979	178	22	,	,	PUNCT
ajmsi-1979	178	23	negative	negative	ADJ
ajmsi-1979	178	24	else	else	ADV
ajmsi-1979	179	1	if	if	SCONJ
ajmsi-1979	179	2	(	(	PUNCT
ajmsi-1979	179	3	mcv	mcv	NOUN
ajmsi-1979	179	4	<	<	X
ajmsi-1979	179	5	=	=	PROPN
ajmsi-1979	179	6	78.3	78.3	NUM
ajmsi-1979	179	7	and	and	CCONJ
ajmsi-1979	179	8	and	and	CCONJ
ajmsi-1979	179	9	rdw	rdw	X
ajmsi-1979	179	10	>	>	X
ajmsi-1979	179	11	14.3	14.3	NUM
ajmsi-1979	179	12	)	)	PUNCT
ajmsi-1979	179	13	then	then	ADV
ajmsi-1979	179	14	,	,	PUNCT
ajmsi-1979	179	15	positive	positive	ADJ
ajmsi-1979	179	16	else	else	ADV
ajmsi-1979	179	17	if	if	SCONJ
ajmsi-1979	179	18	(	(	PUNCT
ajmsi-1979	179	19	mcv	mcv	NOUN
ajmsi-1979	179	20	<	<	X
ajmsi-1979	179	21	=	=	PROPN
ajmsi-1979	179	22	78.3	78.3	NUM
ajmsi-1979	179	23	and	and	CCONJ
ajmsi-1979	179	24	and	and	CCONJ
ajmsi-1979	179	25	rdw	rdw	X
ajmsi-1979	179	26	<	<	X
ajmsi-1979	179	27	=	=	X
ajmsi-1979	179	28	14.3	14.3	NUM
ajmsi-1979	179	29	and	and	CCONJ
ajmsi-1979	179	30	mchc	mchc	NOUN
ajmsi-1979	179	31	>	>	X
ajmsi-1979	179	32	31.7	31.7	NUM
ajmsi-1979	179	33	)	)	PUNCT
ajmsi-1979	179	34	then	then	ADV
ajmsi-1979	179	35	,	,	PUNCT
ajmsi-1979	179	36	negative	negative	ADJ
ajmsi-1979	179	37	else	else	ADV
ajmsi-1979	179	38	if	if	SCONJ
ajmsi-1979	179	39	(	(	PUNCT
ajmsi-1979	179	40	mcv	mcv	NOUN
ajmsi-1979	179	41	<	<	X
ajmsi-1979	179	42	=	=	PROPN
ajmsi-1979	179	43	78.3	78.3	NUM
ajmsi-1979	179	44	and	and	CCONJ
ajmsi-1979	179	45	and	and	CCONJ
ajmsi-1979	179	46	rdw	rdw	X
ajmsi-1979	179	47	<	<	X
ajmsi-1979	179	48	=	=	X
ajmsi-1979	179	49	14.3	14.3	NUM
ajmsi-1979	179	50	and	and	CCONJ
ajmsi-1979	179	51	mchc	mchc	NOUN
ajmsi-1979	179	52	<	<	X
ajmsi-1979	179	53	=	=	PROPN
ajmsi-1979	179	54	31.7	31.7	NUM
ajmsi-1979	179	55	)	)	PUNCT
ajmsi-1979	179	56	then	then	ADV
ajmsi-1979	179	57	,	,	PUNCT
ajmsi-1979	179	58	positive	positive	ADJ
ajmsi-1979	179	59	precision	precision	NOUN
ajmsi-1979	179	60	:	:	PUNCT
ajmsi-1979	179	61	it	it	PRON
ajmsi-1979	179	62	analyses	analyse	VERB
ajmsi-1979	179	63	how	how	SCONJ
ajmsi-1979	179	64	many	many	ADJ
ajmsi-1979	179	65	are	be	AUX
ajmsi-1979	179	66	actually	actually	ADV
ajmsi-1979	179	67	positive	positive	ADJ
ajmsi-1979	179	68	out	out	ADP
ajmsi-1979	179	69	of	of	ADP
ajmsi-1979	179	70	all	all	DET
ajmsi-1979	179	71	the	the	DET
ajmsi-1979	179	72	correctly	correctly	ADV
ajmsi-1979	179	73	predicted	predict	VERB
ajmsi-1979	179	74	positive	positive	ADJ
ajmsi-1979	179	75	classes	class	NOUN
ajmsi-1979	179	76	(	(	PUNCT
ajmsi-1979	179	77	alam	alam	PROPN
ajmsi-1979	179	78	et	et	PROPN
ajmsi-1979	179	79	al	al	PROPN
ajmsi-1979	179	80	.	.	PROPN
ajmsi-1979	179	81	,	,	PUNCT
ajmsi-1979	179	82	2022	2022	NUM
ajmsi-1979	179	83	;	;	PUNCT
ajmsi-1979	179	84	wang	wang	PROPN
ajmsi-1979	179	85	&	&	CCONJ
ajmsi-1979	179	86	li	li	PROPN
ajmsi-1979	179	87	,	,	PUNCT
ajmsi-1979	179	88	2019	2019	NUM
ajmsi-1979	179	89	)	)	PUNCT
ajmsi-1979	179	90	.	.	PUNCT
ajmsi-1979	180	1	pa	pa	PROPN
ajmsi-1979	180	2	ge	ge	PROPN
ajmsi-1979	180	3	10	10	NUM
ajmsi-1979	180	4	4	4	NUM
ajmsi-1979	180	5	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	NOUN
ajmsi-1979	180	6	am	be	AUX
ajmsi-1979	180	7	.	.	PUNCT
ajmsi-1979	181	1	j.	j.	PROPN
ajmsi-1979	181	2	med	med	PROPN
ajmsi-1979	181	3	.	.	PUNCT
ajmsi-1979	182	1	sci	sci	PROPN
ajmsi-1979	182	2	.	.	PUNCT
ajmsi-1979	182	3	innov	innov	PROPN
ajmsi-1979	182	4	.	.	PUNCT
ajmsi-1979	183	1	2(2	2(2	NUM
ajmsi-1979	183	2	)	)	PUNCT
ajmsi-1979	183	3	97	97	NUM
ajmsi-1979	183	4	-	-	SYM
ajmsi-1979	183	5	109	109	NUM
ajmsi-1979	183	6	,	,	PUNCT
ajmsi-1979	183	7	2023	2023	NUM
ajmsi-1979	183	8	recall	recall	NOUN
ajmsi-1979	183	9	:	:	PUNCT
ajmsi-1979	183	10	it	it	PRON
ajmsi-1979	183	11	is	be	AUX
ajmsi-1979	183	12	also	also	ADV
ajmsi-1979	183	13	known	know	VERB
ajmsi-1979	183	14	as	as	ADP
ajmsi-1979	183	15	the	the	DET
ajmsi-1979	183	16	probability	probability	NOUN
ajmsi-1979	183	17	of	of	ADP
ajmsi-1979	183	18	detection	detection	NOUN
ajmsi-1979	183	19	,	,	PUNCT
ajmsi-1979	183	20	sensitivity	sensitivity	NOUN
ajmsi-1979	183	21	,	,	PUNCT
ajmsi-1979	183	22	or	or	CCONJ
ajmsi-1979	183	23	tp	tp	AUX
ajmsi-1979	183	24	rate	rate	NOUN
ajmsi-1979	183	25	and	and	CCONJ
ajmsi-1979	183	26	detect	detect	VERB
ajmsi-1979	183	27	how	how	SCONJ
ajmsi-1979	183	28	much	much	ADJ
ajmsi-1979	183	29	were	be	AUX
ajmsi-1979	183	30	correctly	correctly	ADV
ajmsi-1979	183	31	predicted	predict	VERB
ajmsi-1979	183	32	out	out	ADP
ajmsi-1979	183	33	of	of	ADP
ajmsi-1979	183	34	all	all	DET
ajmsi-1979	183	35	positive	positive	ADJ
ajmsi-1979	183	36	classes	class	NOUN
ajmsi-1979	183	37	(	(	PUNCT
ajmsi-1979	183	38	alam	alam	PROPN
ajmsi-1979	183	39	et	et	PROPN
ajmsi-1979	183	40	al	al	PROPN
ajmsi-1979	183	41	.	.	PROPN
ajmsi-1979	183	42	,	,	PUNCT
ajmsi-1979	183	43	2022	2022	NUM
ajmsi-1979	183	44	;	;	PUNCT
ajmsi-1979	183	45	wang	wang	PROPN
ajmsi-1979	183	46	&	&	CCONJ
ajmsi-1979	183	47	li	li	PROPN
ajmsi-1979	183	48	,	,	PUNCT
ajmsi-1979	183	49	2019	2019	NUM
ajmsi-1979	183	50	)	)	PUNCT
ajmsi-1979	183	51	.	.	PUNCT
ajmsi-1979	184	1	f	f	X
ajmsi-1979	184	2	-	-	PUNCT
ajmsi-1979	184	3	measure	measure	NOUN
ajmsi-1979	184	4	:	:	PUNCT
ajmsi-1979	184	5	the	the	DET
ajmsi-1979	184	6	weighted	weighted	ADJ
ajmsi-1979	184	7	average	average	NOUN
ajmsi-1979	184	8	of	of	ADP
ajmsi-1979	184	9	recall	recall	NOUN
ajmsi-1979	184	10	and	and	CCONJ
ajmsi-1979	184	11	precision	precision	NOUN
ajmsi-1979	184	12	is	be	AUX
ajmsi-1979	184	13	known	know	VERB
ajmsi-1979	184	14	as	as	ADP
ajmsi-1979	184	15	f	f	NOUN
ajmsi-1979	184	16	-	-	PUNCT
ajmsi-1979	184	17	measure	measure	NOUN
ajmsi-1979	184	18	(	(	PUNCT
ajmsi-1979	184	19	alam	alam	PROPN
ajmsi-1979	184	20	et	et	PROPN
ajmsi-1979	184	21	al	al	PROPN
ajmsi-1979	184	22	.	.	PROPN
ajmsi-1979	184	23	,	,	PUNCT
ajmsi-1979	184	24	2022	2022	NUM
ajmsi-1979	184	25	;	;	PUNCT
ajmsi-1979	184	26	wang	wang	PROPN
ajmsi-1979	184	27	&	&	CCONJ
ajmsi-1979	184	28	li	li	PROPN
ajmsi-1979	184	29	,	,	PUNCT
ajmsi-1979	184	30	2019	2019	NUM
ajmsi-1979	184	31	)	)	PUNCT
ajmsi-1979	184	32	.	.	PUNCT
ajmsi-1979	185	1	validation	validation	NOUN
ajmsi-1979	185	2	.	.	PUNCT
ajmsi-1979	186	1	the	the	DET
ajmsi-1979	186	2	rate	rate	NOUN
ajmsi-1979	186	3	of	of	ADP
ajmsi-1979	186	4	correctly	correctly	ADV
ajmsi-1979	186	5	classified	classified	ADJ
ajmsi-1979	186	6	instances	instance	NOUN
ajmsi-1979	186	7	was	be	AUX
ajmsi-1979	186	8	97	97	NUM
ajmsi-1979	186	9	%	%	NOUN
ajmsi-1979	186	10	,	,	PUNCT
ajmsi-1979	186	11	whereas	whereas	SCONJ
ajmsi-1979	186	12	the	the	DET
ajmsi-1979	186	13	rate	rate	NOUN
ajmsi-1979	186	14	for	for	ADP
ajmsi-1979	186	15	incorrectly	incorrectly	ADV
ajmsi-1979	186	16	classified	classified	ADJ
ajmsi-1979	186	17	instances	instance	NOUN
ajmsi-1979	186	18	was	be	AUX
ajmsi-1979	186	19	6	6	NUM
ajmsi-1979	186	20	%	%	NOUN
ajmsi-1979	186	21	.	.	PUNCT
ajmsi-1979	187	1	the	the	DET
ajmsi-1979	187	2	relative	relative	ADJ
ajmsi-1979	187	3	absolute	absolute	ADJ
ajmsi-1979	187	4	error	error	NOUN
ajmsi-1979	187	5	of	of	ADP
ajmsi-1979	187	6	the	the	DET
ajmsi-1979	187	7	model	model	NOUN
ajmsi-1979	187	8	was	be	AUX
ajmsi-1979	187	9	computed	compute	VERB
ajmsi-1979	187	10	as	as	ADP
ajmsi-1979	187	11	7.4438	7.4438	NUM
ajmsi-1979	187	12	%	%	NOUN
ajmsi-1979	187	13	.	.	PUNCT
ajmsi-1979	188	1	the	the	DET
ajmsi-1979	188	2	detailed	detailed	ADJ
ajmsi-1979	188	3	accuracy	accuracy	NOUN
ajmsi-1979	188	4	of	of	ADP
ajmsi-1979	188	5	the	the	DET
ajmsi-1979	188	6	model	model	NOUN
ajmsi-1979	188	7	by	by	ADP
ajmsi-1979	188	8	class	class	NOUN
ajmsi-1979	188	9	is	be	AUX
ajmsi-1979	188	10	depicted	depict	VERB
ajmsi-1979	188	11	in	in	ADP
ajmsi-1979	188	12	the	the	DET
ajmsi-1979	188	13	form	form	NOUN
ajmsi-1979	188	14	of	of	ADP
ajmsi-1979	188	15	tp	tp	NOUN
ajmsi-1979	188	16	rate	rate	NOUN
ajmsi-1979	188	17	,	,	PUNCT
ajmsi-1979	188	18	fp	fp	ADJ
ajmsi-1979	188	19	rate	rate	NOUN
ajmsi-1979	188	20	,	,	PUNCT
ajmsi-1979	188	21	precision	precision	NOUN
ajmsi-1979	188	22	,	,	PUNCT
ajmsi-1979	188	23	recall	recall	NOUN
ajmsi-1979	188	24	and	and	CCONJ
ajmsi-1979	188	25	f	f	NOUN
ajmsi-1979	188	26	-	-	PUNCT
ajmsi-1979	188	27	measure	measure	NOUN
ajmsi-1979	188	28	.	.	PUNCT
ajmsi-1979	189	1	the	the	DET
ajmsi-1979	189	2	confusion	confusion	NOUN
ajmsi-1979	189	3	matrix	matrix	NOUN
ajmsi-1979	189	4	in	in	ADP
ajmsi-1979	189	5	figure	figure	NOUN
ajmsi-1979	189	6	10	10	NUM
ajmsi-1979	189	7	represents	represent	VERB
ajmsi-1979	189	8	that	that	SCONJ
ajmsi-1979	189	9	the	the	DET
ajmsi-1979	189	10	instances	instance	NOUN
ajmsi-1979	189	11	classified	classify	VERB
ajmsi-1979	189	12	as	as	ADP
ajmsi-1979	189	13	positive	positive	ADJ
ajmsi-1979	189	14	are	be	AUX
ajmsi-1979	189	15	117	117	NUM
ajmsi-1979	189	16	(	(	PUNCT
ajmsi-1979	189	17	tp	tp	NOUN
ajmsi-1979	189	18	)	)	PUNCT
ajmsi-1979	189	19	,	,	PUNCT
ajmsi-1979	189	20	whereas	whereas	SCONJ
ajmsi-1979	189	21	77	77	NUM
ajmsi-1979	189	22	(	(	PUNCT
ajmsi-1979	189	23	tn	tn	NOUN
ajmsi-1979	189	24	)	)	PUNCT
ajmsi-1979	189	25	were	be	AUX
ajmsi-1979	189	26	classified	classify	VERB
ajmsi-1979	189	27	as	as	ADP
ajmsi-1979	189	28	negative	negative	ADJ
ajmsi-1979	189	29	.	.	PUNCT
ajmsi-1979	190	1	the	the	DET
ajmsi-1979	190	2	tp	tp	NOUN
ajmsi-1979	190	3	rate	rate	NOUN
ajmsi-1979	190	4	,	,	PUNCT
ajmsi-1979	190	5	precision	precision	NOUN
ajmsi-1979	190	6	,	,	PUNCT
ajmsi-1979	190	7	recall	recall	NOUN
ajmsi-1979	190	8	and	and	CCONJ
ajmsi-1979	190	9	f	f	X
ajmsi-1979	190	10	-	-	PUNCT
ajmsi-1979	190	11	measure	measure	NOUN
ajmsi-1979	190	12	were	be	AUX
ajmsi-1979	190	13	derived	derive	VERB
ajmsi-1979	190	14	as	as	ADP
ajmsi-1979	190	15	0.975	0.975	NUM
ajmsi-1979	190	16	for	for	ADP
ajmsi-1979	190	17	class	class	NOUN
ajmsi-1979	190	18	positive	positive	ADJ
ajmsi-1979	190	19	and	and	CCONJ
ajmsi-1979	190	20	0.963	0.963	NUM
ajmsi-1979	190	21	for	for	ADP
ajmsi-1979	190	22	class	class	NOUN
ajmsi-1979	190	23	negative	negative	NOUN
ajmsi-1979	190	24	.	.	PUNCT
ajmsi-1979	191	1	furthermore	furthermore	ADV
ajmsi-1979	191	2	,	,	PUNCT
ajmsi-1979	191	3	the	the	DET
ajmsi-1979	191	4	test	test	NOUN
ajmsi-1979	191	5	data	datum	NOUN
ajmsi-1979	191	6	was	be	AUX
ajmsi-1979	191	7	supplied	supply	VERB
ajmsi-1979	191	8	on	on	ADP
ajmsi-1979	191	9	the	the	DET
ajmsi-1979	191	10	j48trained	j48trained	ADJ
ajmsi-1979	191	11	model	model	NOUN
ajmsi-1979	191	12	to	to	PART
ajmsi-1979	191	13	predict	predict	VERB
ajmsi-1979	191	14	/	/	SYM
ajmsi-1979	191	15	diagnose	diagnose	NOUN
ajmsi-1979	191	16	thalassemia	thalassemia	NOUN
ajmsi-1979	191	17	traits	trait	NOUN
ajmsi-1979	191	18	and	and	CCONJ
ajmsi-1979	191	19	visualize	visualize	VERB
ajmsi-1979	191	20	results	result	NOUN
ajmsi-1979	191	21	.	.	PUNCT
ajmsi-1979	192	1	the	the	DET
ajmsi-1979	192	2	results	result	NOUN
ajmsi-1979	192	3	were	be	AUX
ajmsi-1979	192	4	transformed	transform	VERB
ajmsi-1979	192	5	into	into	ADP
ajmsi-1979	192	6	a	a	DET
ajmsi-1979	192	7	csv	csv	NOUN
ajmsi-1979	192	8	file	file	NOUN
ajmsi-1979	192	9	,	,	PUNCT
ajmsi-1979	192	10	and	and	CCONJ
ajmsi-1979	192	11	table	table	NOUN
ajmsi-1979	192	12	4	4	NUM
ajmsi-1979	192	13	shows	show	VERB
ajmsi-1979	192	14	the	the	DET
ajmsi-1979	192	15	sample	sample	NOUN
ajmsi-1979	192	16	of	of	ADP
ajmsi-1979	192	17	17	17	NUM
ajmsi-1979	192	18	records	record	NOUN
ajmsi-1979	192	19	of	of	ADP
ajmsi-1979	192	20	test	test	NOUN
ajmsi-1979	192	21	data	datum	NOUN
ajmsi-1979	192	22	out	out	ADP
ajmsi-1979	192	23	of	of	ADP
ajmsi-1979	192	24	101	101	NUM
ajmsi-1979	192	25	evaluated	evaluate	VERB
ajmsi-1979	192	26	using	use	VERB
ajmsi-1979	192	27	the	the	DET
ajmsi-1979	192	28	trained	train	VERB
ajmsi-1979	192	29	model	model	NOUN
ajmsi-1979	192	30	showing	show	VERB
ajmsi-1979	192	31	the	the	DET
ajmsi-1979	192	32	‘	'	PUNCT
ajmsi-1979	192	33	predicted	predict	VERB
ajmsi-1979	192	34	margin	margin	NOUN
ajmsi-1979	192	35	’	'	PUNCT
ajmsi-1979	192	36	and	and	CCONJ
ajmsi-1979	192	37	‘	'	PUNCT
ajmsi-1979	192	38	predicting	predict	VERB
ajmsi-1979	192	39	status	status	NOUN
ajmsi-1979	192	40	’	'	PUNCT
ajmsi-1979	192	41	for	for	ADP
ajmsi-1979	192	42	risk	risk	NOUN
ajmsi-1979	192	43	prediction	prediction	NOUN
ajmsi-1979	192	44	of	of	ADP
ajmsi-1979	192	45	thalassemia	thalassemia	NOUN
ajmsi-1979	192	46	.	.	PUNCT
ajmsi-1979	193	1	figure	figure	NOUN
ajmsi-1979	193	2	9	9	NUM
ajmsi-1979	193	3	presents	present	VERB
ajmsi-1979	193	4	the	the	DET
ajmsi-1979	193	5	results	result	NOUN
ajmsi-1979	193	6	of	of	ADP
ajmsi-1979	193	7	the	the	DET
ajmsi-1979	193	8	j48	j48	PROPN
ajmsi-1979	193	9	model	model	NOUN
ajmsi-1979	193	10	developed	develop	VERB
ajmsi-1979	193	11	using	use	VERB
ajmsi-1979	193	12	weka	weka	PROPN
ajmsi-1979	193	13	software	software	PROPN
ajmsi-1979	193	14	.	.	PUNCT
ajmsi-1979	194	1	the	the	DET
ajmsi-1979	194	2	resampling	resample	VERB
ajmsi-1979	194	3	procedure	procedure	NOUN
ajmsi-1979	194	4	for	for	ADP
ajmsi-1979	194	5	evaluating	evaluate	VERB
ajmsi-1979	194	6	data	datum	NOUN
ajmsi-1979	194	7	mining	mining	NOUN
ajmsi-1979	194	8	tools	tool	NOUN
ajmsi-1979	194	9	is	be	AUX
ajmsi-1979	194	10	cross	cross	ADJ
ajmsi-1979	194	11	-	-	ADJ
ajmsi-1979	194	12	validation	validation	ADJ
ajmsi-1979	194	13	,	,	PUNCT
ajmsi-1979	194	14	referring	refer	VERB
ajmsi-1979	194	15	to	to	ADP
ajmsi-1979	194	16	the	the	DET
ajmsi-1979	194	17	number	number	NOUN
ajmsi-1979	194	18	of	of	ADP
ajmsi-1979	194	19	groups	group	NOUN
ajmsi-1979	194	20	for	for	ADP
ajmsi-1979	194	21	the	the	DET
ajmsi-1979	194	22	given	give	VERB
ajmsi-1979	194	23	dataset	dataset	NOUN
ajmsi-1979	194	24	to	to	PART
ajmsi-1979	194	25	be	be	AUX
ajmsi-1979	194	26	splitted	splitte	VERB
ajmsi-1979	194	27	.	.	PUNCT
ajmsi-1979	195	1	for	for	ADP
ajmsi-1979	195	2	the	the	DET
ajmsi-1979	195	3	evaluation	evaluation	NOUN
ajmsi-1979	195	4	of	of	ADP
ajmsi-1979	195	5	different	different	ADJ
ajmsi-1979	195	6	data	datum	NOUN
ajmsi-1979	195	7	mining	mining	NOUN
ajmsi-1979	195	8	algorithms	algorithm	NOUN
ajmsi-1979	195	9	in	in	ADP
ajmsi-1979	195	10	this	this	DET
ajmsi-1979	195	11	research	research	NOUN
ajmsi-1979	195	12	,	,	PUNCT
ajmsi-1979	195	13	the	the	DET
ajmsi-1979	195	14	dataset	dataset	NOUN
ajmsi-1979	195	15	was	be	AUX
ajmsi-1979	195	16	divided	divide	VERB
ajmsi-1979	195	17	into	into	ADP
ajmsi-1979	195	18	10	10	NUM
ajmsi-1979	195	19	-	-	ADJ
ajmsi-1979	195	20	fold	fold	ADJ
ajmsi-1979	195	21	crossfigure	crossfigure	NOUN
ajmsi-1979	195	22	9	9	NUM
ajmsi-1979	195	23	:	:	PUNCT
ajmsi-1979	195	24	j48	j48	PROPN
ajmsi-1979	195	25	results	result	NOUN
ajmsi-1979	195	26	table	table	VERB
ajmsi-1979	195	27	4	4	NUM
ajmsi-1979	195	28	:	:	PUNCT
ajmsi-1979	195	29	j48	j48	PROPN
ajmsi-1979	195	30	classifier	classifier	NOUN
ajmsi-1979	195	31	output	output	NOUN
ajmsi-1979	195	32	results	result	NOUN
ajmsi-1979	195	33	using	use	VERB
ajmsi-1979	195	34	weka	weka	PROPN
ajmsi-1979	195	35	tool	tool	PROPN
ajmsi-1979	195	36	mcv	mcv	PROPN
ajmsi-1979	195	37	hct	hct	PROPN
ajmsi-1979	195	38	hgb	hgb	PROPN
ajmsi-1979	195	39	mchc	mchc	PROPN
ajmsi-1979	195	40	rdw	rdw	ADJ
ajmsi-1979	195	41	gender	gender	NOUN
ajmsi-1979	195	42	‘	'	PUNCT
ajmsi-1979	195	43	prediction	prediction	NOUN
ajmsi-1979	195	44	margin	margin	NOUN
ajmsi-1979	195	45	’	'	PUNCT
ajmsi-1979	195	46	‘	'	PUNCT
ajmsi-1979	195	47	predicted	predict	VERB
ajmsi-1979	195	48	status	status	NOUN
ajmsi-1979	195	49	’	'	PUNCT
ajmsi-1979	195	50	66.4	66.4	NUM
ajmsi-1979	195	51	4.9	4.9	NUM
ajmsi-1979	195	52	22.3	22.3	NUM
ajmsi-1979	195	53	29.5	29.5	NUM
ajmsi-1979	195	54	31.5	31.5	NUM
ajmsi-1979	195	55	2	2	NUM
ajmsi-1979	195	56	1	1	NUM
ajmsi-1979	195	57	positive	positive	ADJ
ajmsi-1979	195	58	74.6	74.6	NUM
ajmsi-1979	195	59	4.9	4.9	NUM
ajmsi-1979	195	60	19.3	19.3	NUM
ajmsi-1979	195	61	22.6	22.6	NUM
ajmsi-1979	195	62	33.7	33.7	NUM
ajmsi-1979	195	63	1	1	NUM
ajmsi-1979	195	64	1	1	NUM
ajmsi-1979	195	65	positive	positive	ADJ
ajmsi-1979	195	66	69	69	NUM
ajmsi-1979	195	67	9.3	9.3	NUM
ajmsi-1979	195	68	21.7	21.7	NUM
ajmsi-1979	195	69	26.7	26.7	NUM
ajmsi-1979	195	70	32.6	32.6	NUM
ajmsi-1979	195	71	1	1	NUM
ajmsi-1979	195	72	1	1	NUM
ajmsi-1979	195	73	positive	positive	ADJ
ajmsi-1979	195	74	73.1	73.1	NUM
ajmsi-1979	195	75	7.4	7.4	NUM
ajmsi-1979	195	76	25.8	25.8	NUM
ajmsi-1979	195	77	32	32	NUM
ajmsi-1979	195	78	26.4	26.4	NUM
ajmsi-1979	195	79	2	2	NUM
ajmsi-1979	195	80	1	1	NUM
ajmsi-1979	195	81	positive	positive	ADJ
ajmsi-1979	195	82	77.3	77.3	NUM
ajmsi-1979	195	83	6.8	6.8	NUM
ajmsi-1979	195	84	34.2	34.2	NUM
ajmsi-1979	195	85	31.3	31.3	NUM
ajmsi-1979	195	86	33.6	33.6	NUM
ajmsi-1979	195	87	1	1	NUM
ajmsi-1979	195	88	1	1	NUM
ajmsi-1979	195	89	positive	positive	ADJ
ajmsi-1979	195	90	71.2	71.2	NUM
ajmsi-1979	195	91	6.8	6.8	NUM
ajmsi-1979	195	92	21.5	21.5	NUM
ajmsi-1979	195	93	30.1	30.1	NUM
ajmsi-1979	195	94	36.7	36.7	NUM
ajmsi-1979	195	95	1	1	NUM
ajmsi-1979	195	96	1	1	NUM
ajmsi-1979	195	97	positive	positive	ADJ
ajmsi-1979	195	98	80.1	80.1	NUM
ajmsi-1979	195	99	10.5	10.5	NUM
ajmsi-1979	195	100	11.6	11.6	NUM
ajmsi-1979	195	101	35.2	35.2	NUM
ajmsi-1979	195	102	42.1	42.1	NUM
ajmsi-1979	195	103	1	1	NUM
ajmsi-1979	195	104	-0.974359	-0.974359	NOUN
ajmsi-1979	195	105	negative	negative	ADJ
ajmsi-1979	195	106	75.3	75.3	NUM
ajmsi-1979	195	107	6.7	6.7	NUM
ajmsi-1979	195	108	17.6	17.6	NUM
ajmsi-1979	195	109	27.5	27.5	NUM
ajmsi-1979	195	110	31.5	31.5	NUM
ajmsi-1979	195	111	2	2	NUM
ajmsi-1979	195	112	1	1	NUM
ajmsi-1979	195	113	positive	positive	ADJ
ajmsi-1979	195	114	76.4	76.4	NUM
ajmsi-1979	195	115	6.9	6.9	NUM
ajmsi-1979	195	116	27.7	27.7	NUM
ajmsi-1979	195	117	25.9	25.9	NUM
ajmsi-1979	195	118	34.1	34.1	NUM
ajmsi-1979	195	119	1	1	NUM
ajmsi-1979	195	120	1	1	NUM
ajmsi-1979	195	121	positive	positive	ADJ
ajmsi-1979	195	122	69	69	NUM
ajmsi-1979	195	123	9.4	9.4	NUM
ajmsi-1979	195	124	21.9	21.9	NUM
ajmsi-1979	195	125	27.4	27.4	NUM
ajmsi-1979	195	126	29.6	29.6	NUM
ajmsi-1979	195	127	1	1	NUM
ajmsi-1979	195	128	1	1	NUM
ajmsi-1979	195	129	positive	positive	ADJ
ajmsi-1979	195	130	68.9	68.9	NUM
ajmsi-1979	195	131	9.9	9.9	NUM
ajmsi-1979	195	132	19.9	19.9	NUM
ajmsi-1979	195	133	31.2	31.2	NUM
ajmsi-1979	195	134	26.9	26.9	NUM
ajmsi-1979	195	135	1	1	NUM
ajmsi-1979	195	136	1	1	NUM
ajmsi-1979	195	137	positive	positive	ADJ
ajmsi-1979	195	138	73.1	73.1	NUM
ajmsi-1979	195	139	9.1	9.1	NUM
ajmsi-1979	195	140	21.4	21.4	NUM
ajmsi-1979	195	141	30.5	30.5	NUM
ajmsi-1979	195	142	32.1	32.1	NUM
ajmsi-1979	195	143	2	2	NUM
ajmsi-1979	195	144	1	1	NUM
ajmsi-1979	195	145	positive	positive	ADJ
ajmsi-1979	195	146	83.5	83.5	NUM
ajmsi-1979	195	147	10.1	10.1	NUM
ajmsi-1979	195	148	11.7	11.7	NUM
ajmsi-1979	195	149	33.6	33.6	NUM
ajmsi-1979	195	150	42.4	42.4	NUM
ajmsi-1979	195	151	1	1	NUM
ajmsi-1979	195	152	-0.974359	-0.974359	NOUN
ajmsi-1979	196	1	negative	negative	ADJ
ajmsi-1979	197	1	pa	pa	PROPN
ajmsi-1979	198	1	ge	ge	PROPN
ajmsi-1979	199	1	10	10	NUM
ajmsi-1979	199	2	5	5	NUM
ajmsi-1979	199	3	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	199	4	am	be	AUX
ajmsi-1979	199	5	.	.	PUNCT
ajmsi-1979	200	1	j.	j.	PROPN
ajmsi-1979	200	2	med	med	PROPN
ajmsi-1979	200	3	.	.	PUNCT
ajmsi-1979	201	1	sci	sci	PROPN
ajmsi-1979	201	2	.	.	PUNCT
ajmsi-1979	201	3	innov	innov	PROPN
ajmsi-1979	201	4	.	.	PUNCT
ajmsi-1979	202	1	2(2	2(2	NUM
ajmsi-1979	202	2	)	)	PUNCT
ajmsi-1979	203	1	97	97	NUM
ajmsi-1979	203	2	-	-	SYM
ajmsi-1979	203	3	109	109	NUM
ajmsi-1979	203	4	,	,	PUNCT
ajmsi-1979	203	5	2023	2023	NUM
ajmsi-1979	203	6	82.4	82.4	NUM
ajmsi-1979	203	7	10.3	10.3	NUM
ajmsi-1979	203	8	12.7	12.7	NUM
ajmsi-1979	203	9	33.6	33.6	NUM
ajmsi-1979	203	10	44	44	NUM
ajmsi-1979	203	11	1	1	NUM
ajmsi-1979	203	12	-0.974359	-0.974359	NOUN
ajmsi-1979	203	13	negative	negative	ADJ
ajmsi-1979	204	1	57.9	57.9	NUM
ajmsi-1979	204	2	5.9	5.9	NUM
ajmsi-1979	204	3	16.9	16.9	NUM
ajmsi-1979	204	4	30.1	30.1	NUM
ajmsi-1979	204	5	33.5	33.5	NUM
ajmsi-1979	204	6	1	1	NUM
ajmsi-1979	204	7	1	1	NUM
ajmsi-1979	204	8	positive	positive	ADJ
ajmsi-1979	204	9	82.6	82.6	NUM
ajmsi-1979	204	10	11.9	11.9	NUM
ajmsi-1979	204	11	14	14	NUM
ajmsi-1979	204	12	33.9	33.9	NUM
ajmsi-1979	204	13	43.2	43.2	NUM
ajmsi-1979	204	14	1	1	NUM
ajmsi-1979	204	15	-0.974359	-0.974359	NOUN
ajmsi-1979	204	16	negative	negative	ADJ
ajmsi-1979	204	17	80.9	80.9	NUM
ajmsi-1979	204	18	12.4	12.4	NUM
ajmsi-1979	204	19	13.6	13.6	NUM
ajmsi-1979	204	20	33.5	33.5	NUM
ajmsi-1979	204	21	41.2	41.2	NUM
ajmsi-1979	204	22	1	1	NUM
ajmsi-1979	204	23	-0.974359	-0.974359	NOUN
ajmsi-1979	204	24	negative	negative	ADJ
ajmsi-1979	204	25	naïve	naïve	ADJ
ajmsi-1979	204	26	bayes	bayes	PROPN
ajmsi-1979	204	27	classifier	classifier	VERB
ajmsi-1979	204	28	the	the	DET
ajmsi-1979	204	29	results	result	NOUN
ajmsi-1979	204	30	for	for	ADP
ajmsi-1979	204	31	the	the	DET
ajmsi-1979	204	32	naïve	naïve	ADJ
ajmsi-1979	204	33	bayes	bayes	NOUN
ajmsi-1979	204	34	classifier	classifier	NOUN
ajmsi-1979	204	35	are	be	AUX
ajmsi-1979	204	36	shown	show	VERB
ajmsi-1979	204	37	in	in	ADP
ajmsi-1979	204	38	the	the	DET
ajmsi-1979	204	39	figure	figure	NOUN
ajmsi-1979	204	40	10	10	NUM
ajmsi-1979	204	41	below	below	ADV
ajmsi-1979	204	42	.	.	PUNCT
ajmsi-1979	205	1	after	after	ADP
ajmsi-1979	205	2	applying	apply	VERB
ajmsi-1979	205	3	the	the	DET
ajmsi-1979	205	4	naïve	naïve	ADJ
ajmsi-1979	205	5	bayes	bayes	NOUN
ajmsi-1979	205	6	algorithm	algorithm	NOUN
ajmsi-1979	205	7	on	on	ADP
ajmsi-1979	205	8	the	the	DET
ajmsi-1979	205	9	weka	weka	PROPN
ajmsi-1979	205	10	tool	tool	PROPN
ajmsi-1979	205	11	,	,	PUNCT
ajmsi-1979	205	12	the	the	DET
ajmsi-1979	205	13	correctly	correctly	ADV
ajmsi-1979	205	14	classified	classified	ADJ
ajmsi-1979	205	15	instances	instance	NOUN
ajmsi-1979	205	16	based	base	VERB
ajmsi-1979	205	17	on	on	ADP
ajmsi-1979	205	18	the	the	DET
ajmsi-1979	205	19	given	give	VERB
ajmsi-1979	205	20	data	datum	NOUN
ajmsi-1979	205	21	were	be	AUX
ajmsi-1979	205	22	99	99	NUM
ajmsi-1979	205	23	%	%	NOUN
ajmsi-1979	205	24	;	;	PUNCT
ajmsi-1979	205	25	however	however	ADV
ajmsi-1979	205	26	,	,	PUNCT
ajmsi-1979	205	27	only	only	ADV
ajmsi-1979	205	28	1	1	NUM
ajmsi-1979	205	29	%	%	NOUN
ajmsi-1979	205	30	of	of	ADP
ajmsi-1979	205	31	data	datum	NOUN
ajmsi-1979	205	32	was	be	AUX
ajmsi-1979	205	33	incorrectly	incorrectly	ADV
ajmsi-1979	205	34	classified	classify	VERB
ajmsi-1979	205	35	.	.	PUNCT
ajmsi-1979	206	1	furthermore	furthermore	ADV
ajmsi-1979	206	2	,	,	PUNCT
ajmsi-1979	206	3	as	as	SCONJ
ajmsi-1979	206	4	shown	show	VERB
ajmsi-1979	206	5	in	in	ADP
ajmsi-1979	206	6	figure	figure	NOUN
ajmsi-1979	206	7	5.6	5.6	NUM
ajmsi-1979	206	8	,	,	PUNCT
ajmsi-1979	206	9	the	the	DET
ajmsi-1979	206	10	relative	relative	ADJ
ajmsi-1979	206	11	absolute	absolute	ADJ
ajmsi-1979	206	12	error	error	NOUN
ajmsi-1979	206	13	of	of	ADP
ajmsi-1979	206	14	naïve	naïve	ADJ
ajmsi-1979	206	15	bayes	bayes	NOUN
ajmsi-1979	206	16	results	result	NOUN
ajmsi-1979	206	17	was	be	AUX
ajmsi-1979	206	18	1.445	1.445	NUM
ajmsi-1979	206	19	%	%	NOUN
ajmsi-1979	206	20	.	.	PUNCT
ajmsi-1979	207	1	after	after	ADP
ajmsi-1979	207	2	applying	apply	VERB
ajmsi-1979	207	3	the	the	DET
ajmsi-1979	207	4	naïve	naïve	ADJ
ajmsi-1979	207	5	bayesian	bayesian	NOUN
ajmsi-1979	207	6	algorithm	algorithm	NOUN
ajmsi-1979	207	7	on	on	ADP
ajmsi-1979	207	8	the	the	DET
ajmsi-1979	207	9	training	training	NOUN
ajmsi-1979	207	10	dataset	dataset	NOUN
ajmsi-1979	207	11	,	,	PUNCT
ajmsi-1979	207	12	results	result	NOUN
ajmsi-1979	207	13	showed	show	VERB
ajmsi-1979	207	14	that	that	SCONJ
ajmsi-1979	207	15	there	there	PRON
ajmsi-1979	207	16	is	be	VERB
ajmsi-1979	207	17	only	only	ADV
ajmsi-1979	207	18	one	one	NUM
ajmsi-1979	207	19	entry	entry	NOUN
ajmsi-1979	207	20	for	for	ADP
ajmsi-1979	207	21	fp	fp	NOUN
ajmsi-1979	207	22	and	and	CCONJ
ajmsi-1979	207	23	fn	fn	PROPN
ajmsi-1979	207	24	,	,	PUNCT
ajmsi-1979	207	25	suggesting	suggest	VERB
ajmsi-1979	207	26	that	that	SCONJ
ajmsi-1979	207	27	the	the	DET
ajmsi-1979	207	28	model	model	NOUN
ajmsi-1979	207	29	predicting	predict	VERB
ajmsi-1979	207	30	thalassemia	thalassemia	NOUN
ajmsi-1979	207	31	with	with	ADP
ajmsi-1979	207	32	a	a	DET
ajmsi-1979	207	33	99.0	99.0	NUM
ajmsi-1979	207	34	%	%	NOUN
ajmsi-1979	207	35	accuracy	accuracy	NOUN
ajmsi-1979	207	36	rate	rate	NOUN
ajmsi-1979	207	37	;	;	PUNCT
ajmsi-1979	207	38	therefore	therefore	ADV
ajmsi-1979	207	39	,	,	PUNCT
ajmsi-1979	207	40	the	the	DET
ajmsi-1979	207	41	tp	tp	NOUN
ajmsi-1979	207	42	rate	rate	NOUN
ajmsi-1979	207	43	for	for	ADP
ajmsi-1979	207	44	class	class	NOUN
ajmsi-1979	207	45	positive	positive	ADJ
ajmsi-1979	207	46	was	be	AUX
ajmsi-1979	207	47	identified	identify	VERB
ajmsi-1979	207	48	as	as	ADP
ajmsi-1979	207	49	99.2	99.2	NUM
ajmsi-1979	207	50	%	%	NOUN
ajmsi-1979	207	51	and	and	CCONJ
ajmsi-1979	207	52	98.8	98.8	NUM
ajmsi-1979	207	53	%	%	NOUN
ajmsi-1979	207	54	for	for	ADP
ajmsi-1979	207	55	class	class	NOUN
ajmsi-1979	207	56	negative	negative	ADJ
ajmsi-1979	207	57	suggesting	suggest	VERB
ajmsi-1979	207	58	that	that	SCONJ
ajmsi-1979	207	59	119	119	NUM
ajmsi-1979	207	60	cbc	cbc	PROPN
ajmsi-1979	207	61	test	test	NOUN
ajmsi-1979	207	62	results	result	NOUN
ajmsi-1979	207	63	for	for	ADP
ajmsi-1979	207	64	thalassemia	thalassemia	NOUN
ajmsi-1979	207	65	are	be	AUX
ajmsi-1979	207	66	positive	positive	ADJ
ajmsi-1979	207	67	where	where	SCONJ
ajmsi-1979	207	68	79	79	NUM
ajmsi-1979	207	69	are	be	AUX
ajmsi-1979	207	70	negative	negative	ADJ
ajmsi-1979	207	71	based	base	VERB
ajmsi-1979	207	72	on	on	ADP
ajmsi-1979	207	73	the	the	DET
ajmsi-1979	207	74	given	give	VERB
ajmsi-1979	207	75	data	datum	NOUN
ajmsi-1979	207	76	.	.	PUNCT
ajmsi-1979	208	1	figure	figure	NOUN
ajmsi-1979	208	2	10	10	NUM
ajmsi-1979	208	3	:	:	PUNCT
ajmsi-1979	208	4	naïve	naïve	ADJ
ajmsi-1979	208	5	bayes	bayes	PROPN
ajmsi-1979	208	6	results	result	VERB
ajmsi-1979	208	7	smo	smo	PROPN
ajmsi-1979	208	8	algorithm	algorithm	NOUN
ajmsi-1979	208	9	the	the	DET
ajmsi-1979	208	10	results	result	NOUN
ajmsi-1979	208	11	for	for	ADP
ajmsi-1979	208	12	the	the	DET
ajmsi-1979	208	13	smo	smo	PROPN
ajmsi-1979	208	14	algorithm	algorithm	NOUN
ajmsi-1979	208	15	are	be	AUX
ajmsi-1979	208	16	represented	represent	VERB
ajmsi-1979	208	17	in	in	ADP
ajmsi-1979	208	18	figure	figure	NOUN
ajmsi-1979	208	19	11	11	NUM
ajmsi-1979	208	20	,	,	PUNCT
ajmsi-1979	208	21	analysed	analyse	VERB
ajmsi-1979	208	22	using	use	VERB
ajmsi-1979	208	23	the	the	DET
ajmsi-1979	208	24	weka	weka	PROPN
ajmsi-1979	208	25	tool	tool	PROPN
ajmsi-1979	208	26	.	.	PUNCT
ajmsi-1979	209	1	the	the	DET
ajmsi-1979	209	2	results	result	NOUN
ajmsi-1979	209	3	derived	derive	VERB
ajmsi-1979	209	4	from	from	ADP
ajmsi-1979	209	5	the	the	DET
ajmsi-1979	209	6	smo	smo	PROPN
ajmsi-1979	209	7	model	model	NOUN
ajmsi-1979	209	8	on	on	ADP
ajmsi-1979	209	9	the	the	DET
ajmsi-1979	209	10	given	give	VERB
ajmsi-1979	209	11	dataset	dataset	NOUN
ajmsi-1979	209	12	provided	provide	VERB
ajmsi-1979	209	13	results	result	NOUN
ajmsi-1979	209	14	with	with	ADP
ajmsi-1979	209	15	3.1236	3.1236	NUM
ajmsi-1979	209	16	%	%	NOUN
ajmsi-1979	209	17	relative	relative	ADJ
ajmsi-1979	209	18	absolute	absolute	ADJ
ajmsi-1979	209	19	error	error	NOUN
ajmsi-1979	209	20	,	,	PUNCT
ajmsi-1979	209	21	where	where	SCONJ
ajmsi-1979	209	22	98.5	98.5	NUM
ajmsi-1979	209	23	%	%	NOUN
ajmsi-1979	209	24	were	be	AUX
ajmsi-1979	209	25	correctly	correctly	ADV
ajmsi-1979	209	26	classified	classify	VERB
ajmsi-1979	209	27	instances	instance	NOUN
ajmsi-1979	209	28	,	,	PUNCT
ajmsi-1979	209	29	whereas	whereas	SCONJ
ajmsi-1979	209	30	1.5	1.5	NUM
ajmsi-1979	209	31	%	%	NOUN
ajmsi-1979	209	32	were	be	AUX
ajmsi-1979	209	33	incorrectly	incorrectly	ADV
ajmsi-1979	209	34	classified	classify	VERB
ajmsi-1979	209	35	instances	instance	NOUN
ajmsi-1979	209	36	.	.	PUNCT
ajmsi-1979	210	1	moreover	moreover	ADV
ajmsi-1979	210	2	,	,	PUNCT
ajmsi-1979	210	3	as	as	SCONJ
ajmsi-1979	210	4	shown	show	VERB
ajmsi-1979	210	5	in	in	ADP
ajmsi-1979	210	6	figure	figure	NOUN
ajmsi-1979	210	7	5.7	5.7	NUM
ajmsi-1979	210	8	,	,	PUNCT
ajmsi-1979	210	9	after	after	ADP
ajmsi-1979	210	10	applying	apply	VERB
ajmsi-1979	210	11	the	the	DET
ajmsi-1979	210	12	figure	figure	NOUN
ajmsi-1979	210	13	11	11	NUM
ajmsi-1979	210	14	:	:	PUNCT
ajmsi-1979	210	15	smo	smo	PROPN
ajmsi-1979	210	16	algorithm	algorithm	PROPN
ajmsi-1979	210	17	results	result	VERB
ajmsi-1979	210	18	pa	pa	PROPN
ajmsi-1979	210	19	ge	ge	PROPN
ajmsi-1979	210	20	10	10	NUM
ajmsi-1979	210	21	6	6	NUM
ajmsi-1979	210	22	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	210	23	am	be	AUX
ajmsi-1979	210	24	.	.	PUNCT
ajmsi-1979	211	1	j.	j.	PROPN
ajmsi-1979	211	2	med	med	PROPN
ajmsi-1979	211	3	.	.	PUNCT
ajmsi-1979	212	1	sci	sci	PROPN
ajmsi-1979	212	2	.	.	PUNCT
ajmsi-1979	212	3	innov	innov	PROPN
ajmsi-1979	212	4	.	.	PUNCT
ajmsi-1979	213	1	2(2	2(2	NUM
ajmsi-1979	213	2	)	)	PUNCT
ajmsi-1979	213	3	97	97	NUM
ajmsi-1979	213	4	-	-	SYM
ajmsi-1979	213	5	109	109	NUM
ajmsi-1979	213	6	,	,	PUNCT
ajmsi-1979	213	7	2023	2023	NUM
ajmsi-1979	213	8	smo	smo	PROPN
ajmsi-1979	213	9	algorithm	algorithm	NOUN
ajmsi-1979	213	10	on	on	ADP
ajmsi-1979	213	11	the	the	DET
ajmsi-1979	213	12	training	training	NOUN
ajmsi-1979	213	13	dataset	dataset	NOUN
ajmsi-1979	213	14	,	,	PUNCT
ajmsi-1979	213	15	results	result	NOUN
ajmsi-1979	213	16	showed	show	VERB
ajmsi-1979	213	17	that	that	SCONJ
ajmsi-1979	213	18	there	there	PRON
ajmsi-1979	213	19	are	be	VERB
ajmsi-1979	213	20	three	three	NUM
ajmsi-1979	213	21	entries	entry	NOUN
ajmsi-1979	213	22	for	for	ADP
ajmsi-1979	213	23	fp	fp	NOUN
ajmsi-1979	213	24	and	and	CCONJ
ajmsi-1979	213	25	no	no	DET
ajmsi-1979	213	26	entry	entry	NOUN
ajmsi-1979	213	27	for	for	ADP
ajmsi-1979	213	28	fn	fn	PROPN
ajmsi-1979	213	29	,	,	PUNCT
ajmsi-1979	213	30	suggesting	suggest	VERB
ajmsi-1979	213	31	that	that	SCONJ
ajmsi-1979	213	32	the	the	DET
ajmsi-1979	213	33	model	model	NOUN
ajmsi-1979	213	34	predicting	predict	VERB
ajmsi-1979	213	35	thalassemia	thalassemia	NOUN
ajmsi-1979	213	36	with	with	ADP
ajmsi-1979	213	37	a	a	DET
ajmsi-1979	213	38	98.5	98.5	NUM
ajmsi-1979	213	39	%	%	NOUN
ajmsi-1979	213	40	accuracy	accuracy	NOUN
ajmsi-1979	213	41	rate	rate	NOUN
ajmsi-1979	213	42	;	;	PUNCT
ajmsi-1979	213	43	therefore	therefore	ADV
ajmsi-1979	213	44	the	the	DET
ajmsi-1979	213	45	tp	tp	NOUN
ajmsi-1979	213	46	rate	rate	NOUN
ajmsi-1979	213	47	for	for	ADP
ajmsi-1979	213	48	class	class	NOUN
ajmsi-1979	213	49	positive	positive	ADJ
ajmsi-1979	213	50	was	be	AUX
ajmsi-1979	213	51	identified	identify	VERB
ajmsi-1979	213	52	as	as	ADP
ajmsi-1979	213	53	97.5	97.5	NUM
ajmsi-1979	213	54	%	%	NOUN
ajmsi-1979	213	55	and	and	CCONJ
ajmsi-1979	213	56	100	100	NUM
ajmsi-1979	213	57	%	%	NOUN
ajmsi-1979	213	58	for	for	ADP
ajmsi-1979	213	59	class	class	NOUN
ajmsi-1979	213	60	negative	negative	ADJ
ajmsi-1979	213	61	suggesting	suggest	VERB
ajmsi-1979	213	62	that	that	SCONJ
ajmsi-1979	213	63	117	117	NUM
ajmsi-1979	213	64	cbc	cbc	PROPN
ajmsi-1979	213	65	test	test	NOUN
ajmsi-1979	213	66	results	result	NOUN
ajmsi-1979	213	67	for	for	ADP
ajmsi-1979	213	68	thalassemia	thalassemia	NOUN
ajmsi-1979	213	69	are	be	AUX
ajmsi-1979	213	70	positive	positive	ADJ
ajmsi-1979	213	71	where	where	SCONJ
ajmsi-1979	213	72	80	80	NUM
ajmsi-1979	213	73	are	be	AUX
ajmsi-1979	213	74	negative	negative	ADJ
ajmsi-1979	213	75	based	base	VERB
ajmsi-1979	213	76	on	on	ADP
ajmsi-1979	213	77	the	the	DET
ajmsi-1979	213	78	given	give	VERB
ajmsi-1979	213	79	data	datum	NOUN
ajmsi-1979	213	80	.	.	PUNCT
ajmsi-1979	214	1	multilayer	multilayer	PROPN
ajmsi-1979	214	2	perceptron	perceptron	PROPN
ajmsi-1979	214	3	after	after	ADP
ajmsi-1979	214	4	applying	apply	VERB
ajmsi-1979	214	5	a	a	DET
ajmsi-1979	214	6	multilayer	multilayer	ADJ
ajmsi-1979	214	7	perceptron	perceptron	PROPN
ajmsi-1979	214	8	neural	neural	ADJ
ajmsi-1979	214	9	network	network	NOUN
ajmsi-1979	214	10	on	on	ADP
ajmsi-1979	214	11	the	the	DET
ajmsi-1979	214	12	training	training	NOUN
ajmsi-1979	214	13	dataset	dataset	NOUN
ajmsi-1979	214	14	,	,	PUNCT
ajmsi-1979	214	15	the	the	DET
ajmsi-1979	214	16	results	result	NOUN
ajmsi-1979	214	17	shown	show	VERB
ajmsi-1979	214	18	in	in	ADP
ajmsi-1979	214	19	the	the	DET
ajmsi-1979	214	20	figure	figure	NOUN
ajmsi-1979	214	21	12	12	NUM
ajmsi-1979	214	22	below	below	ADV
ajmsi-1979	214	23	were	be	AUX
ajmsi-1979	214	24	derived	derive	VERB
ajmsi-1979	214	25	.	.	PUNCT
ajmsi-1979	215	1	figure	figure	VERB
ajmsi-1979	215	2	5.8	5.8	NUM
ajmsi-1979	215	3	presents	present	VERB
ajmsi-1979	215	4	the	the	DET
ajmsi-1979	215	5	results	result	NOUN
ajmsi-1979	215	6	for	for	ADP
ajmsi-1979	215	7	training	training	NOUN
ajmsi-1979	215	8	data	datum	NOUN
ajmsi-1979	215	9	using	use	VERB
ajmsi-1979	215	10	the	the	DET
ajmsi-1979	215	11	multilayer	multilayer	ADJ
ajmsi-1979	215	12	perceptron	perceptron	PROPN
ajmsi-1979	215	13	classifier	classifier	NOUN
ajmsi-1979	215	14	on	on	ADP
ajmsi-1979	215	15	the	the	DET
ajmsi-1979	215	16	weka	weka	PROPN
ajmsi-1979	215	17	tool	tool	PROPN
ajmsi-1979	215	18	.	.	PUNCT
ajmsi-1979	216	1	the	the	DET
ajmsi-1979	216	2	algorithm	algorithm	NOUN
ajmsi-1979	216	3	’s	’s	PART
ajmsi-1979	216	4	rate	rate	NOUN
ajmsi-1979	216	5	of	of	ADP
ajmsi-1979	216	6	correctly	correctly	ADV
ajmsi-1979	216	7	classified	classified	ADJ
ajmsi-1979	216	8	instances	instance	NOUN
ajmsi-1979	216	9	is	be	AUX
ajmsi-1979	216	10	98	98	NUM
ajmsi-1979	216	11	%	%	NOUN
ajmsi-1979	216	12	,	,	PUNCT
ajmsi-1979	216	13	whereas	whereas	SCONJ
ajmsi-1979	216	14	the	the	DET
ajmsi-1979	216	15	rate	rate	NOUN
ajmsi-1979	216	16	for	for	ADP
ajmsi-1979	216	17	incorrectly	incorrectly	ADV
ajmsi-1979	216	18	classified	classified	ADJ
ajmsi-1979	216	19	instances	instance	NOUN
ajmsi-1979	216	20	is	be	AUX
ajmsi-1979	216	21	2	2	NUM
ajmsi-1979	216	22	%	%	NOUN
ajmsi-1979	216	23	.	.	PUNCT
ajmsi-1979	217	1	as	as	SCONJ
ajmsi-1979	217	2	shown	show	VERB
ajmsi-1979	217	3	in	in	ADP
ajmsi-1979	217	4	figure	figure	NOUN
ajmsi-1979	217	5	5.8	5.8	NUM
ajmsi-1979	217	6	,	,	PUNCT
ajmsi-1979	217	7	the	the	DET
ajmsi-1979	217	8	relative	relative	ADJ
ajmsi-1979	217	9	absolute	absolute	ADJ
ajmsi-1979	217	10	error	error	NOUN
ajmsi-1979	217	11	for	for	ADP
ajmsi-1979	217	12	the	the	DET
ajmsi-1979	217	13	trained	train	VERB
ajmsi-1979	217	14	model	model	NOUN
ajmsi-1979	217	15	was	be	AUX
ajmsi-1979	217	16	derived	derive	VERB
ajmsi-1979	217	17	to	to	PART
ajmsi-1979	217	18	be	be	AUX
ajmsi-1979	217	19	3.5101	3.5101	NUM
ajmsi-1979	217	20	%	%	NOUN
ajmsi-1979	217	21	.	.	PUNCT
ajmsi-1979	218	1	furthermore	furthermore	ADV
ajmsi-1979	218	2	,	,	PUNCT
ajmsi-1979	218	3	it	it	PRON
ajmsi-1979	218	4	shows	show	VERB
ajmsi-1979	218	5	that	that	SCONJ
ajmsi-1979	218	6	there	there	PRON
ajmsi-1979	218	7	are	be	VERB
ajmsi-1979	218	8	three	three	NUM
ajmsi-1979	218	9	entries	entry	NOUN
ajmsi-1979	218	10	for	for	ADP
ajmsi-1979	218	11	fp	fp	NOUN
ajmsi-1979	218	12	and	and	CCONJ
ajmsi-1979	218	13	only	only	ADV
ajmsi-1979	218	14	one	one	NUM
ajmsi-1979	218	15	entry	entry	NOUN
ajmsi-1979	218	16	for	for	ADP
ajmsi-1979	218	17	fn	fn	NOUN
ajmsi-1979	218	18	,	,	PUNCT
ajmsi-1979	218	19	suggesting	suggest	VERB
ajmsi-1979	218	20	that	that	SCONJ
ajmsi-1979	218	21	the	the	DET
ajmsi-1979	218	22	mlp	mlp	PROPN
ajmsi-1979	218	23	model	model	NOUN
ajmsi-1979	218	24	predicts	predict	VERB
ajmsi-1979	218	25	thalassemia	thalassemia	NOUN
ajmsi-1979	218	26	with	with	ADP
ajmsi-1979	218	27	a	a	DET
ajmsi-1979	218	28	98.0	98.0	NUM
ajmsi-1979	218	29	%	%	NOUN
ajmsi-1979	218	30	accuracy	accuracy	NOUN
ajmsi-1979	218	31	rate	rate	NOUN
ajmsi-1979	218	32	;	;	PUNCT
ajmsi-1979	218	33	therefore	therefore	ADV
ajmsi-1979	218	34	,	,	PUNCT
ajmsi-1979	218	35	the	the	DET
ajmsi-1979	218	36	tp	tp	NOUN
ajmsi-1979	218	37	rate	rate	NOUN
ajmsi-1979	218	38	for	for	ADP
ajmsi-1979	218	39	class	class	NOUN
ajmsi-1979	218	40	positive	positive	ADJ
ajmsi-1979	218	41	was	be	AUX
ajmsi-1979	218	42	identified	identify	VERB
ajmsi-1979	218	43	as	as	ADP
ajmsi-1979	218	44	97.5	97.5	NUM
ajmsi-1979	218	45	%	%	NOUN
ajmsi-1979	218	46	whereas	whereas	SCONJ
ajmsi-1979	218	47	98.8	98.8	NUM
ajmsi-1979	218	48	%	%	NOUN
ajmsi-1979	218	49	for	for	ADP
ajmsi-1979	218	50	class	class	NOUN
ajmsi-1979	218	51	negative	negative	ADJ
ajmsi-1979	218	52	suggesting	suggest	VERB
ajmsi-1979	218	53	that	that	SCONJ
ajmsi-1979	218	54	117	117	NUM
ajmsi-1979	218	55	cbc	cbc	PROPN
ajmsi-1979	218	56	test	test	NOUN
ajmsi-1979	218	57	results	result	NOUN
ajmsi-1979	218	58	for	for	ADP
ajmsi-1979	218	59	thalassemia	thalassemia	NOUN
ajmsi-1979	218	60	are	be	AUX
ajmsi-1979	218	61	positive	positive	ADJ
ajmsi-1979	218	62	and	and	CCONJ
ajmsi-1979	218	63	79	79	NUM
ajmsi-1979	218	64	are	be	AUX
ajmsi-1979	218	65	negative	negative	ADJ
ajmsi-1979	218	66	based	base	VERB
ajmsi-1979	218	67	on	on	ADP
ajmsi-1979	218	68	the	the	DET
ajmsi-1979	218	69	given	give	VERB
ajmsi-1979	218	70	data	datum	NOUN
ajmsi-1979	218	71	.	.	PUNCT
ajmsi-1979	219	1	figure	figure	NOUN
ajmsi-1979	219	2	12	12	NUM
ajmsi-1979	219	3	:	:	PUNCT
ajmsi-1979	219	4	mlp	mlp	NOUN
ajmsi-1979	219	5	results	result	VERB
ajmsi-1979	219	6	comparison	comparison	NOUN
ajmsi-1979	219	7	of	of	ADP
ajmsi-1979	219	8	algorithms	algorithm	NOUN
ajmsi-1979	219	9	’	'	PUNCT
ajmsi-1979	219	10	results	result	NOUN
ajmsi-1979	219	11	through	through	ADP
ajmsi-1979	219	12	weka	weka	PROPN
ajmsi-1979	219	13	experimenter	experimenter	PROPN
ajmsi-1979	219	14	this	this	DET
ajmsi-1979	219	15	section	section	NOUN
ajmsi-1979	219	16	of	of	ADP
ajmsi-1979	219	17	the	the	DET
ajmsi-1979	219	18	report	report	NOUN
ajmsi-1979	219	19	compares	compare	VERB
ajmsi-1979	219	20	all	all	DET
ajmsi-1979	219	21	four	four	NUM
ajmsi-1979	219	22	classifiers	classifier	NOUN
ajmsi-1979	219	23	using	use	VERB
ajmsi-1979	219	24	the	the	DET
ajmsi-1979	219	25	weka	weka	PROPN
ajmsi-1979	219	26	experimenter	experimenter	NOUN
ajmsi-1979	219	27	based	base	VERB
ajmsi-1979	219	28	on	on	ADP
ajmsi-1979	219	29	precision	precision	NOUN
ajmsi-1979	219	30	,	,	PUNCT
ajmsi-1979	219	31	recall	recall	NOUN
ajmsi-1979	219	32	and	and	CCONJ
ajmsi-1979	219	33	f	f	NOUN
ajmsi-1979	219	34	-	-	PUNCT
ajmsi-1979	219	35	measure	measure	NOUN
ajmsi-1979	219	36	.	.	PUNCT
ajmsi-1979	220	1	a	a	DET
ajmsi-1979	220	2	paired	pair	VERB
ajmsi-1979	220	3	t	t	NOUN
ajmsi-1979	220	4	-	-	PUNCT
ajmsi-1979	220	5	test	test	NOUN
ajmsi-1979	220	6	was	be	AUX
ajmsi-1979	220	7	performed	perform	VERB
ajmsi-1979	220	8	to	to	PART
ajmsi-1979	220	9	identify	identify	VERB
ajmsi-1979	220	10	the	the	DET
ajmsi-1979	220	11	difference	difference	NOUN
ajmsi-1979	220	12	between	between	ADP
ajmsi-1979	220	13	the	the	DET
ajmsi-1979	220	14	algorithms	algorithm	NOUN
ajmsi-1979	220	15	used	use	VERB
ajmsi-1979	220	16	.	.	PUNCT
ajmsi-1979	221	1	it	it	PRON
ajmsi-1979	221	2	was	be	AUX
ajmsi-1979	221	3	used	use	VERB
ajmsi-1979	221	4	in	in	ADP
ajmsi-1979	221	5	this	this	DET
ajmsi-1979	221	6	research	research	NOUN
ajmsi-1979	221	7	using	use	VERB
ajmsi-1979	221	8	the	the	DET
ajmsi-1979	221	9	weka	weka	PROPN
ajmsi-1979	221	10	experimenter	experimenter	PROPN
ajmsi-1979	221	11	to	to	PART
ajmsi-1979	221	12	compare	compare	VERB
ajmsi-1979	221	13	the	the	DET
ajmsi-1979	221	14	results	result	NOUN
ajmsi-1979	221	15	among	among	ADP
ajmsi-1979	221	16	all	all	DET
ajmsi-1979	221	17	four	four	NUM
ajmsi-1979	221	18	algorithms	algorithm	NOUN
ajmsi-1979	221	19	.	.	PUNCT
ajmsi-1979	222	1	the	the	DET
ajmsi-1979	222	2	data	data	NOUN
ajmsi-1979	222	3	mining	mining	NOUN
ajmsi-1979	222	4	measures	measure	NOUN
ajmsi-1979	222	5	that	that	PRON
ajmsi-1979	222	6	are	be	AUX
ajmsi-1979	222	7	useful	useful	ADJ
ajmsi-1979	222	8	to	to	PART
ajmsi-1979	222	9	analyse	analyse	VERB
ajmsi-1979	222	10	the	the	DET
ajmsi-1979	222	11	performance	performance	NOUN
ajmsi-1979	222	12	of	of	ADP
ajmsi-1979	222	13	each	each	DET
ajmsi-1979	222	14	algorithm	algorithm	NOUN
ajmsi-1979	222	15	are	be	AUX
ajmsi-1979	222	16	precision	precision	NOUN
ajmsi-1979	222	17	,	,	PUNCT
ajmsi-1979	222	18	recall	recall	NOUN
ajmsi-1979	222	19	and	and	CCONJ
ajmsi-1979	222	20	f	f	NOUN
ajmsi-1979	222	21	-	-	PUNCT
ajmsi-1979	222	22	measure	measure	NOUN
ajmsi-1979	222	23	.	.	PUNCT
ajmsi-1979	223	1	figures	figure	NOUN
ajmsi-1979	223	2	13	13	NUM
ajmsi-1979	223	3	,	,	PUNCT
ajmsi-1979	223	4	14	14	NUM
ajmsi-1979	223	5	and	and	CCONJ
ajmsi-1979	223	6	15	15	NUM
ajmsi-1979	223	7	illustrate	illustrate	VERB
ajmsi-1979	223	8	the	the	DET
ajmsi-1979	223	9	weka	weka	PROPN
ajmsi-1979	223	10	experimenter	experimenter	PROPN
ajmsi-1979	223	11	’s	’s	PART
ajmsi-1979	223	12	snapshots	snapshot	NOUN
ajmsi-1979	223	13	using	use	VERB
ajmsi-1979	223	14	precision	precision	NOUN
ajmsi-1979	223	15	,	,	PUNCT
ajmsi-1979	223	16	recall	recall	NOUN
ajmsi-1979	223	17	,	,	PUNCT
ajmsi-1979	223	18	and	and	CCONJ
ajmsi-1979	223	19	f	f	X
ajmsi-1979	223	20	-	-	PUNCT
ajmsi-1979	223	21	measure	measure	NOUN
ajmsi-1979	223	22	.	.	PUNCT
ajmsi-1979	224	1	paired	pair	VERB
ajmsi-1979	224	2	t	t	PROPN
ajmsi-1979	224	3	-	-	PUNCT
ajmsi-1979	224	4	test	test	NOUN
ajmsi-1979	224	5	was	be	AUX
ajmsi-1979	224	6	applied	apply	VERB
ajmsi-1979	224	7	in	in	ADP
ajmsi-1979	224	8	these	these	DET
ajmsi-1979	224	9	experiments	experiment	NOUN
ajmsi-1979	224	10	to	to	PART
ajmsi-1979	224	11	identify	identify	VERB
ajmsi-1979	224	12	the	the	DET
ajmsi-1979	224	13	algorithm	algorithm	NOUN
ajmsi-1979	224	14	with	with	ADP
ajmsi-1979	224	15	the	the	DET
ajmsi-1979	224	16	highest	high	ADJ
ajmsi-1979	224	17	accuracy	accuracy	NOUN
ajmsi-1979	224	18	for	for	ADP
ajmsi-1979	224	19	the	the	DET
ajmsi-1979	224	20	given	give	VERB
ajmsi-1979	224	21	dataset	dataset	NOUN
ajmsi-1979	224	22	.	.	PUNCT
ajmsi-1979	225	1	figure	figure	NOUN
ajmsi-1979	225	2	13	13	NUM
ajmsi-1979	225	3	:	:	PUNCT
ajmsi-1979	225	4	comparison	comparison	NOUN
ajmsi-1979	225	5	of	of	ADP
ajmsi-1979	225	6	j48	j48	PROPN
ajmsi-1979	225	7	,	,	PUNCT
ajmsi-1979	225	8	nb	nb	PROPN
ajmsi-1979	225	9	,	,	PUNCT
ajmsi-1979	225	10	smo	smo	PROPN
ajmsi-1979	225	11	,	,	PUNCT
ajmsi-1979	225	12	and	and	CCONJ
ajmsi-1979	225	13	mlp	mlp	PROPN
ajmsi-1979	225	14	algorithms	algorithm	NOUN
ajmsi-1979	225	15	using	use	VERB
ajmsi-1979	225	16	weka	weka	PROPN
ajmsi-1979	225	17	experimenter	experimenter	PROPN
ajmsi-1979	225	18	using	use	VERB
ajmsi-1979	225	19	precision	precision	NOUN
ajmsi-1979	225	20	pa	pa	PROPN
ajmsi-1979	225	21	ge	ge	PROPN
ajmsi-1979	225	22	10	10	NUM
ajmsi-1979	225	23	7	7	NUM
ajmsi-1979	225	24	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	225	25	am	be	AUX
ajmsi-1979	225	26	.	.	PUNCT
ajmsi-1979	226	1	j.	j.	PROPN
ajmsi-1979	226	2	med	med	PROPN
ajmsi-1979	226	3	.	.	PUNCT
ajmsi-1979	227	1	sci	sci	PROPN
ajmsi-1979	227	2	.	.	PUNCT
ajmsi-1979	227	3	innov	innov	PROPN
ajmsi-1979	227	4	.	.	PUNCT
ajmsi-1979	228	1	2(2	2(2	NUM
ajmsi-1979	228	2	)	)	PUNCT
ajmsi-1979	228	3	97	97	NUM
ajmsi-1979	228	4	-	-	SYM
ajmsi-1979	228	5	109	109	NUM
ajmsi-1979	228	6	,	,	PUNCT
ajmsi-1979	228	7	2023	2023	NUM
ajmsi-1979	228	8	figure	figure	NOUN
ajmsi-1979	228	9	14	14	NUM
ajmsi-1979	228	10	:	:	PUNCT
ajmsi-1979	228	11	comparison	comparison	NOUN
ajmsi-1979	228	12	of	of	ADP
ajmsi-1979	228	13	j48	j48	PROPN
ajmsi-1979	228	14	,	,	PUNCT
ajmsi-1979	228	15	nb	nb	PROPN
ajmsi-1979	228	16	,	,	PUNCT
ajmsi-1979	228	17	smo	smo	PROPN
ajmsi-1979	228	18	,	,	PUNCT
ajmsi-1979	228	19	and	and	CCONJ
ajmsi-1979	228	20	mlp	mlp	PROPN
ajmsi-1979	228	21	algorithms	algorithm	NOUN
ajmsi-1979	228	22	using	use	VERB
ajmsi-1979	228	23	weka	weka	PROPN
ajmsi-1979	228	24	experimenter	experimenter	PROPN
ajmsi-1979	228	25	using	use	VERB
ajmsi-1979	228	26	recall	recall	NOUN
ajmsi-1979	228	27	figure	figure	NOUN
ajmsi-1979	228	28	15	15	NUM
ajmsi-1979	228	29	:	:	PUNCT
ajmsi-1979	228	30	comparison	comparison	NOUN
ajmsi-1979	228	31	of	of	ADP
ajmsi-1979	228	32	j48	j48	PROPN
ajmsi-1979	228	33	,	,	PUNCT
ajmsi-1979	228	34	nb	nb	PROPN
ajmsi-1979	228	35	,	,	PUNCT
ajmsi-1979	228	36	smo	smo	PROPN
ajmsi-1979	228	37	,	,	PUNCT
ajmsi-1979	228	38	and	and	CCONJ
ajmsi-1979	228	39	mlp	mlp	PROPN
ajmsi-1979	228	40	algorithms	algorithm	NOUN
ajmsi-1979	228	41	using	use	VERB
ajmsi-1979	228	42	weka	weka	PROPN
ajmsi-1979	228	43	experimenter	experimenter	PROPN
ajmsi-1979	228	44	using	use	VERB
ajmsi-1979	228	45	f	f	NOUN
ajmsi-1979	228	46	-	-	PUNCT
ajmsi-1979	228	47	measure	measure	NOUN
ajmsi-1979	228	48	it	it	PRON
ajmsi-1979	228	49	was	be	AUX
ajmsi-1979	228	50	evaluated	evaluate	VERB
ajmsi-1979	228	51	that	that	SCONJ
ajmsi-1979	228	52	naïve	naïve	ADJ
ajmsi-1979	228	53	bayes	bayes	PROPN
ajmsi-1979	228	54	performed	perform	VERB
ajmsi-1979	228	55	the	the	DET
ajmsi-1979	228	56	risk	risk	NOUN
ajmsi-1979	228	57	prediction	prediction	NOUN
ajmsi-1979	228	58	of	of	ADP
ajmsi-1979	228	59	thalassemia	thalassemia	NOUN
ajmsi-1979	228	60	with	with	ADP
ajmsi-1979	228	61	the	the	DET
ajmsi-1979	228	62	highest	high	ADJ
ajmsi-1979	228	63	performance	performance	NOUN
ajmsi-1979	228	64	among	among	ADP
ajmsi-1979	228	65	all	all	DET
ajmsi-1979	228	66	four	four	NUM
ajmsi-1979	228	67	classifiers	classifier	NOUN
ajmsi-1979	228	68	with	with	ADP
ajmsi-1979	228	69	precision	precision	NOUN
ajmsi-1979	228	70	,	,	PUNCT
ajmsi-1979	228	71	recall	recall	NOUN
ajmsi-1979	228	72	and	and	CCONJ
ajmsi-1979	228	73	f	f	NOUN
ajmsi-1979	228	74	-	-	PUNCT
ajmsi-1979	228	75	measure	measure	NOUN
ajmsi-1979	228	76	of	of	ADP
ajmsi-1979	228	77	99.0	99.0	NUM
ajmsi-1979	228	78	%	%	NOUN
ajmsi-1979	228	79	.	.	PUNCT
ajmsi-1979	229	1	the	the	DET
ajmsi-1979	229	2	comparative	comparative	ADJ
ajmsi-1979	229	3	performance	performance	NOUN
ajmsi-1979	229	4	for	for	ADP
ajmsi-1979	229	5	all	all	DET
ajmsi-1979	229	6	four	four	NUM
ajmsi-1979	229	7	classifiers	classifier	NOUN
ajmsi-1979	229	8	is	be	AUX
ajmsi-1979	229	9	also	also	ADV
ajmsi-1979	229	10	visualised	visualise	VERB
ajmsi-1979	229	11	based	base	VERB
ajmsi-1979	229	12	on	on	ADP
ajmsi-1979	229	13	relative	relative	ADJ
ajmsi-1979	229	14	absolute	absolute	ADJ
ajmsi-1979	229	15	error	error	NOUN
ajmsi-1979	229	16	,	,	PUNCT
ajmsi-1979	229	17	as	as	SCONJ
ajmsi-1979	229	18	shown	show	VERB
ajmsi-1979	229	19	in	in	ADP
ajmsi-1979	229	20	the	the	DET
ajmsi-1979	229	21	figure	figure	NOUN
ajmsi-1979	229	22	below	below	ADV
ajmsi-1979	229	23	.	.	PUNCT
ajmsi-1979	230	1	it	it	PRON
ajmsi-1979	230	2	can	can	AUX
ajmsi-1979	230	3	be	be	AUX
ajmsi-1979	230	4	viewed	view	VERB
ajmsi-1979	230	5	in	in	ADP
ajmsi-1979	230	6	figure	figure	NOUN
ajmsi-1979	230	7	16	16	NUM
ajmsi-1979	230	8	that	that	SCONJ
ajmsi-1979	230	9	the	the	DET
ajmsi-1979	230	10	least	least	ADJ
ajmsi-1979	230	11	root	root	NOUN
ajmsi-1979	230	12	mean	mean	ADJ
ajmsi-1979	230	13	square	square	ADJ
ajmsi-1979	230	14	error	error	NOUN
ajmsi-1979	230	15	of	of	ADP
ajmsi-1979	230	16	1.445	1.445	NUM
ajmsi-1979	230	17	%	%	NOUN
ajmsi-1979	230	18	was	be	AUX
ajmsi-1979	230	19	for	for	ADP
ajmsi-1979	230	20	the	the	DET
ajmsi-1979	230	21	naïve	naïve	ADJ
ajmsi-1979	230	22	bayes	bayes	NOUN
ajmsi-1979	230	23	model	model	NOUN
ajmsi-1979	230	24	in	in	ADP
ajmsi-1979	230	25	comparison	comparison	NOUN
ajmsi-1979	230	26	with	with	ADP
ajmsi-1979	230	27	models	model	NOUN
ajmsi-1979	230	28	of	of	ADP
ajmsi-1979	230	29	j48	j48	PROPN
ajmsi-1979	230	30	,	,	PUNCT
ajmsi-1979	230	31	smo	smo	PROPN
ajmsi-1979	230	32	and	and	CCONJ
ajmsi-1979	230	33	mlp	mlp	PROPN
ajmsi-1979	230	34	.	.	PUNCT
ajmsi-1979	231	1	hence	hence	ADV
ajmsi-1979	231	2	,	,	PUNCT
ajmsi-1979	231	3	it	it	PRON
ajmsi-1979	231	4	proved	prove	VERB
ajmsi-1979	231	5	that	that	SCONJ
ajmsi-1979	231	6	based	base	VERB
ajmsi-1979	231	7	on	on	ADP
ajmsi-1979	231	8	the	the	DET
ajmsi-1979	231	9	given	give	VERB
ajmsi-1979	231	10	dataset	dataset	NOUN
ajmsi-1979	231	11	,	,	PUNCT
ajmsi-1979	231	12	naïve	naïve	ADJ
ajmsi-1979	231	13	bayes	baye	NOUN
ajmsi-1979	231	14	provided	provide	VERB
ajmsi-1979	231	15	results	result	NOUN
ajmsi-1979	231	16	with	with	ADP
ajmsi-1979	231	17	the	the	DET
ajmsi-1979	231	18	highest	high	ADJ
ajmsi-1979	231	19	accuracy	accuracy	NOUN
ajmsi-1979	231	20	and	and	CCONJ
ajmsi-1979	231	21	least	least	ADJ
ajmsi-1979	231	22	mean	mean	VERB
ajmsi-1979	231	23	square	square	ADJ
ajmsi-1979	231	24	error	error	NOUN
ajmsi-1979	231	25	for	for	ADP
ajmsi-1979	231	26	the	the	DET
ajmsi-1979	231	27	risk	risk	NOUN
ajmsi-1979	231	28	prediction	prediction	NOUN
ajmsi-1979	231	29	of	of	ADP
ajmsi-1979	231	30	thalassemia	thalassemia	NOUN
ajmsi-1979	231	31	.	.	PUNCT
ajmsi-1979	232	1	figure	figure	NOUN
ajmsi-1979	232	2	16	16	NUM
ajmsi-1979	232	3	:	:	PUNCT
ajmsi-1979	232	4	comparison	comparison	NOUN
ajmsi-1979	232	5	of	of	ADP
ajmsi-1979	232	6	j48	j48	PROPN
ajmsi-1979	232	7	,	,	PUNCT
ajmsi-1979	232	8	nb	nb	PROPN
ajmsi-1979	232	9	,	,	PUNCT
ajmsi-1979	232	10	smo	smo	PROPN
ajmsi-1979	232	11	,	,	PUNCT
ajmsi-1979	232	12	and	and	CCONJ
ajmsi-1979	232	13	mlp	mlp	PROPN
ajmsi-1979	232	14	algorithms	algorithm	NOUN
ajmsi-1979	232	15	using	use	VERB
ajmsi-1979	232	16	weka	weka	PROPN
ajmsi-1979	232	17	experimenter	experimenter	PROPN
ajmsi-1979	232	18	using	use	VERB
ajmsi-1979	232	19	f	f	NOUN
ajmsi-1979	232	20	-	-	PUNCT
ajmsi-1979	232	21	measure	measure	NOUN
ajmsi-1979	232	22	pa	pa	PROPN
ajmsi-1979	232	23	ge	ge	PROPN
ajmsi-1979	232	24	10	10	NUM
ajmsi-1979	232	25	8	8	NUM
ajmsi-1979	232	26	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	PROPN
ajmsi-1979	232	27	am	be	AUX
ajmsi-1979	232	28	.	.	PUNCT
ajmsi-1979	233	1	j.	j.	PROPN
ajmsi-1979	233	2	med	med	PROPN
ajmsi-1979	233	3	.	.	PUNCT
ajmsi-1979	234	1	sci	sci	PROPN
ajmsi-1979	234	2	.	.	PUNCT
ajmsi-1979	234	3	innov	innov	PROPN
ajmsi-1979	234	4	.	.	PUNCT
ajmsi-1979	235	1	2(2	2(2	NUM
ajmsi-1979	235	2	)	)	PUNCT
ajmsi-1979	235	3	97	97	NUM
ajmsi-1979	235	4	-	-	SYM
ajmsi-1979	235	5	109	109	NUM
ajmsi-1979	235	6	,	,	PUNCT
ajmsi-1979	235	7	2023	2023	NUM
ajmsi-1979	235	8	conclusion	conclusion	NOUN
ajmsi-1979	235	9	a	a	DET
ajmsi-1979	235	10	rapid	rapid	ADJ
ajmsi-1979	235	11	increase	increase	NOUN
ajmsi-1979	235	12	is	be	AUX
ajmsi-1979	235	13	observed	observe	VERB
ajmsi-1979	235	14	in	in	ADP
ajmsi-1979	235	15	inherited	inherit	VERB
ajmsi-1979	235	16	haemoglobin	haemoglobin	NOUN
ajmsi-1979	235	17	disorders	disorder	NOUN
ajmsi-1979	235	18	,	,	PUNCT
ajmsi-1979	235	19	and	and	CCONJ
ajmsi-1979	235	20	despite	despite	SCONJ
ajmsi-1979	235	21	the	the	DET
ajmsi-1979	235	22	efforts	effort	NOUN
ajmsi-1979	235	23	to	to	PART
ajmsi-1979	235	24	control	control	VERB
ajmsi-1979	235	25	the	the	DET
ajmsi-1979	235	26	spread	spread	NOUN
ajmsi-1979	235	27	of	of	ADP
ajmsi-1979	235	28	these	these	DET
ajmsi-1979	235	29	diseases	disease	NOUN
ajmsi-1979	235	30	,	,	PUNCT
ajmsi-1979	235	31	the	the	DET
ajmsi-1979	235	32	number	number	NOUN
ajmsi-1979	235	33	of	of	ADP
ajmsi-1979	235	34	major	major	ADJ
ajmsi-1979	235	35	cases	case	NOUN
ajmsi-1979	235	36	leading	lead	VERB
ajmsi-1979	235	37	to	to	ADP
ajmsi-1979	235	38	death	death	NOUN
ajmsi-1979	235	39	is	be	AUX
ajmsi-1979	235	40	increasing	increase	VERB
ajmsi-1979	235	41	.	.	PUNCT
ajmsi-1979	236	1	thalassemia	thalassemia	NOUN
ajmsi-1979	236	2	is	be	AUX
ajmsi-1979	236	3	one	one	NUM
ajmsi-1979	236	4	of	of	ADP
ajmsi-1979	236	5	these	these	DET
ajmsi-1979	236	6	inherited	inherit	VERB
ajmsi-1979	236	7	blood	blood	NOUN
ajmsi-1979	236	8	disorders	disorder	NOUN
ajmsi-1979	236	9	that	that	PRON
ajmsi-1979	236	10	has	have	AUX
ajmsi-1979	236	11	received	receive	VERB
ajmsi-1979	236	12	excessive	excessive	ADJ
ajmsi-1979	236	13	attention	attention	NOUN
ajmsi-1979	236	14	over	over	ADP
ajmsi-1979	236	15	the	the	DET
ajmsi-1979	236	16	years	year	NOUN
ajmsi-1979	236	17	in	in	ADP
ajmsi-1979	236	18	medical	medical	ADJ
ajmsi-1979	236	19	data	datum	NOUN
ajmsi-1979	236	20	mining	mining	NOUN
ajmsi-1979	236	21	.	.	PUNCT
ajmsi-1979	237	1	diagnosis	diagnosis	NOUN
ajmsi-1979	237	2	of	of	ADP
ajmsi-1979	237	3	thalassemia	thalassemia	NOUN
ajmsi-1979	237	4	is	be	AUX
ajmsi-1979	237	5	based	base	VERB
ajmsi-1979	237	6	on	on	ADP
ajmsi-1979	237	7	some	some	DET
ajmsi-1979	237	8	characteristics	characteristic	NOUN
ajmsi-1979	237	9	derived	derive	VERB
ajmsi-1979	237	10	after	after	ADP
ajmsi-1979	237	11	performing	perform	VERB
ajmsi-1979	237	12	the	the	DET
ajmsi-1979	237	13	cbc	cbc	NOUN
ajmsi-1979	237	14	test	test	NOUN
ajmsi-1979	237	15	.	.	PUNCT
ajmsi-1979	238	1	therefore	therefore	ADV
ajmsi-1979	238	2	,	,	PUNCT
ajmsi-1979	238	3	various	various	ADJ
ajmsi-1979	238	4	data	datum	NOUN
ajmsi-1979	238	5	mining	mining	NOUN
ajmsi-1979	238	6	techniques	technique	NOUN
ajmsi-1979	238	7	were	be	AUX
ajmsi-1979	238	8	utilised	utilise	VERB
ajmsi-1979	238	9	in	in	ADP
ajmsi-1979	238	10	this	this	DET
ajmsi-1979	238	11	research	research	NOUN
ajmsi-1979	238	12	to	to	PART
ajmsi-1979	238	13	identify	identify	VERB
ajmsi-1979	238	14	the	the	DET
ajmsi-1979	238	15	hidden	hide	VERB
ajmsi-1979	238	16	patterns	pattern	NOUN
ajmsi-1979	238	17	in	in	ADP
ajmsi-1979	238	18	the	the	DET
ajmsi-1979	238	19	given	give	VERB
ajmsi-1979	238	20	dataset	dataset	NOUN
ajmsi-1979	238	21	of	of	ADP
ajmsi-1979	238	22	cbc	cbc	PROPN
ajmsi-1979	238	23	test	test	NOUN
ajmsi-1979	238	24	results	result	NOUN
ajmsi-1979	238	25	for	for	ADP
ajmsi-1979	238	26	thalassemia	thalassemia	NOUN
ajmsi-1979	238	27	.	.	PUNCT
ajmsi-1979	239	1	the	the	DET
ajmsi-1979	239	2	research	research	NOUN
ajmsi-1979	239	3	was	be	AUX
ajmsi-1979	239	4	conducted	conduct	VERB
ajmsi-1979	239	5	for	for	ADP
ajmsi-1979	239	6	the	the	DET
ajmsi-1979	239	7	diagnosis	diagnosis	NOUN
ajmsi-1979	239	8	or	or	CCONJ
ajmsi-1979	239	9	risk	risk	NOUN
ajmsi-1979	239	10	prediction	prediction	NOUN
ajmsi-1979	239	11	of	of	ADP
ajmsi-1979	239	12	thalassemia	thalassemia	NOUN
ajmsi-1979	239	13	using	use	VERB
ajmsi-1979	239	14	data	datum	NOUN
ajmsi-1979	239	15	mining	mining	NOUN
ajmsi-1979	239	16	classification	classification	NOUN
ajmsi-1979	239	17	algorithms	algorithm	NOUN
ajmsi-1979	239	18	.	.	PUNCT
ajmsi-1979	240	1	the	the	DET
ajmsi-1979	240	2	selected	select	VERB
ajmsi-1979	240	3	classification	classification	NOUN
ajmsi-1979	240	4	algorithms	algorithm	NOUN
ajmsi-1979	240	5	for	for	ADP
ajmsi-1979	240	6	this	this	DET
ajmsi-1979	240	7	study	study	NOUN
ajmsi-1979	240	8	were	be	AUX
ajmsi-1979	240	9	naïve	naïve	ADJ
ajmsi-1979	240	10	bayes	bayes	NOUN
ajmsi-1979	240	11	,	,	PUNCT
ajmsi-1979	240	12	multilayer	multilayer	PROPN
ajmsi-1979	240	13	perceptron	perceptron	PROPN
ajmsi-1979	240	14	,	,	PUNCT
ajmsi-1979	240	15	j48	j48	PROPN
ajmsi-1979	240	16	and	and	CCONJ
ajmsi-1979	240	17	smo	smo	PROPN
ajmsi-1979	240	18	using	use	VERB
ajmsi-1979	240	19	the	the	DET
ajmsi-1979	240	20	weka	weka	PROPN
ajmsi-1979	240	21	data	data	PROPN
ajmsi-1979	240	22	-	-	PUNCT
ajmsi-1979	240	23	mining	mining	NOUN
ajmsi-1979	240	24	tool	tool	NOUN
ajmsi-1979	240	25	.	.	PUNCT
ajmsi-1979	241	1	further	far	ADV
ajmsi-1979	241	2	,	,	PUNCT
ajmsi-1979	241	3	it	it	PRON
ajmsi-1979	241	4	also	also	ADV
ajmsi-1979	241	5	analysed	analyse	VERB
ajmsi-1979	241	6	the	the	DET
ajmsi-1979	241	7	best	good	ADJ
ajmsi-1979	241	8	potential	potential	ADJ
ajmsi-1979	241	9	classification	classification	NOUN
ajmsi-1979	241	10	algorithm	algorithm	NOUN
ajmsi-1979	241	11	for	for	ADP
ajmsi-1979	241	12	thalassemia	thalassemia	NOUN
ajmsi-1979	241	13	by	by	ADP
ajmsi-1979	241	14	determining	determine	VERB
ajmsi-1979	241	15	accuracy	accuracy	NOUN
ajmsi-1979	241	16	,	,	PUNCT
ajmsi-1979	241	17	precision	precision	NOUN
ajmsi-1979	241	18	,	,	PUNCT
ajmsi-1979	241	19	recall	recall	NOUN
ajmsi-1979	241	20	,	,	PUNCT
ajmsi-1979	241	21	and	and	CCONJ
ajmsi-1979	241	22	f	f	X
ajmsi-1979	241	23	-	-	PUNCT
ajmsi-1979	241	24	measure	measure	NOUN
ajmsi-1979	241	25	using	use	VERB
ajmsi-1979	241	26	weka	weka	PROPN
ajmsi-1979	241	27	experimenter	experimenter	PROPN
ajmsi-1979	241	28	.	.	PUNCT
ajmsi-1979	242	1	the	the	DET
ajmsi-1979	242	2	data	datum	NOUN
ajmsi-1979	242	3	of	of	ADP
ajmsi-1979	242	4	301	301	NUM
ajmsi-1979	242	5	cbc	cbc	NOUN
ajmsi-1979	242	6	results	result	NOUN
ajmsi-1979	242	7	provided	provide	VERB
ajmsi-1979	242	8	by	by	ADP
ajmsi-1979	242	9	nibd	nibd	NOUN
ajmsi-1979	242	10	was	be	AUX
ajmsi-1979	242	11	divided	divide	VERB
ajmsi-1979	242	12	into	into	ADP
ajmsi-1979	242	13	training	training	NOUN
ajmsi-1979	242	14	and	and	CCONJ
ajmsi-1979	242	15	test	test	NOUN
ajmsi-1979	242	16	data	datum	NOUN
ajmsi-1979	242	17	,	,	PUNCT
ajmsi-1979	242	18	and	and	CCONJ
ajmsi-1979	242	19	it	it	PRON
ajmsi-1979	242	20	was	be	AUX
ajmsi-1979	242	21	pre	pre	VERB
ajmsi-1979	242	22	-	-	VERB
ajmsi-1979	242	23	processed	process	VERB
ajmsi-1979	242	24	by	by	ADP
ajmsi-1979	242	25	applying	apply	VERB
ajmsi-1979	242	26	a	a	DET
ajmsi-1979	242	27	resample	resample	ADJ
ajmsi-1979	242	28	filter	filter	NOUN
ajmsi-1979	242	29	on	on	ADP
ajmsi-1979	242	30	the	the	DET
ajmsi-1979	242	31	weka	weka	PROPN
ajmsi-1979	242	32	tool	tool	PROPN
ajmsi-1979	242	33	.	.	PUNCT
ajmsi-1979	243	1	for	for	ADP
ajmsi-1979	243	2	the	the	DET
ajmsi-1979	243	3	evaluation	evaluation	NOUN
ajmsi-1979	243	4	of	of	ADP
ajmsi-1979	243	5	different	different	ADJ
ajmsi-1979	243	6	data	datum	NOUN
ajmsi-1979	243	7	mining	mining	NOUN
ajmsi-1979	243	8	algorithms	algorithm	NOUN
ajmsi-1979	243	9	in	in	ADP
ajmsi-1979	243	10	this	this	DET
ajmsi-1979	243	11	research	research	NOUN
ajmsi-1979	243	12	,	,	PUNCT
ajmsi-1979	243	13	the	the	DET
ajmsi-1979	243	14	dataset	dataset	NOUN
ajmsi-1979	243	15	was	be	AUX
ajmsi-1979	243	16	categorised	categorise	VERB
ajmsi-1979	243	17	into	into	ADP
ajmsi-1979	243	18	10	10	NUM
ajmsi-1979	243	19	-	-	ADJ
ajmsi-1979	243	20	fold	fold	ADJ
ajmsi-1979	243	21	cross	cross	NOUN
ajmsi-1979	243	22	-	-	NOUN
ajmsi-1979	243	23	validation	validation	NOUN
ajmsi-1979	243	24	.	.	PUNCT
ajmsi-1979	244	1	the	the	DET
ajmsi-1979	244	2	results	result	NOUN
ajmsi-1979	244	3	were	be	AUX
ajmsi-1979	244	4	transformed	transform	VERB
ajmsi-1979	244	5	into	into	ADP
ajmsi-1979	244	6	a	a	DET
ajmsi-1979	244	7	csv	csv	NOUN
ajmsi-1979	244	8	file	file	NOUN
ajmsi-1979	244	9	showing	show	VERB
ajmsi-1979	244	10	the	the	DET
ajmsi-1979	244	11	‘	'	PUNCT
ajmsi-1979	244	12	predicted	predict	VERB
ajmsi-1979	244	13	margin	margin	NOUN
ajmsi-1979	244	14	’	'	PUNCT
ajmsi-1979	244	15	and	and	CCONJ
ajmsi-1979	244	16	‘	'	PUNCT
ajmsi-1979	244	17	predicting	predict	VERB
ajmsi-1979	244	18	status	status	NOUN
ajmsi-1979	244	19	’	'	PUNCT
ajmsi-1979	244	20	for	for	ADP
ajmsi-1979	244	21	risk	risk	NOUN
ajmsi-1979	244	22	prediction	prediction	NOUN
ajmsi-1979	244	23	of	of	ADP
ajmsi-1979	244	24	thalassemia	thalassemia	NOUN
ajmsi-1979	244	25	.	.	PUNCT
ajmsi-1979	245	1	results	result	NOUN
ajmsi-1979	245	2	revealed	reveal	VERB
ajmsi-1979	245	3	that	that	SCONJ
ajmsi-1979	245	4	after	after	ADP
ajmsi-1979	245	5	applying	apply	VERB
ajmsi-1979	245	6	four	four	NUM
ajmsi-1979	245	7	different	different	ADJ
ajmsi-1979	245	8	algorithms	algorithm	NOUN
ajmsi-1979	245	9	on	on	ADP
ajmsi-1979	245	10	the	the	DET
ajmsi-1979	245	11	training	training	NOUN
ajmsi-1979	245	12	dataset	dataset	NOUN
ajmsi-1979	245	13	,	,	PUNCT
ajmsi-1979	245	14	the	the	DET
ajmsi-1979	245	15	naïve	naïve	ADJ
ajmsi-1979	245	16	bayes	bayes	PROPN
ajmsi-1979	245	17	model	model	NOUN
ajmsi-1979	245	18	predicted	predict	VERB
ajmsi-1979	245	19	thalassemia	thalassemia	NOUN
ajmsi-1979	245	20	with	with	ADP
ajmsi-1979	245	21	the	the	DET
ajmsi-1979	245	22	highest	high	ADJ
ajmsi-1979	245	23	accuracy	accuracy	NOUN
ajmsi-1979	245	24	of	of	ADP
ajmsi-1979	245	25	99.0	99.0	NUM
ajmsi-1979	245	26	%	%	NOUN
ajmsi-1979	245	27	accuracy	accuracy	NOUN
ajmsi-1979	245	28	rate	rate	NOUN
ajmsi-1979	245	29	suggesting	suggest	VERB
ajmsi-1979	245	30	that	that	SCONJ
ajmsi-1979	245	31	119	119	NUM
ajmsi-1979	245	32	cbc	cbc	PROPN
ajmsi-1979	245	33	test	test	NOUN
ajmsi-1979	245	34	results	result	NOUN
ajmsi-1979	245	35	for	for	ADP
ajmsi-1979	245	36	thalassemia	thalassemia	NOUN
ajmsi-1979	245	37	are	be	AUX
ajmsi-1979	245	38	positive	positive	ADJ
ajmsi-1979	245	39	,	,	PUNCT
ajmsi-1979	245	40	where	where	SCONJ
ajmsi-1979	245	41	79	79	NUM
ajmsi-1979	245	42	are	be	AUX
ajmsi-1979	245	43	negative	negative	ADJ
ajmsi-1979	245	44	based	base	VERB
ajmsi-1979	245	45	on	on	ADP
ajmsi-1979	245	46	the	the	DET
ajmsi-1979	245	47	given	give	VERB
ajmsi-1979	245	48	data	datum	NOUN
ajmsi-1979	245	49	.	.	PUNCT
ajmsi-1979	246	1	future	future	ADJ
ajmsi-1979	246	2	work	work	NOUN
ajmsi-1979	246	3	this	this	DET
ajmsi-1979	246	4	research	research	NOUN
ajmsi-1979	246	5	was	be	AUX
ajmsi-1979	246	6	conducted	conduct	VERB
ajmsi-1979	246	7	by	by	ADP
ajmsi-1979	246	8	applying	apply	VERB
ajmsi-1979	246	9	different	different	ADJ
ajmsi-1979	246	10	classification	classification	NOUN
ajmsi-1979	246	11	algorithms	algorithm	NOUN
ajmsi-1979	246	12	to	to	PART
ajmsi-1979	246	13	get	get	VERB
ajmsi-1979	246	14	the	the	DET
ajmsi-1979	246	15	best	good	ADJ
ajmsi-1979	246	16	prediction	prediction	NOUN
ajmsi-1979	246	17	or	or	CCONJ
ajmsi-1979	246	18	diagnosis	diagnosis	NOUN
ajmsi-1979	246	19	of	of	ADP
ajmsi-1979	246	20	thalassemia	thalassemia	NOUN
ajmsi-1979	246	21	based	base	VERB
ajmsi-1979	246	22	on	on	ADP
ajmsi-1979	246	23	the	the	DET
ajmsi-1979	246	24	dataset	dataset	NOUN
ajmsi-1979	246	25	of	of	ADP
ajmsi-1979	246	26	301	301	NUM
ajmsi-1979	246	27	constructed	construct	VERB
ajmsi-1979	246	28	of	of	ADP
ajmsi-1979	246	29	cbc	cbc	PROPN
ajmsi-1979	246	30	results	result	NOUN
ajmsi-1979	246	31	.	.	PUNCT
ajmsi-1979	247	1	in	in	ADP
ajmsi-1979	247	2	the	the	DET
ajmsi-1979	247	3	future	future	NOUN
ajmsi-1979	247	4	,	,	PUNCT
ajmsi-1979	247	5	the	the	DET
ajmsi-1979	247	6	research	research	NOUN
ajmsi-1979	247	7	work	work	NOUN
ajmsi-1979	247	8	can	can	AUX
ajmsi-1979	247	9	be	be	AUX
ajmsi-1979	247	10	expanded	expand	VERB
ajmsi-1979	247	11	by	by	ADP
ajmsi-1979	247	12	using	use	VERB
ajmsi-1979	247	13	more	more	ADJ
ajmsi-1979	247	14	types	type	NOUN
ajmsi-1979	247	15	of	of	ADP
ajmsi-1979	247	16	data	datum	NOUN
ajmsi-1979	247	17	mining	mining	NOUN
ajmsi-1979	247	18	algorithms	algorithm	NOUN
ajmsi-1979	247	19	,	,	PUNCT
ajmsi-1979	247	20	such	such	ADJ
ajmsi-1979	247	21	as	as	ADP
ajmsi-1979	247	22	clustering	clustering	NOUN
ajmsi-1979	247	23	or	or	CCONJ
ajmsi-1979	247	24	association	association	NOUN
ajmsi-1979	247	25	rules	rule	NOUN
ajmsi-1979	247	26	,	,	PUNCT
ajmsi-1979	247	27	to	to	PART
ajmsi-1979	247	28	identify	identify	VERB
ajmsi-1979	247	29	the	the	DET
ajmsi-1979	247	30	best	well	ADV
ajmsi-1979	247	31	-	-	PUNCT
ajmsi-1979	247	32	performing	perform	VERB
ajmsi-1979	247	33	algorithm	algorithm	NOUN
ajmsi-1979	247	34	based	base	VERB
ajmsi-1979	247	35	on	on	ADP
ajmsi-1979	247	36	the	the	DET
ajmsi-1979	247	37	given	give	VERB
ajmsi-1979	247	38	dataset	dataset	NOUN
ajmsi-1979	247	39	.	.	PUNCT
ajmsi-1979	248	1	association	association	NOUN
ajmsi-1979	248	2	rules	rule	NOUN
ajmsi-1979	248	3	can	can	AUX
ajmsi-1979	248	4	be	be	AUX
ajmsi-1979	248	5	used	use	VERB
ajmsi-1979	248	6	to	to	PART
ajmsi-1979	248	7	identify	identify	VERB
ajmsi-1979	248	8	important	important	ADJ
ajmsi-1979	248	9	relations	relation	NOUN
ajmsi-1979	248	10	among	among	ADP
ajmsi-1979	248	11	different	different	ADJ
ajmsi-1979	248	12	attributes	attribute	NOUN
ajmsi-1979	248	13	of	of	ADP
ajmsi-1979	248	14	the	the	DET
ajmsi-1979	248	15	given	give	VERB
ajmsi-1979	248	16	dataset	dataset	NOUN
ajmsi-1979	248	17	to	to	PART
ajmsi-1979	248	18	detect	detect	VERB
ajmsi-1979	248	19	the	the	DET
ajmsi-1979	248	20	type	type	NOUN
ajmsi-1979	248	21	of	of	ADP
ajmsi-1979	248	22	blood	blood	NOUN
ajmsi-1979	248	23	disease	disease	NOUN
ajmsi-1979	248	24	.	.	PUNCT
ajmsi-1979	249	1	furthermore	furthermore	ADV
ajmsi-1979	249	2	,	,	PUNCT
ajmsi-1979	249	3	in	in	ADP
ajmsi-1979	249	4	the	the	DET
ajmsi-1979	249	5	future	future	NOUN
ajmsi-1979	249	6	,	,	PUNCT
ajmsi-1979	249	7	the	the	DET
ajmsi-1979	249	8	aim	aim	NOUN
ajmsi-1979	249	9	of	of	ADP
ajmsi-1979	249	10	the	the	DET
ajmsi-1979	249	11	analysis	analysis	NOUN
ajmsi-1979	249	12	could	could	AUX
ajmsi-1979	249	13	be	be	AUX
ajmsi-1979	249	14	slightly	slightly	ADV
ajmsi-1979	249	15	different	different	ADJ
ajmsi-1979	249	16	,	,	PUNCT
ajmsi-1979	249	17	such	such	ADJ
ajmsi-1979	249	18	as	as	ADP
ajmsi-1979	249	19	identifying	identify	VERB
ajmsi-1979	249	20	the	the	DET
ajmsi-1979	249	21	survival	survival	NOUN
ajmsi-1979	249	22	rate	rate	NOUN
ajmsi-1979	249	23	of	of	ADP
ajmsi-1979	249	24	thalassemia	thalassemia	NOUN
ajmsi-1979	249	25	patients	patient	NOUN
ajmsi-1979	249	26	,	,	PUNCT
ajmsi-1979	249	27	classifying	classify	VERB
ajmsi-1979	249	28	between	between	ADP
ajmsi-1979	249	29	anaemia	anaemia	NOUN
ajmsi-1979	249	30	and	and	CCONJ
ajmsi-1979	249	31	thalassemia	thalassemia	NOUN
ajmsi-1979	249	32	,	,	PUNCT
ajmsi-1979	249	33	or	or	CCONJ
ajmsi-1979	249	34	developing	develop	VERB
ajmsi-1979	249	35	a	a	DET
ajmsi-1979	249	36	classification	classification	NOUN
ajmsi-1979	249	37	model	model	NOUN
ajmsi-1979	249	38	for	for	ADP
ajmsi-1979	249	39	the	the	DET
ajmsi-1979	249	40	different	different	ADJ
ajmsi-1979	249	41	types	type	NOUN
ajmsi-1979	249	42	of	of	ADP
ajmsi-1979	249	43	thalassemia	thalassemia	NOUN
ajmsi-1979	249	44	.	.	PUNCT
ajmsi-1979	250	1	moreover	moreover	ADV
ajmsi-1979	250	2	,	,	PUNCT
ajmsi-1979	250	3	a	a	DET
ajmsi-1979	250	4	big	big	ADJ
ajmsi-1979	250	5	dataset	dataset	NOUN
ajmsi-1979	250	6	can	can	AUX
ajmsi-1979	250	7	be	be	AUX
ajmsi-1979	250	8	selected	select	VERB
ajmsi-1979	250	9	or	or	CCONJ
ajmsi-1979	250	10	requested	request	VERB
ajmsi-1979	250	11	from	from	ADP
ajmsi-1979	250	12	nibd	nibd	NOUN
ajmsi-1979	250	13	or	or	CCONJ
ajmsi-1979	250	14	any	any	DET
ajmsi-1979	250	15	other	other	ADJ
ajmsi-1979	250	16	organization	organization	NOUN
ajmsi-1979	250	17	in	in	ADP
ajmsi-1979	250	18	pakistan	pakistan	PROPN
ajmsi-1979	250	19	to	to	PART
ajmsi-1979	250	20	present	present	VERB
ajmsi-1979	250	21	more	more	ADV
ajmsi-1979	250	22	genuine	genuine	ADJ
ajmsi-1979	250	23	and	and	CCONJ
ajmsi-1979	250	24	authentic	authentic	ADJ
ajmsi-1979	250	25	results	result	NOUN
ajmsi-1979	250	26	,	,	PUNCT
ajmsi-1979	250	27	training	train	VERB
ajmsi-1979	250	28	the	the	DET
ajmsi-1979	250	29	model	model	NOUN
ajmsi-1979	250	30	with	with	ADP
ajmsi-1979	250	31	the	the	DET
ajmsi-1979	250	32	highest	high	ADJ
ajmsi-1979	250	33	possible	possible	ADJ
ajmsi-1979	250	34	accuracy	accuracy	NOUN
ajmsi-1979	250	35	.	.	PUNCT
ajmsi-1979	251	1	in	in	ADP
ajmsi-1979	251	2	addition	addition	NOUN
ajmsi-1979	251	3	,	,	PUNCT
ajmsi-1979	251	4	the	the	DET
ajmsi-1979	251	5	big	big	ADJ
ajmsi-1979	251	6	dataset	dataset	NOUN
ajmsi-1979	251	7	can	can	AUX
ajmsi-1979	251	8	be	be	AUX
ajmsi-1979	251	9	divided	divide	VERB
ajmsi-1979	251	10	into	into	ADP
ajmsi-1979	251	11	training	training	NOUN
ajmsi-1979	251	12	and	and	CCONJ
ajmsi-1979	251	13	test	test	NOUN
ajmsi-1979	251	14	data	datum	NOUN
ajmsi-1979	251	15	by	by	ADP
ajmsi-1979	251	16	setting	set	VERB
ajmsi-1979	251	17	up	up	ADP
ajmsi-1979	251	18	different	different	ADJ
ajmsi-1979	251	19	split	split	NOUN
ajmsi-1979	251	20	-	-	PUNCT
ajmsi-1979	251	21	up	up	ADP
ajmsi-1979	251	22	percentages	percentage	NOUN
ajmsi-1979	251	23	for	for	ADP
ajmsi-1979	251	24	training	train	VERB
ajmsi-1979	251	25	data	datum	NOUN
ajmsi-1979	251	26	to	to	PART
ajmsi-1979	251	27	analyse	analyse	VERB
ajmsi-1979	251	28	which	which	DET
ajmsi-1979	251	29	dataset	dataset	VERB
ajmsi-1979	251	30	is	be	AUX
ajmsi-1979	251	31	capable	capable	ADJ
ajmsi-1979	251	32	of	of	ADP
ajmsi-1979	251	33	the	the	DET
ajmsi-1979	251	34	highest	high	ADJ
ajmsi-1979	251	35	performance	performance	NOUN
ajmsi-1979	251	36	results	result	NOUN
ajmsi-1979	251	37	.	.	PUNCT
ajmsi-1979	252	1	future	future	ADJ
ajmsi-1979	252	2	work	work	NOUN
ajmsi-1979	252	3	can	can	AUX
ajmsi-1979	252	4	be	be	AUX
ajmsi-1979	252	5	conducted	conduct	VERB
ajmsi-1979	252	6	by	by	ADP
ajmsi-1979	252	7	comparing	compare	VERB
ajmsi-1979	252	8	the	the	DET
ajmsi-1979	252	9	cbc	cbc	PROPN
ajmsi-1979	252	10	report	report	NOUN
ajmsi-1979	252	11	’s	’s	PART
ajmsi-1979	252	12	other	other	ADJ
ajmsi-1979	252	13	parameters	parameter	NOUN
ajmsi-1979	252	14	and	and	CCONJ
ajmsi-1979	252	15	identifying	identify	VERB
ajmsi-1979	252	16	the	the	DET
ajmsi-1979	252	17	core	core	NOUN
ajmsi-1979	252	18	relationship	relationship	NOUN
ajmsi-1979	252	19	with	with	ADP
ajmsi-1979	252	20	the	the	DET
ajmsi-1979	252	21	variables	variable	NOUN
ajmsi-1979	252	22	that	that	PRON
ajmsi-1979	252	23	can	can	AUX
ajmsi-1979	252	24	cause	cause	VERB
ajmsi-1979	252	25	different	different	ADJ
ajmsi-1979	252	26	blood	blood	NOUN
ajmsi-1979	252	27	diseases	disease	NOUN
ajmsi-1979	252	28	.	.	PUNCT
ajmsi-1979	253	1	the	the	DET
ajmsi-1979	253	2	data	data	NOUN
ajmsi-1979	253	3	mining	mining	NOUN
ajmsi-1979	253	4	techniques	technique	NOUN
ajmsi-1979	253	5	are	be	AUX
ajmsi-1979	253	6	very	very	ADV
ajmsi-1979	253	7	powerful	powerful	ADJ
ajmsi-1979	253	8	,	,	PUNCT
ajmsi-1979	253	9	but	but	CCONJ
ajmsi-1979	253	10	they	they	PRON
ajmsi-1979	253	11	should	should	AUX
ajmsi-1979	253	12	be	be	AUX
ajmsi-1979	253	13	used	use	VERB
ajmsi-1979	253	14	with	with	ADP
ajmsi-1979	253	15	great	great	ADJ
ajmsi-1979	253	16	care	care	NOUN
ajmsi-1979	253	17	in	in	ADP
ajmsi-1979	253	18	the	the	DET
ajmsi-1979	253	19	field	field	NOUN
ajmsi-1979	253	20	of	of	ADP
ajmsi-1979	253	21	medicine	medicine	NOUN
ajmsi-1979	253	22	,	,	PUNCT
ajmsi-1979	253	23	and	and	CCONJ
ajmsi-1979	253	24	therefore	therefore	ADV
ajmsi-1979	253	25	,	,	PUNCT
ajmsi-1979	253	26	there	there	PRON
ajmsi-1979	253	27	is	be	VERB
ajmsi-1979	253	28	a	a	DET
ajmsi-1979	253	29	need	need	NOUN
ajmsi-1979	253	30	to	to	PART
ajmsi-1979	253	31	discover	discover	VERB
ajmsi-1979	253	32	the	the	DET
ajmsi-1979	253	33	best	good	ADJ
ajmsi-1979	253	34	mining	mining	NOUN
ajmsi-1979	253	35	algorithm	algorithm	NOUN
ajmsi-1979	253	36	for	for	ADP
ajmsi-1979	253	37	the	the	DET
ajmsi-1979	253	38	specified	specify	VERB
ajmsi-1979	253	39	medical	medical	ADJ
ajmsi-1979	253	40	area	area	NOUN
ajmsi-1979	253	41	in	in	ADP
ajmsi-1979	253	42	the	the	DET
ajmsi-1979	253	43	future	future	NOUN
ajmsi-1979	253	44	.	.	PUNCT
ajmsi-1979	254	1	acknowledgements	acknowledgement	NOUN
ajmsi-1979	254	2	we	we	PRON
ajmsi-1979	254	3	express	express	VERB
ajmsi-1979	254	4	our	our	PRON
ajmsi-1979	254	5	deepest	deep	ADJ
ajmsi-1979	254	6	gratitude	gratitude	NOUN
ajmsi-1979	254	7	to	to	ADP
ajmsi-1979	254	8	our	our	PRON
ajmsi-1979	254	9	independent	independent	ADJ
ajmsi-1979	254	10	research	research	NOUN
ajmsi-1979	254	11	project	project	NOUN
ajmsi-1979	254	12	supervisor	supervisor	NOUN
ajmsi-1979	254	13	,	,	PUNCT
ajmsi-1979	254	14	dr	dr	PROPN
ajmsi-1979	254	15	.	.	PROPN
ajmsi-1979	254	16	raheela	raheela	PROPN
ajmsi-1979	254	17	asif	asif	PROPN
ajmsi-1979	254	18	(	(	PUNCT
ajmsi-1979	254	19	department	department	NOUN
ajmsi-1979	254	20	of	of	ADP
ajmsi-1979	254	21	software	software	NOUN
ajmsi-1979	254	22	engineering	engineering	NOUN
ajmsi-1979	254	23	,	,	PUNCT
ajmsi-1979	254	24	ned	ned	PROPN
ajmsi-1979	254	25	university	university	NOUN
ajmsi-1979	254	26	of	of	ADP
ajmsi-1979	254	27	engineering	engineering	PROPN
ajmsi-1979	254	28	&	&	CCONJ
ajmsi-1979	254	29	technology	technology	PROPN
ajmsi-1979	254	30	,	,	PUNCT
ajmsi-1979	254	31	university	university	NOUN
ajmsi-1979	254	32	road	road	NOUN
ajmsi-1979	254	33	,	,	PUNCT
ajmsi-1979	254	34	karachi	karachi	PROPN
ajmsi-1979	254	35	75270	75270	NUM
ajmsi-1979	254	36	,	,	PUNCT
ajmsi-1979	254	37	pakistan	pakistan	PROPN
ajmsi-1979	254	38	)	)	PUNCT
ajmsi-1979	254	39	,	,	PUNCT
ajmsi-1979	254	40	for	for	ADP
ajmsi-1979	254	41	her	her	PRON
ajmsi-1979	254	42	relentless	relentless	ADJ
ajmsi-1979	254	43	assistance	assistance	NOUN
ajmsi-1979	254	44	throughout	throughout	ADP
ajmsi-1979	254	45	the	the	DET
ajmsi-1979	254	46	research	research	NOUN
ajmsi-1979	254	47	.	.	PUNCT
ajmsi-1979	255	1	we	we	PRON
ajmsi-1979	255	2	are	be	AUX
ajmsi-1979	255	3	also	also	ADV
ajmsi-1979	255	4	grateful	grateful	ADJ
ajmsi-1979	255	5	to	to	ADP
ajmsi-1979	255	6	nibd	nibd	PROPN
ajmsi-1979	255	7	(	(	PUNCT
ajmsi-1979	255	8	national	national	PROPN
ajmsi-1979	255	9	institute	institute	PROPN
ajmsi-1979	255	10	of	of	ADP
ajmsi-1979	255	11	blood	blood	NOUN
ajmsi-1979	255	12	diseases	disease	NOUN
ajmsi-1979	255	13	)	)	PUNCT
ajmsi-1979	255	14	,	,	PUNCT
ajmsi-1979	255	15	karachi	karachi	PROPN
ajmsi-1979	255	16	city	city	PROPN
ajmsi-1979	255	17	,	,	PUNCT
ajmsi-1979	255	18	sindh	sindh	PROPN
ajmsi-1979	255	19	,	,	PUNCT
ajmsi-1979	255	20	pakistan	pakistan	PROPN
ajmsi-1979	255	21	,	,	PUNCT
ajmsi-1979	255	22	for	for	ADP
ajmsi-1979	255	23	providing	provide	VERB
ajmsi-1979	255	24	data	datum	NOUN
ajmsi-1979	255	25	for	for	ADP
ajmsi-1979	255	26	this	this	DET
ajmsi-1979	255	27	research	research	NOUN
ajmsi-1979	255	28	.	.	PUNCT
ajmsi-1979	256	1	references	reference	NOUN
ajmsi-1979	256	2	abdullah	abdullah	PROPN
ajmsi-1979	256	3	,	,	PUNCT
ajmsi-1979	256	4	m.	m.	NOUN
ajmsi-1979	256	5	,	,	PUNCT
ajmsi-1979	256	6	&	&	CCONJ
ajmsi-1979	256	7	al	al	PROPN
ajmsi-1979	256	8	-	-	PUNCT
ajmsi-1979	256	9	asmari	asmari	PROPN
ajmsi-1979	256	10	,	,	PUNCT
ajmsi-1979	256	11	s.	s.	PROPN
ajmsi-1979	256	12	(	(	PUNCT
ajmsi-1979	256	13	2016	2016	NUM
ajmsi-1979	256	14	)	)	PUNCT
ajmsi-1979	256	15	.	.	PUNCT
ajmsi-1979	257	1	anemia	anemia	NOUN
ajmsi-1979	257	2	types	type	NOUN
ajmsi-1979	257	3	prediction	prediction	NOUN
ajmsi-1979	257	4	based	base	VERB
ajmsi-1979	257	5	on	on	ADP
ajmsi-1979	257	6	data	datum	NOUN
ajmsi-1979	257	7	mining	mining	NOUN
ajmsi-1979	257	8	classification	classification	NOUN
ajmsi-1979	257	9	algorithms	algorithm	NOUN
ajmsi-1979	257	10	.	.	PUNCT
ajmsi-1979	258	1	in	in	ADP
ajmsi-1979	258	2	communication	communication	NOUN
ajmsi-1979	258	3	,	,	PUNCT
ajmsi-1979	258	4	management	management	NOUN
ajmsi-1979	258	5	and	and	CCONJ
ajmsi-1979	258	6	information	information	NOUN
ajmsi-1979	258	7	technology	technology	NOUN
ajmsi-1979	258	8	(	(	PUNCT
ajmsi-1979	258	9	pp	pp	ADJ
ajmsi-1979	258	10	.	.	PUNCT
ajmsi-1979	259	1	629	629	NUM
ajmsi-1979	259	2	-	-	SYM
ajmsi-1979	259	3	636	636	NUM
ajmsi-1979	259	4	)	)	PUNCT
ajmsi-1979	259	5	.	.	PUNCT
ajmsi-1979	260	1	crc	crc	PROPN
ajmsi-1979	260	2	press	press	PROPN
ajmsi-1979	260	3	.	.	PUNCT
ajmsi-1979	261	1	alaa	alaa	PROPN
ajmsi-1979	261	2	,	,	PUNCT
ajmsi-1979	261	3	m.	m.	NOUN
ajmsi-1979	261	4	,	,	PUNCT
ajmsi-1979	261	5	&	&	CCONJ
ajmsi-1979	261	6	shurrab	shurrab	PROPN
ajmsi-1979	261	7	,	,	PUNCT
ajmsi-1979	261	8	a.	a.	NOUN
ajmsi-1979	261	9	h.	h.	PROPN
ajmsi-1979	261	10	(	(	PUNCT
ajmsi-1979	261	11	2017	2017	NUM
ajmsi-1979	261	12	)	)	PUNCT
ajmsi-1979	261	13	.	.	PUNCT
ajmsi-1979	262	1	blood	blood	NOUN
ajmsi-1979	262	2	tumor	tumor	NOUN
ajmsi-1979	262	3	prediction	prediction	NOUN
ajmsi-1979	262	4	using	use	VERB
ajmsi-1979	262	5	data	datum	NOUN
ajmsi-1979	262	6	mining	mining	NOUN
ajmsi-1979	262	7	techniques	technique	NOUN
ajmsi-1979	262	8	.	.	PUNCT
ajmsi-1979	263	1	health	health	NOUN
ajmsi-1979	263	2	informatics	informatic	NOUN
ajmsi-1979	263	3	—	—	PUNCT
ajmsi-1979	263	4	an	an	DET
ajmsi-1979	263	5	international	international	ADJ
ajmsi-1979	263	6	journal	journal	NOUN
ajmsi-1979	263	7	,	,	PUNCT
ajmsi-1979	263	8	6	6	NUM
ajmsi-1979	263	9	,	,	PUNCT
ajmsi-1979	263	10	23	23	NUM
ajmsi-1979	263	11	-	-	SYM
ajmsi-1979	263	12	30	30	NUM
ajmsi-1979	263	13	.	.	PUNCT
ajmsi-1979	264	1	alagha	alagha	PROPN
ajmsi-1979	264	2	,	,	PUNCT
ajmsi-1979	264	3	a.	a.	PROPN
ajmsi-1979	264	4	s.	s.	PROPN
ajmsi-1979	264	5	,	,	PUNCT
ajmsi-1979	264	6	faris	faris	PROPN
ajmsi-1979	264	7	,	,	PUNCT
ajmsi-1979	264	8	h.	h.	PROPN
ajmsi-1979	264	9	,	,	PUNCT
ajmsi-1979	264	10	hammo	hammo	PROPN
ajmsi-1979	264	11	,	,	PUNCT
ajmsi-1979	264	12	b.	b.	PROPN
ajmsi-1979	264	13	h.	h.	PROPN
ajmsi-1979	264	14	,	,	PUNCT
ajmsi-1979	264	15	&	&	CCONJ
ajmsi-1979	264	16	ala’m	ala’m	PROPN
ajmsi-1979	264	17	,	,	PUNCT
ajmsi-1979	264	18	a.z	a.z	PROPN
ajmsi-1979	264	19	.	.	PROPN
ajmsi-1979	264	20	(	(	PUNCT
ajmsi-1979	264	21	2018	2018	NUM
ajmsi-1979	264	22	)	)	PUNCT
ajmsi-1979	264	23	.	.	PUNCT
ajmsi-1979	265	1	identifying	identify	VERB
ajmsi-1979	265	2	β	β	X
ajmsi-1979	265	3	-	-	PUNCT
ajmsi-1979	265	4	thalassemia	thalassemia	NOUN
ajmsi-1979	265	5	carriers	carrier	NOUN
ajmsi-1979	265	6	using	use	VERB
ajmsi-1979	265	7	a	a	DET
ajmsi-1979	265	8	data	data	NOUN
ajmsi-1979	265	9	mining	mining	NOUN
ajmsi-1979	265	10	approach	approach	NOUN
ajmsi-1979	265	11	:	:	PUNCT
ajmsi-1979	265	12	the	the	DET
ajmsi-1979	265	13	case	case	NOUN
ajmsi-1979	265	14	of	of	ADP
ajmsi-1979	265	15	the	the	DET
ajmsi-1979	265	16	gaza	gaza	PROPN
ajmsi-1979	265	17	strip	strip	PROPN
ajmsi-1979	265	18	,	,	PUNCT
ajmsi-1979	265	19	palestine	palestine	PROPN
ajmsi-1979	265	20	.	.	PUNCT
ajmsi-1979	266	1	artificial	artificial	ADJ
ajmsi-1979	266	2	intelligence	intelligence	NOUN
ajmsi-1979	266	3	in	in	ADP
ajmsi-1979	266	4	medicine	medicine	NOUN
ajmsi-1979	266	5	,	,	PUNCT
ajmsi-1979	266	6	88	88	NUM
ajmsi-1979	266	7	,	,	PUNCT
ajmsi-1979	266	8	70	70	NUM
ajmsi-1979	266	9	-	-	SYM
ajmsi-1979	266	10	83	83	NUM
ajmsi-1979	266	11	.	.	PUNCT
ajmsi-1979	267	1	alam	alam	PROPN
ajmsi-1979	267	2	,	,	PUNCT
ajmsi-1979	267	3	b.	b.	PROPN
ajmsi-1979	267	4	r.	r.	PROPN
ajmsi-1979	267	5	,	,	PUNCT
ajmsi-1979	267	6	khatun	khatun	PROPN
ajmsi-1979	267	7	,	,	PUNCT
ajmsi-1979	267	8	m.	m.	NOUN
ajmsi-1979	267	9	s.	s.	PROPN
ajmsi-1979	267	10	,	,	PUNCT
ajmsi-1979	267	11	taslim	taslim	PROPN
ajmsi-1979	267	12	,	,	PUNCT
ajmsi-1979	267	13	m.	m.	NOUN
ajmsi-1979	267	14	,	,	PUNCT
ajmsi-1979	267	15	&	&	CCONJ
ajmsi-1979	267	16	hossain	hossain	PROPN
ajmsi-1979	267	17	,	,	PUNCT
ajmsi-1979	267	18	m.	m.	NOUN
ajmsi-1979	267	19	a.	a.	NOUN
ajmsi-1979	267	20	(	(	PUNCT
ajmsi-1979	267	21	2022	2022	NUM
ajmsi-1979	267	22	)	)	PUNCT
ajmsi-1979	267	23	.	.	PUNCT
ajmsi-1979	268	1	handling	handle	VERB
ajmsi-1979	268	2	class	class	NOUN
ajmsi-1979	268	3	imbalance	imbalance	NOUN
ajmsi-1979	268	4	in	in	ADP
ajmsi-1979	268	5	credit	credit	NOUN
ajmsi-1979	268	6	card	card	NOUN
ajmsi-1979	268	7	fraud	fraud	NOUN
ajmsi-1979	268	8	using	use	VERB
ajmsi-1979	268	9	various	various	ADJ
ajmsi-1979	268	10	sampling	sample	VERB
ajmsi-1979	268	11	techniques	technique	NOUN
ajmsi-1979	268	12	.	.	PUNCT
ajmsi-1979	269	1	american	american	ADJ
ajmsi-1979	269	2	journal	journal	PROPN
ajmsi-1979	269	3	of	of	ADP
ajmsi-1979	269	4	multidisciplinary	multidisciplinary	ADJ
ajmsi-1979	269	5	research	research	NOUN
ajmsi-1979	269	6	and	and	CCONJ
ajmsi-1979	269	7	innovation	innovation	NOUN
ajmsi-1979	269	8	,	,	PUNCT
ajmsi-1979	269	9	1(4	1(4	NUM
ajmsi-1979	269	10	)	)	PUNCT
ajmsi-1979	269	11	,	,	PUNCT
ajmsi-1979	269	12	160	160	NUM
ajmsi-1979	269	13	-	-	SYM
ajmsi-1979	269	14	168	168	NUM
ajmsi-1979	269	15	.	.	PUNCT
ajmsi-1979	270	1	amin	amin	PROPN
ajmsi-1979	270	2	,	,	PUNCT
ajmsi-1979	270	3	m.	m.	NOUN
ajmsi-1979	270	4	n.	n.	PROPN
ajmsi-1979	270	5	,	,	PUNCT
ajmsi-1979	270	6	&	&	CCONJ
ajmsi-1979	270	7	habib	habib	PROPN
ajmsi-1979	270	8	,	,	PUNCT
ajmsi-1979	270	9	m.	m.	NOUN
ajmsi-1979	270	10	a.	a.	NOUN
ajmsi-1979	270	11	(	(	PUNCT
ajmsi-1979	270	12	2015	2015	NUM
ajmsi-1979	270	13	)	)	PUNCT
ajmsi-1979	270	14	.	.	PUNCT
ajmsi-1979	271	1	comparison	comparison	NOUN
ajmsi-1979	271	2	of	of	ADP
ajmsi-1979	271	3	different	different	ADJ
ajmsi-1979	271	4	classification	classification	NOUN
ajmsi-1979	271	5	techniques	technique	NOUN
ajmsi-1979	271	6	using	use	VERB
ajmsi-1979	271	7	weka	weka	NOUN
ajmsi-1979	271	8	for	for	ADP
ajmsi-1979	271	9	hematological	hematological	ADJ
ajmsi-1979	271	10	data	datum	NOUN
ajmsi-1979	271	11	.	.	PUNCT
ajmsi-1979	272	1	american	american	PROPN
ajmsi-1979	272	2	journal	journal	PROPN
ajmsi-1979	272	3	of	of	ADP
ajmsi-1979	272	4	engineering	engineering	NOUN
ajmsi-1979	272	5	research	research	NOUN
ajmsi-1979	272	6	,	,	PUNCT
ajmsi-1979	272	7	4(3	4(3	NUM
ajmsi-1979	272	8	)	)	PUNCT
ajmsi-1979	272	9	,	,	PUNCT
ajmsi-1979	272	10	55	55	NUM
ajmsi-1979	272	11	-	-	SYM
ajmsi-1979	272	12	61	61	NUM
ajmsi-1979	272	13	.	.	PUNCT
ajmsi-1979	273	1	an	an	DET
ajmsi-1979	273	2	,	,	PUNCT
ajmsi-1979	273	3	y.	y.	PROPN
ajmsi-1979	273	4	,	,	PUNCT
ajmsi-1979	273	5	sun	sun	PROPN
ajmsi-1979	273	6	,	,	PUNCT
ajmsi-1979	273	7	s.	s.	PROPN
ajmsi-1979	273	8	,	,	PUNCT
ajmsi-1979	273	9	&	&	CCONJ
ajmsi-1979	273	10	wang	wang	PROPN
ajmsi-1979	273	11	,	,	PUNCT
ajmsi-1979	273	12	s.	s.	PROPN
ajmsi-1979	273	13	(	(	PUNCT
ajmsi-1979	273	14	2017	2017	NUM
ajmsi-1979	273	15	)	)	PUNCT
ajmsi-1979	273	16	.	.	PUNCT
ajmsi-1979	274	1	naive	naive	ADJ
ajmsi-1979	274	2	bayes	bayes	PROPN
ajmsi-1979	274	3	classifiers	classifier	NOUN
ajmsi-1979	274	4	for	for	ADP
ajmsi-1979	274	5	music	music	NOUN
ajmsi-1979	274	6	emotion	emotion	NOUN
ajmsi-1979	274	7	classification	classification	NOUN
ajmsi-1979	274	8	based	base	VERB
ajmsi-1979	274	9	on	on	ADP
ajmsi-1979	274	10	lyrics	lyric	NOUN
ajmsi-1979	274	11	.	.	PUNCT
ajmsi-1979	275	1	2017	2017	NUM
ajmsi-1979	275	2	ieee	ieee	NOUN
ajmsi-1979	275	3	/	/	SYM
ajmsi-1979	275	4	acis	acis	PROPN
ajmsi-1979	275	5	16th	16th	PROPN
ajmsi-1979	275	6	international	international	ADJ
ajmsi-1979	275	7	conference	conference	NOUN
ajmsi-1979	275	8	on	on	ADP
ajmsi-1979	275	9	computer	computer	NOUN
ajmsi-1979	275	10	and	and	CCONJ
ajmsi-1979	275	11	information	information	NOUN
ajmsi-1979	275	12	science	science	NOUN
ajmsi-1979	275	13	(	(	PUNCT
ajmsi-1979	275	14	icis	icis	PROPN
ajmsi-1979	275	15	)	)	PUNCT
ajmsi-1979	275	16	,	,	PUNCT
ajmsi-1979	275	17	asere	asere	ADV
ajmsi-1979	275	18	,	,	PUNCT
ajmsi-1979	275	19	g.	g.	PROPN
ajmsi-1979	275	20	f.	f.	PROPN
ajmsi-1979	275	21	,	,	PUNCT
ajmsi-1979	275	22	&	&	CCONJ
ajmsi-1979	275	23	botson	botson	PROPN
ajmsi-1979	275	24	,	,	PUNCT
ajmsi-1979	275	25	d.	d.	PROPN
ajmsi-1979	275	26	e.	e.	PROPN
ajmsi-1979	275	27	(	(	PUNCT
ajmsi-1979	275	28	2021	2021	NUM
ajmsi-1979	275	29	)	)	PUNCT
ajmsi-1979	275	30	.	.	PUNCT
ajmsi-1979	276	1	data	datum	NOUN
ajmsi-1979	276	2	mining	mining	NOUN
ajmsi-1979	276	3	technology	technology	NOUN
ajmsi-1979	276	4	as	as	ADP
ajmsi-1979	276	5	a	a	DET
ajmsi-1979	276	6	tool	tool	NOUN
ajmsi-1979	276	7	for	for	ADP
ajmsi-1979	276	8	supporting	support	VERB
ajmsi-1979	276	9	analytical	analytical	ADJ
ajmsi-1979	276	10	decision	decision	NOUN
ajmsi-1979	276	11	making	make	VERB
ajmsi-1979	276	12	process	process	NOUN
ajmsi-1979	276	13	in	in	ADP
ajmsi-1979	276	14	health	health	NOUN
ajmsi-1979	276	15	information	information	NOUN
ajmsi-1979	276	16	management	management	NOUN
ajmsi-1979	276	17	system	system	NOUN
ajmsi-1979	276	18	(	(	PUNCT
ajmsi-1979	276	19	hims	hims	PROPN
ajmsi-1979	276	20	)	)	PUNCT
ajmsi-1979	276	21	.	.	PUNCT
ajmsi-1979	277	1	american	american	PROPN
ajmsi-1979	277	2	journal	journal	PROPN
ajmsi-1979	277	3	of	of	ADP
ajmsi-1979	277	4	agricultural	agricultural	ADJ
ajmsi-1979	277	5	science	science	NOUN
ajmsi-1979	277	6	,	,	PUNCT
ajmsi-1979	277	7	engineering	engineering	NOUN
ajmsi-1979	277	8	,	,	PUNCT
ajmsi-1979	277	9	and	and	CCONJ
ajmsi-1979	277	10	technology	technology	NOUN
ajmsi-1979	277	11	,	,	PUNCT
ajmsi-1979	277	12	5(2	5(2	NUM
ajmsi-1979	277	13	)	)	PUNCT
ajmsi-1979	277	14	,	,	PUNCT
ajmsi-1979	277	15	139	139	NUM
ajmsi-1979	277	16	-	-	SYM
ajmsi-1979	277	17	147	147	NUM
ajmsi-1979	277	18	.	.	PUNCT
ajmsi-1979	278	1	drazin	drazin	PROPN
ajmsi-1979	278	2	,	,	PUNCT
ajmsi-1979	278	3	s.	s.	PROPN
ajmsi-1979	278	4	,	,	PUNCT
ajmsi-1979	278	5	&	&	CCONJ
ajmsi-1979	278	6	montag	montag	PROPN
ajmsi-1979	278	7	,	,	PUNCT
ajmsi-1979	278	8	m.	m.	NOUN
ajmsi-1979	278	9	(	(	PUNCT
ajmsi-1979	278	10	2012	2012	NUM
ajmsi-1979	278	11	)	)	PUNCT
ajmsi-1979	278	12	.	.	PUNCT
ajmsi-1979	279	1	decision	decision	NOUN
ajmsi-1979	279	2	tree	tree	NOUN
ajmsi-1979	279	3	analysis	analysis	NOUN
ajmsi-1979	279	4	using	use	VERB
ajmsi-1979	279	5	weka	weka	PROPN
ajmsi-1979	279	6	.	.	PUNCT
ajmsi-1979	280	1	machine	machine	NOUN
ajmsi-1979	280	2	learning	learning	NOUN
ajmsi-1979	280	3	-	-	PUNCT
ajmsi-1979	280	4	project	project	PROPN
ajmsi-1979	280	5	ii	ii	PROPN
ajmsi-1979	280	6	,	,	PUNCT
ajmsi-1979	280	7	university	university	PROPN
ajmsi-1979	280	8	of	of	ADP
ajmsi-1979	280	9	miami	miami	PROPN
ajmsi-1979	280	10	,	,	PUNCT
ajmsi-1979	280	11	1	1	NUM
ajmsi-1979	280	12	-	-	SYM
ajmsi-1979	280	13	3	3	NUM
ajmsi-1979	280	14	.	.	PUNCT
ajmsi-1979	280	15	egejuru	egejuru	PROPN
ajmsi-1979	280	16	,	,	PUNCT
ajmsi-1979	280	17	n.	n.	PROPN
ajmsi-1979	280	18	c.	c.	PROPN
ajmsi-1979	280	19	,	,	PUNCT
ajmsi-1979	280	20	olusanya	olusanya	PROPN
ajmsi-1979	280	21	,	,	PUNCT
ajmsi-1979	280	22	s.	s.	PROPN
ajmsi-1979	280	23	o.	o.	PROPN
ajmsi-1979	280	24	,	,	PUNCT
ajmsi-1979	280	25	asinobi	asinobi	PROPN
ajmsi-1979	280	26	,	,	PUNCT
ajmsi-1979	280	27	a.	a.	NOUN
ajmsi-1979	280	28	o.	o.	PROPN
ajmsi-1979	280	29	,	,	PUNCT
ajmsi-1979	280	30	adeyemi	adeyemi	ADV
ajmsi-1979	280	31	,	,	PUNCT
ajmsi-1979	280	32	o.	o.	PROPN
ajmsi-1979	280	33	j.	j.	PROPN
ajmsi-1979	280	34	,	,	PUNCT
ajmsi-1979	280	35	adebayo	adebayo	PROPN
ajmsi-1979	280	36	,	,	PUNCT
ajmsi-1979	280	37	v.	v.	PROPN
ajmsi-1979	280	38	o.	o.	PROPN
ajmsi-1979	280	39	,	,	PUNCT
ajmsi-1979	280	40	&	&	CCONJ
ajmsi-1979	280	41	idowu	idowu	NOUN
ajmsi-1979	280	42	,	,	PUNCT
ajmsi-1979	280	43	p.	p.	NOUN
ajmsi-1979	280	44	a.	a.	NOUN
ajmsi-1979	280	45	(	(	PUNCT
ajmsi-1979	280	46	2019	2019	NUM
ajmsi-1979	280	47	)	)	PUNCT
ajmsi-1979	280	48	.	.	PUNCT
ajmsi-1979	281	1	using	use	VERB
ajmsi-1979	281	2	data	datum	NOUN
ajmsi-1979	281	3	mining	mining	NOUN
ajmsi-1979	281	4	algorithms	algorithm	NOUN
ajmsi-1979	281	5	for	for	ADP
ajmsi-1979	281	6	thalassemia	thalassemia	NOUN
ajmsi-1979	281	7	risk	risk	NOUN
ajmsi-1979	281	8	prediction	prediction	NOUN
ajmsi-1979	281	9	.	.	PUNCT
ajmsi-1979	282	1	international	international	ADJ
ajmsi-1979	282	2	journal	journal	PROPN
ajmsi-1979	282	3	of	of	ADP
ajmsi-1979	282	4	biomedical	biomedical	ADJ
ajmsi-1979	282	5	science	science	NOUN
ajmsi-1979	282	6	and	and	CCONJ
ajmsi-1979	282	7	engineering	engineering	NOUN
ajmsi-1979	282	8	,	,	PUNCT
ajmsi-1979	282	9	7(2	7(2	NUM
ajmsi-1979	282	10	)	)	PUNCT
ajmsi-1979	282	11	,	,	PUNCT
ajmsi-1979	282	12	33	33	NUM
ajmsi-1979	282	13	-	-	SYM
ajmsi-1979	282	14	44	44	NUM
ajmsi-1979	282	15	.	.	PUNCT
ajmsi-1979	283	1	elshami	elshami	PROPN
ajmsi-1979	283	2	,	,	PUNCT
ajmsi-1979	283	3	e.	e.	PROPN
ajmsi-1979	283	4	h.	h.	PROPN
ajmsi-1979	283	5	,	,	PUNCT
ajmsi-1979	283	6	&	&	CCONJ
ajmsi-1979	283	7	alhalees	alhalees	PROPN
ajmsi-1979	283	8	,	,	PUNCT
ajmsi-1979	283	9	a.	a.	NOUN
ajmsi-1979	283	10	m.	m.	NOUN
ajmsi-1979	283	11	(	(	PUNCT
ajmsi-1979	283	12	2012	2012	NUM
ajmsi-1979	283	13	)	)	PUNCT
ajmsi-1979	283	14	.	.	PUNCT
ajmsi-1979	284	1	automated	automate	VERB
ajmsi-1979	284	2	diagnosis	diagnosis	NOUN
ajmsi-1979	284	3	of	of	ADP
ajmsi-1979	284	4	thalassemia	thalassemia	NOUN
ajmsi-1979	284	5	based	base	VERB
ajmsi-1979	284	6	on	on	ADP
ajmsi-1979	284	7	datamining	datamine	VERB
ajmsi-1979	284	8	classifiers	classifier	NOUN
ajmsi-1979	284	9	.	.	PUNCT
ajmsi-1979	285	1	the	the	DET
ajmsi-1979	285	2	international	international	ADJ
ajmsi-1979	285	3	conference	conference	NOUN
ajmsi-1979	285	4	on	on	ADP
ajmsi-1979	285	5	informatics	informatic	NOUN
ajmsi-1979	285	6	and	and	CCONJ
ajmsi-1979	285	7	applications	application	NOUN
ajmsi-1979	285	8	(	(	PUNCT
ajmsi-1979	285	9	icia2012	icia2012	NOUN
ajmsi-1979	285	10	)	)	PUNCT
ajmsi-1979	285	11	pa	pa	PROPN
ajmsi-1979	285	12	ge	ge	PROPN
ajmsi-1979	285	13	10	10	NUM
ajmsi-1979	285	14	9	9	NUM
ajmsi-1979	285	15	https://journals.e-palli.com/home/index.php/ajmsi	https://journals.e-palli.com/home/index.php/ajmsi	NOUN
ajmsi-1979	285	16	am	be	AUX
ajmsi-1979	285	17	.	.	PUNCT
ajmsi-1979	286	1	j.	j.	PROPN
ajmsi-1979	286	2	med	med	PROPN
ajmsi-1979	286	3	.	.	PUNCT
ajmsi-1979	287	1	sci	sci	PROPN
ajmsi-1979	287	2	.	.	PUNCT
ajmsi-1979	287	3	innov	innov	PROPN
ajmsi-1979	287	4	.	.	PUNCT
ajmsi-1979	288	1	2(2	2(2	NUM
ajmsi-1979	288	2	)	)	PUNCT
ajmsi-1979	288	3	97	97	NUM
ajmsi-1979	288	4	-	-	SYM
ajmsi-1979	288	5	109	109	NUM
ajmsi-1979	288	6	,	,	PUNCT
ajmsi-1979	288	7	2023	2023	NUM
ajmsi-1979	288	8	granik	granik	X
ajmsi-1979	288	9	,	,	PUNCT
ajmsi-1979	288	10	m.	m.	NOUN
ajmsi-1979	288	11	,	,	PUNCT
ajmsi-1979	288	12	&	&	CCONJ
ajmsi-1979	288	13	mesyura	mesyura	PROPN
ajmsi-1979	288	14	,	,	PUNCT
ajmsi-1979	288	15	v.	v.	PROPN
ajmsi-1979	288	16	(	(	PUNCT
ajmsi-1979	288	17	2017	2017	NUM
ajmsi-1979	288	18	)	)	PUNCT
ajmsi-1979	288	19	.	.	PUNCT
ajmsi-1979	289	1	fake	fake	ADJ
ajmsi-1979	289	2	news	news	NOUN
ajmsi-1979	289	3	detection	detection	NOUN
ajmsi-1979	289	4	using	use	VERB
ajmsi-1979	289	5	naive	naive	ADJ
ajmsi-1979	289	6	bayes	bayes	NOUN
ajmsi-1979	289	7	classifier	classifier	NOUN
ajmsi-1979	289	8	.	.	PUNCT
ajmsi-1979	290	1	2017	2017	NUM
ajmsi-1979	290	2	ieee	ieee	PROPN
ajmsi-1979	290	3	first	first	PROPN
ajmsi-1979	290	4	ukraine	ukraine	PROPN
ajmsi-1979	290	5	conference	conference	NOUN
ajmsi-1979	290	6	on	on	ADP
ajmsi-1979	290	7	electrical	electrical	ADJ
ajmsi-1979	290	8	and	and	CCONJ
ajmsi-1979	290	9	computer	computer	NOUN
ajmsi-1979	290	10	engineering	engineering	NOUN
ajmsi-1979	290	11	(	(	PUNCT
ajmsi-1979	290	12	ukrcon	ukrcon	NOUN
ajmsi-1979	290	13	)	)	PUNCT
ajmsi-1979	290	14	hasani	hasani	PROPN
ajmsi-1979	290	15	,	,	PUNCT
ajmsi-1979	290	16	m.	m.	NOUN
ajmsi-1979	290	17	,	,	PUNCT
ajmsi-1979	290	18	&	&	CCONJ
ajmsi-1979	290	19	hanani	hanani	NOUN
ajmsi-1979	290	20	,	,	PUNCT
ajmsi-1979	290	21	a.	a.	NOUN
ajmsi-1979	290	22	(	(	PUNCT
ajmsi-1979	290	23	2017	2017	NUM
ajmsi-1979	290	24	)	)	PUNCT
ajmsi-1979	290	25	.	.	PUNCT
ajmsi-1979	291	1	automated	automate	VERB
ajmsi-1979	291	2	diagnosis	diagnosis	NOUN
ajmsi-1979	291	3	of	of	ADP
ajmsi-1979	291	4	iron	iron	NOUN
ajmsi-1979	291	5	deficiency	deficiency	NOUN
ajmsi-1979	291	6	anemia	anemia	NOUN
ajmsi-1979	291	7	and	and	CCONJ
ajmsi-1979	291	8	thalassemia	thalassemia	NOUN
ajmsi-1979	291	9	by	by	ADP
ajmsi-1979	291	10	data	datum	NOUN
ajmsi-1979	291	11	mining	mining	NOUN
ajmsi-1979	291	12	techniques	technique	NOUN
ajmsi-1979	291	13	.	.	PUNCT
ajmsi-1979	292	1	international	international	ADJ
ajmsi-1979	292	2	journal	journal	NOUN
ajmsi-1979	292	3	of	of	ADP
ajmsi-1979	292	4	computer	computer	NOUN
ajmsi-1979	292	5	science	science	NOUN
ajmsi-1979	292	6	and	and	CCONJ
ajmsi-1979	292	7	network	network	NOUN
ajmsi-1979	292	8	security	security	NOUN
ajmsi-1979	292	9	(	(	PUNCT
ajmsi-1979	292	10	ijcsns	ijcsns	NOUN
ajmsi-1979	292	11	)	)	PUNCT
ajmsi-1979	292	12	,	,	PUNCT
ajmsi-1979	292	13	17(4	17(4	NUM
ajmsi-1979	292	14	)	)	PUNCT
ajmsi-1979	292	15	,	,	PUNCT
ajmsi-1979	292	16	326	326	NUM
ajmsi-1979	292	17	.	.	PUNCT
ajmsi-1979	293	1	herbert	herbert	PROPN
ajmsi-1979	293	2	,	,	PUNCT
ajmsi-1979	293	3	l.	l.	PROPN
ajmsi-1979	293	4	,	,	PUNCT
ajmsi-1979	293	5	muncie	muncie	PROPN
ajmsi-1979	293	6	,	,	PUNCT
ajmsi-1979	293	7	j.	j.	PROPN
ajmsi-1979	293	8	,	,	PUNCT
ajmsi-1979	293	9	&	&	CCONJ
ajmsi-1979	293	10	campbell	campbell	PROPN
ajmsi-1979	293	11	,	,	PUNCT
ajmsi-1979	293	12	j.	j.	PROPN
ajmsi-1979	293	13	(	(	PUNCT
ajmsi-1979	293	14	2009	2009	NUM
ajmsi-1979	293	15	)	)	PUNCT
ajmsi-1979	293	16	.	.	PUNCT
ajmsi-1979	294	1	alpha	alpha	NOUN
ajmsi-1979	294	2	and	and	CCONJ
ajmsi-1979	294	3	beta	beta	NOUN
ajmsi-1979	294	4	thalassemia	thalassemia	NOUN
ajmsi-1979	294	5	.	.	PUNCT
ajmsi-1979	295	1	am	be	AUX
ajmsi-1979	295	2	fam	fam	NOUN
ajmsi-1979	295	3	physician	physician	NOUN
ajmsi-1979	295	4	,	,	PUNCT
ajmsi-1979	295	5	80(4	80(4	NUM
ajmsi-1979	295	6	)	)	PUNCT
ajmsi-1979	295	7	,	,	PUNCT
ajmsi-1979	295	8	339	339	NUM
ajmsi-1979	295	9	-	-	SYM
ajmsi-1979	295	10	344	344	NUM
ajmsi-1979	295	11	.	.	PUNCT
ajmsi-1979	296	1	iyer	iyer	PROPN
ajmsi-1979	296	2	,	,	PUNCT
ajmsi-1979	296	3	a.	a.	PROPN
ajmsi-1979	296	4	,	,	PUNCT
ajmsi-1979	296	5	jeyalatha	jeyalatha	PROPN
ajmsi-1979	296	6	,	,	PUNCT
ajmsi-1979	296	7	s.	s.	PROPN
ajmsi-1979	296	8	,	,	PUNCT
ajmsi-1979	296	9	&	&	CCONJ
ajmsi-1979	296	10	sumbaly	sumbaly	PROPN
ajmsi-1979	296	11	,	,	PUNCT
ajmsi-1979	296	12	r.	r.	PROPN
ajmsi-1979	296	13	(	(	PUNCT
ajmsi-1979	296	14	2015	2015	NUM
ajmsi-1979	296	15	)	)	PUNCT
ajmsi-1979	296	16	.	.	PUNCT
ajmsi-1979	297	1	diagnosis	diagnosis	NOUN
ajmsi-1979	297	2	of	of	ADP
ajmsi-1979	297	3	diabetes	diabetes	NOUN
ajmsi-1979	297	4	using	use	VERB
ajmsi-1979	297	5	classification	classification	NOUN
ajmsi-1979	297	6	mining	mining	NOUN
ajmsi-1979	297	7	techniques	technique	NOUN
ajmsi-1979	297	8	.	.	PUNCT
ajmsi-1979	298	1	arxiv	arxiv	PROPN
ajmsi-1979	298	2	preprint	preprint	NOUN
ajmsi-1979	298	3	arxiv:1502.03774	arxiv:1502.03774	ADV
ajmsi-1979	298	4	.	.	PUNCT
ajmsi-1979	299	1	jabbar	jabbar	PROPN
ajmsi-1979	299	2	,	,	PUNCT
ajmsi-1979	299	3	m.	m.	NOUN
ajmsi-1979	299	4	,	,	PUNCT
ajmsi-1979	299	5	&	&	CCONJ
ajmsi-1979	299	6	samreen	samreen	NUM
ajmsi-1979	299	7	,	,	PUNCT
ajmsi-1979	299	8	s.	s.	PROPN
ajmsi-1979	299	9	(	(	PUNCT
ajmsi-1979	299	10	2016	2016	NUM
ajmsi-1979	299	11	)	)	PUNCT
ajmsi-1979	299	12	.	.	PUNCT
ajmsi-1979	300	1	heart	heart	NOUN
ajmsi-1979	300	2	disease	disease	NOUN
ajmsi-1979	300	3	prediction	prediction	NOUN
ajmsi-1979	300	4	system	system	NOUN
ajmsi-1979	300	5	based	base	VERB
ajmsi-1979	300	6	on	on	ADP
ajmsi-1979	300	7	hidden	hide	VERB
ajmsi-1979	300	8	naïve	naïve	ADJ
ajmsi-1979	300	9	bayes	bayes	PROPN
ajmsi-1979	300	10	classifier	classifier	NOUN
ajmsi-1979	300	11	.	.	PUNCT
ajmsi-1979	301	1	2016	2016	NUM
ajmsi-1979	301	2	international	international	ADJ
ajmsi-1979	301	3	conference	conference	NOUN
ajmsi-1979	301	4	on	on	ADP
ajmsi-1979	301	5	circuits	circuit	NOUN
ajmsi-1979	301	6	,	,	PUNCT
ajmsi-1979	301	7	controls	control	NOUN
ajmsi-1979	301	8	,	,	PUNCT
ajmsi-1979	301	9	communications	communication	NOUN
ajmsi-1979	301	10	and	and	CCONJ
ajmsi-1979	301	11	computing	computing	NOUN
ajmsi-1979	301	12	(	(	PUNCT
ajmsi-1979	301	13	i4c	i4c	NOUN
ajmsi-1979	301	14	)	)	PUNCT
ajmsi-1979	301	15	.	.	PUNCT
ajmsi-1979	302	1	jameel	jameel	PROPN
ajmsi-1979	302	2	,	,	PUNCT
ajmsi-1979	302	3	t.	t.	PROPN
ajmsi-1979	302	4	,	,	PUNCT
ajmsi-1979	302	5	baig	baig	PROPN
ajmsi-1979	302	6	,	,	PUNCT
ajmsi-1979	302	7	m.	m.	NOUN
ajmsi-1979	302	8	,	,	PUNCT
ajmsi-1979	302	9	ahmed	ahmed	PROPN
ajmsi-1979	302	10	,	,	PUNCT
ajmsi-1979	302	11	i.	i.	PROPN
ajmsi-1979	302	12	,	,	PUNCT
ajmsi-1979	302	13	hussain	hussain	PROPN
ajmsi-1979	302	14	,	,	PUNCT
ajmsi-1979	302	15	m.	m.	PROPN
ajmsi-1979	302	16	b.	b.	PROPN
ajmsi-1979	302	17	,	,	PUNCT
ajmsi-1979	302	18	&	&	CCONJ
ajmsi-1979	302	19	bin	bin	PROPN
ajmsi-1979	302	20	doghaim	doghaim	PROPN
ajmsi-1979	302	21	alkhamaly	alkhamaly	PROPN
ajmsi-1979	302	22	,	,	PUNCT
ajmsi-1979	302	23	m.	m.	NOUN
ajmsi-1979	302	24	(	(	PUNCT
ajmsi-1979	302	25	2017	2017	NUM
ajmsi-1979	302	26	)	)	PUNCT
ajmsi-1979	302	27	.	.	PUNCT
ajmsi-1979	303	1	differentiation	differentiation	NOUN
ajmsi-1979	303	2	of	of	ADP
ajmsi-1979	303	3	beta	beta	NOUN
ajmsi-1979	303	4	thalassemia	thalassemia	NOUN
ajmsi-1979	303	5	trait	trait	NOUN
ajmsi-1979	303	6	from	from	ADP
ajmsi-1979	303	7	iron	iron	NOUN
ajmsi-1979	303	8	deficiency	deficiency	NOUN
ajmsi-1979	303	9	anemia	anemia	NOUN
ajmsi-1979	303	10	by	by	ADP
ajmsi-1979	303	11	hematological	hematological	ADJ
ajmsi-1979	303	12	indices	index	NOUN
ajmsi-1979	303	13	.	.	PUNCT
ajmsi-1979	304	1	pakistan	pakistan	PROPN
ajmsi-1979	304	2	journal	journal	PROPN
ajmsi-1979	304	3	of	of	ADP
ajmsi-1979	304	4	medical	medical	ADJ
ajmsi-1979	304	5	sciences	science	NOUN
ajmsi-1979	304	6	,	,	PUNCT
ajmsi-1979	304	7	33(3	33(3	NOUN
ajmsi-1979	304	8	)	)	PUNCT
ajmsi-1979	304	9	,	,	PUNCT
ajmsi-1979	304	10	665	665	NUM
ajmsi-1979	304	11	.	.	PUNCT
ajmsi-1979	305	1	jatoi	jatoi	NOUN
ajmsi-1979	305	2	,	,	PUNCT
ajmsi-1979	305	3	s.	s.	PROPN
ajmsi-1979	305	4	,	,	PUNCT
ajmsi-1979	305	5	panhwar	panhwar	PROPN
ajmsi-1979	305	6	,	,	PUNCT
ajmsi-1979	305	7	m.	m.	NOUN
ajmsi-1979	305	8	a.	a.	PROPN
ajmsi-1979	305	9	,	,	PUNCT
ajmsi-1979	305	10	memon	memon	PROPN
ajmsi-1979	305	11	,	,	PUNCT
ajmsi-1979	305	12	m.	m.	PROPN
ajmsi-1979	305	13	s.	s.	PROPN
ajmsi-1979	305	14	,	,	PUNCT
ajmsi-1979	305	15	baloch	baloch	PROPN
ajmsi-1979	305	16	,	,	PUNCT
ajmsi-1979	305	17	j.	j.	PROPN
ajmsi-1979	305	18	a.	a.	PROPN
ajmsi-1979	305	19	,	,	PUNCT
ajmsi-1979	305	20	&	&	CCONJ
ajmsi-1979	305	21	saddar	saddar	NOUN
ajmsi-1979	305	22	,	,	PUNCT
ajmsi-1979	305	23	s.	s.	PROPN
ajmsi-1979	305	24	(	(	PUNCT
ajmsi-1979	305	25	2018	2018	NUM
ajmsi-1979	305	26	)	)	PUNCT
ajmsi-1979	305	27	.	.	PUNCT
ajmsi-1979	306	1	mining	mining	NOUN
ajmsi-1979	306	2	complete	complete	ADJ
ajmsi-1979	306	3	blood	blood	NOUN
ajmsi-1979	306	4	count	count	NOUN
ajmsi-1979	306	5	reports	report	NOUN
ajmsi-1979	306	6	for	for	ADP
ajmsi-1979	306	7	disease	disease	NOUN
ajmsi-1979	306	8	discovery	discovery	NOUN
ajmsi-1979	306	9	.	.	PUNCT
ajmsi-1979	307	1	international	international	ADJ
ajmsi-1979	307	2	journal	journal	PROPN
ajmsi-1979	307	3	of	of	ADP
ajmsi-1979	307	4	computer	computer	NOUN
ajmsi-1979	307	5	science	science	NOUN
ajmsi-1979	307	6	and	and	CCONJ
ajmsi-1979	307	7	network	network	NOUN
ajmsi-1979	307	8	security	security	NOUN
ajmsi-1979	307	9	,	,	PUNCT
ajmsi-1979	307	10	18(1	18(1	NUM
ajmsi-1979	307	11	)	)	PUNCT
ajmsi-1979	307	12	,	,	PUNCT
ajmsi-1979	307	13	121	121	NUM
ajmsi-1979	307	14	-	-	SYM
ajmsi-1979	307	15	127	127	NUM
ajmsi-1979	307	16	.	.	PUNCT
ajmsi-1979	308	1	jothi	jothi	ADJ
ajmsi-1979	308	2	,	,	PUNCT
ajmsi-1979	308	3	n.	n.	NOUN
ajmsi-1979	308	4	,	,	PUNCT
ajmsi-1979	308	5	&	&	CCONJ
ajmsi-1979	308	6	husain	husain	PROPN
ajmsi-1979	308	7	,	,	PUNCT
ajmsi-1979	308	8	w.	w.	PROPN
ajmsi-1979	308	9	(	(	PUNCT
ajmsi-1979	308	10	2015	2015	NUM
ajmsi-1979	308	11	)	)	PUNCT
ajmsi-1979	308	12	.	.	PUNCT
ajmsi-1979	309	1	data	datum	NOUN
ajmsi-1979	309	2	mining	mining	NOUN
ajmsi-1979	309	3	in	in	ADP
ajmsi-1979	309	4	healthcare	healthcare	PROPN
ajmsi-1979	309	5	–	–	PUNCT
ajmsi-1979	309	6	a	a	DET
ajmsi-1979	309	7	review	review	NOUN
ajmsi-1979	309	8	.	.	PUNCT
ajmsi-1979	310	1	procedia	procedia	PROPN
ajmsi-1979	310	2	computer	computer	NOUN
ajmsi-1979	310	3	science	science	NOUN
ajmsi-1979	310	4	,	,	PUNCT
ajmsi-1979	310	5	72	72	NUM
ajmsi-1979	310	6	,	,	PUNCT
ajmsi-1979	310	7	306	306	NUM
ajmsi-1979	310	8	-	-	SYM
ajmsi-1979	310	9	313	313	NUM
ajmsi-1979	310	10	.	.	PUNCT
ajmsi-1979	311	1	jovic	jovic	PROPN
ajmsi-1979	311	2	,	,	PUNCT
ajmsi-1979	311	3	a.	a.	NOUN
ajmsi-1979	311	4	,	,	PUNCT
ajmsi-1979	311	5	brkic	brkic	PROPN
ajmsi-1979	311	6	,	,	PUNCT
ajmsi-1979	311	7	k.	k.	PROPN
ajmsi-1979	311	8	,	,	PUNCT
ajmsi-1979	311	9	&	&	CCONJ
ajmsi-1979	311	10	bogunovic	bogunovic	PROPN
ajmsi-1979	311	11	,	,	PUNCT
ajmsi-1979	311	12	n.	n.	PROPN
ajmsi-1979	311	13	(	(	PUNCT
ajmsi-1979	311	14	2014	2014	NUM
ajmsi-1979	311	15	)	)	PUNCT
ajmsi-1979	311	16	.	.	PUNCT
ajmsi-1979	312	1	an	an	DET
ajmsi-1979	312	2	overview	overview	NOUN
ajmsi-1979	312	3	of	of	ADP
ajmsi-1979	312	4	free	free	ADJ
ajmsi-1979	312	5	software	software	NOUN
ajmsi-1979	312	6	tools	tool	NOUN
ajmsi-1979	312	7	for	for	ADP
ajmsi-1979	312	8	general	general	ADJ
ajmsi-1979	312	9	data	datum	NOUN
ajmsi-1979	312	10	mining	mining	NOUN
ajmsi-1979	312	11	.	.	PUNCT
ajmsi-1979	313	1	2014	2014	NUM
ajmsi-1979	313	2	37th	37th	ADJ
ajmsi-1979	313	3	international	international	ADJ
ajmsi-1979	313	4	convention	convention	NOUN
ajmsi-1979	313	5	on	on	ADP
ajmsi-1979	313	6	information	information	NOUN
ajmsi-1979	313	7	and	and	CCONJ
ajmsi-1979	313	8	communication	communication	NOUN
ajmsi-1979	313	9	technology	technology	NOUN
ajmsi-1979	313	10	,	,	PUNCT
ajmsi-1979	313	11	electronics	electronic	NOUN
ajmsi-1979	313	12	and	and	CCONJ
ajmsi-1979	313	13	microelectronics	microelectronic	NOUN
ajmsi-1979	313	14	(	(	PUNCT
ajmsi-1979	313	15	mipro	mipro	NOUN
ajmsi-1979	313	16	)	)	PUNCT
ajmsi-1979	313	17	kamil	kamil	PROPN
ajmsi-1979	313	18	,	,	PUNCT
ajmsi-1979	313	19	s.	s.	PROPN
ajmsi-1979	313	20	,	,	PUNCT
ajmsi-1979	313	21	kousar	kousar	PROPN
ajmsi-1979	313	22	,	,	PUNCT
ajmsi-1979	313	23	s.	s.	PROPN
ajmsi-1979	313	24	,	,	PUNCT
ajmsi-1979	313	25	rafique	rafique	PROPN
ajmsi-1979	313	26	,	,	PUNCT
ajmsi-1979	313	27	s.	s.	PROPN
ajmsi-1979	313	28	,	,	PUNCT
ajmsi-1979	313	29	qadir	qadir	PROPN
ajmsi-1979	313	30	,	,	PUNCT
ajmsi-1979	313	31	h.	h.	PROPN
ajmsi-1979	313	32	,	,	PUNCT
ajmsi-1979	313	33	farooqui	farooqui	PROPN
ajmsi-1979	313	34	,	,	PUNCT
ajmsi-1979	313	35	w.	w.	PROPN
ajmsi-1979	313	36	,	,	PUNCT
ajmsi-1979	313	37	tauheed	tauhee	VERB
ajmsi-1979	313	38	,	,	PUNCT
ajmsi-1979	313	39	m.	m.	NOUN
ajmsi-1979	313	40	,	,	PUNCT
ajmsi-1979	313	41	kamil	kamil	PROPN
ajmsi-1979	313	42	,	,	PUNCT
ajmsi-1979	313	43	n.	n.	NOUN
ajmsi-1979	313	44	,	,	PUNCT
ajmsi-1979	313	45	&	&	CCONJ
ajmsi-1979	313	46	liaquat	liaquat	PROPN
ajmsi-1979	313	47	,	,	PUNCT
ajmsi-1979	313	48	a.	a.	NOUN
ajmsi-1979	313	49	(	(	PUNCT
ajmsi-1979	313	50	2021	2021	NUM
ajmsi-1979	313	51	)	)	PUNCT
ajmsi-1979	313	52	.	.	PUNCT
ajmsi-1979	314	1	frequency	frequency	NOUN
ajmsi-1979	314	2	of	of	ADP
ajmsi-1979	314	3	carrier	carrier	NOUN
ajmsi-1979	314	4	state	state	NOUN
ajmsi-1979	314	5	of	of	ADP
ajmsi-1979	314	6	thalassemia	thalassemia	NOUN
ajmsi-1979	314	7	and	and	CCONJ
ajmsi-1979	314	8	various	various	ADJ
ajmsi-1979	314	9	hemoglobinopathies	hemoglobinopathy	NOUN
ajmsi-1979	314	10	in	in	ADP
ajmsi-1979	314	11	tertiary	tertiary	ADJ
ajmsi-1979	314	12	care	care	NOUN
ajmsi-1979	314	13	hospital	hospital	NOUN
ajmsi-1979	314	14	of	of	ADP
ajmsi-1979	314	15	pakistan	pakistan	PROPN
ajmsi-1979	314	16	.	.	PUNCT
ajmsi-1979	315	1	ijehsr	ijehsr	NOUN
ajmsi-1979	315	2	-	-	PUNCT
ajmsi-1979	315	3	international	international	ADJ
ajmsi-1979	315	4	journal	journal	NOUN
ajmsi-1979	315	5	of	of	ADP
ajmsi-1979	315	6	endorsing	endorse	VERB
ajmsi-1979	315	7	health	health	NOUN
ajmsi-1979	315	8	science	science	NOUN
ajmsi-1979	315	9	research	research	NOUN
ajmsi-1979	315	10	,	,	PUNCT
ajmsi-1979	315	11	9(2	9(2	NUM
ajmsi-1979	315	12	)	)	PUNCT
ajmsi-1979	315	13	,	,	PUNCT
ajmsi-1979	315	14	195	195	NUM
ajmsi-1979	315	15	-	-	SYM
ajmsi-1979	315	16	200	200	NUM
ajmsi-1979	315	17	.	.	PUNCT
ajmsi-1979	316	1	khaliq	khaliq	PROPN
ajmsi-1979	316	2	,	,	PUNCT
ajmsi-1979	316	3	s.	s.	PROPN
ajmsi-1979	316	4	(	(	PUNCT
ajmsi-1979	316	5	2022	2022	NUM
ajmsi-1979	316	6	)	)	PUNCT
ajmsi-1979	316	7	.	.	PUNCT
ajmsi-1979	317	1	thalassemia	thalassemia	NOUN
ajmsi-1979	317	2	in	in	ADP
ajmsi-1979	317	3	pakistan	pakistan	PROPN
ajmsi-1979	317	4	.	.	PUNCT
ajmsi-1979	318	1	hemoglobin	hemoglobin	PROPN
ajmsi-1979	318	2	,	,	PUNCT
ajmsi-1979	318	3	46(1	46(1	PROPN
ajmsi-1979	318	4	)	)	PUNCT
ajmsi-1979	318	5	,	,	PUNCT
ajmsi-1979	318	6	12	12	NUM
ajmsi-1979	318	7	-	-	SYM
ajmsi-1979	318	8	14	14	NUM
ajmsi-1979	318	9	.	.	PUNCT
ajmsi-1979	319	1	kwon	kwon	PROPN
ajmsi-1979	319	2	,	,	PUNCT
ajmsi-1979	319	3	k.	k.	PROPN
ajmsi-1979	319	4	,	,	PUNCT
ajmsi-1979	319	5	kim	kim	PROPN
ajmsi-1979	319	6	,	,	PUNCT
ajmsi-1979	319	7	d.	d.	PROPN
ajmsi-1979	319	8	,	,	PUNCT
ajmsi-1979	319	9	&	&	CCONJ
ajmsi-1979	319	10	park	park	PROPN
ajmsi-1979	319	11	,	,	PUNCT
ajmsi-1979	319	12	h.	h.	PROPN
ajmsi-1979	319	13	(	(	PUNCT
ajmsi-1979	319	14	2017	2017	NUM
ajmsi-1979	319	15	)	)	PUNCT
ajmsi-1979	319	16	.	.	PUNCT
ajmsi-1979	320	1	a	a	DET
ajmsi-1979	320	2	parallel	parallel	ADJ
ajmsi-1979	320	3	mr	mr	PROPN
ajmsi-1979	320	4	imaging	imaging	NOUN
ajmsi-1979	320	5	method	method	NOUN
ajmsi-1979	320	6	using	use	VERB
ajmsi-1979	320	7	multilayer	multilayer	ADJ
ajmsi-1979	320	8	perceptron	perceptron	PROPN
ajmsi-1979	320	9	.	.	PUNCT
ajmsi-1979	321	1	medical	medical	ADJ
ajmsi-1979	321	2	physics	physics	PROPN
ajmsi-1979	321	3	,	,	PUNCT
ajmsi-1979	321	4	44(12	44(12	NUM
ajmsi-1979	321	5	)	)	PUNCT
ajmsi-1979	321	6	,	,	PUNCT
ajmsi-1979	321	7	6209	6209	NUM
ajmsi-1979	321	8	-	-	SYM
ajmsi-1979	321	9	6224	6224	NUM
ajmsi-1979	321	10	.	.	PUNCT
ajmsi-1979	322	1	luo	luo	PROPN
ajmsi-1979	322	2	,	,	PUNCT
ajmsi-1979	322	3	y.	y.	PROPN
ajmsi-1979	322	4	,	,	PUNCT
ajmsi-1979	322	5	xiong	xiong	PROPN
ajmsi-1979	322	6	,	,	PUNCT
ajmsi-1979	322	7	z.	z.	PROPN
ajmsi-1979	322	8	,	,	PUNCT
ajmsi-1979	322	9	xia	xia	PROPN
ajmsi-1979	322	10	,	,	PUNCT
ajmsi-1979	322	11	s.	s.	PROPN
ajmsi-1979	322	12	,	,	PUNCT
ajmsi-1979	322	13	tan	tan	PROPN
ajmsi-1979	322	14	,	,	PUNCT
ajmsi-1979	322	15	h.	h.	PROPN
ajmsi-1979	322	16	,	,	PUNCT
ajmsi-1979	322	17	&	&	CCONJ
ajmsi-1979	322	18	gou	gou	PROPN
ajmsi-1979	322	19	,	,	PUNCT
ajmsi-1979	322	20	j.	j.	PROPN
ajmsi-1979	322	21	(	(	PUNCT
ajmsi-1979	322	22	2016	2016	NUM
ajmsi-1979	322	23	)	)	PUNCT
ajmsi-1979	322	24	.	.	PUNCT
ajmsi-1979	323	1	classification	classification	NOUN
ajmsi-1979	323	2	noise	noise	NOUN
ajmsi-1979	323	3	detection	detection	NOUN
ajmsi-1979	323	4	based	base	VERB
ajmsi-1979	323	5	smo	smo	PROPN
ajmsi-1979	323	6	algorithm	algorithm	NOUN
ajmsi-1979	323	7	.	.	PUNCT
ajmsi-1979	324	1	optik	optik	PROPN
ajmsi-1979	324	2	,	,	PUNCT
ajmsi-1979	324	3	127(17	127(17	NUM
ajmsi-1979	324	4	)	)	PUNCT
ajmsi-1979	324	5	,	,	PUNCT
ajmsi-1979	324	6	7021	7021	NUM
ajmsi-1979	324	7	-	-	SYM
ajmsi-1979	324	8	7029	7029	NUM
ajmsi-1979	324	9	.	.	PUNCT
ajmsi-1979	325	1	mdaghri	mdaghri	PROPN
ajmsi-1979	325	2	,	,	PUNCT
ajmsi-1979	325	3	z.	z.	PROPN
ajmsi-1979	325	4	a.	a.	PROPN
ajmsi-1979	325	5	,	,	PUNCT
ajmsi-1979	325	6	el	el	PROPN
ajmsi-1979	325	7	yadari	yadari	PROPN
ajmsi-1979	325	8	,	,	PUNCT
ajmsi-1979	325	9	m.	m.	NOUN
ajmsi-1979	325	10	,	,	PUNCT
ajmsi-1979	325	11	benyoussef	benyoussef	PROPN
ajmsi-1979	325	12	,	,	PUNCT
ajmsi-1979	325	13	a.	a.	PROPN
ajmsi-1979	325	14	,	,	PUNCT
ajmsi-1979	325	15	&	&	CCONJ
ajmsi-1979	325	16	el	el	PROPN
ajmsi-1979	325	17	kenz	kenz	PROPN
ajmsi-1979	325	18	,	,	PUNCT
ajmsi-1979	325	19	a.	a.	NOUN
ajmsi-1979	325	20	(	(	PUNCT
ajmsi-1979	325	21	2016	2016	NUM
ajmsi-1979	325	22	)	)	PUNCT
ajmsi-1979	325	23	.	.	PUNCT
ajmsi-1979	326	1	study	study	NOUN
ajmsi-1979	326	2	and	and	CCONJ
ajmsi-1979	326	3	analysis	analysis	NOUN
ajmsi-1979	326	4	of	of	ADP
ajmsi-1979	326	5	data	datum	NOUN
ajmsi-1979	326	6	mining	mining	NOUN
ajmsi-1979	326	7	for	for	ADP
ajmsi-1979	326	8	healthcare	healthcare	NOUN
ajmsi-1979	326	9	.	.	PUNCT
ajmsi-1979	327	1	2016	2016	NUM
ajmsi-1979	327	2	4th	4th	ADJ
ajmsi-1979	327	3	ieee	ieee	NOUN
ajmsi-1979	327	4	international	international	ADJ
ajmsi-1979	327	5	colloquium	colloquium	NOUN
ajmsi-1979	327	6	on	on	ADP
ajmsi-1979	327	7	information	information	NOUN
ajmsi-1979	327	8	science	science	NOUN
ajmsi-1979	327	9	and	and	CCONJ
ajmsi-1979	327	10	technology	technology	NOUN
ajmsi-1979	327	11	(	(	PUNCT
ajmsi-1979	327	12	cist	cist	NOUN
ajmsi-1979	327	13	)	)	PUNCT
ajmsi-1979	327	14	,	,	PUNCT
ajmsi-1979	327	15	meena	meena	PROPN
ajmsi-1979	327	16	,	,	PUNCT
ajmsi-1979	327	17	k.	k.	PROPN
ajmsi-1979	327	18	,	,	PUNCT
ajmsi-1979	327	19	tayal	tayal	NOUN
ajmsi-1979	327	20	,	,	PUNCT
ajmsi-1979	327	21	d.	d.	PROPN
ajmsi-1979	327	22	k.	k.	PROPN
ajmsi-1979	327	23	,	,	PUNCT
ajmsi-1979	327	24	gupta	gupta	PROPN
ajmsi-1979	327	25	,	,	PUNCT
ajmsi-1979	327	26	v.	v.	PROPN
ajmsi-1979	327	27	,	,	PUNCT
ajmsi-1979	327	28	&	&	CCONJ
ajmsi-1979	327	29	fatima	fatima	PROPN
ajmsi-1979	327	30	,	,	PUNCT
ajmsi-1979	327	31	a.	a.	NOUN
ajmsi-1979	327	32	(	(	PUNCT
ajmsi-1979	327	33	2019	2019	NUM
ajmsi-1979	327	34	)	)	PUNCT
ajmsi-1979	327	35	.	.	PUNCT
ajmsi-1979	328	1	using	use	VERB
ajmsi-1979	328	2	classification	classification	NOUN
ajmsi-1979	328	3	techniques	technique	NOUN
ajmsi-1979	328	4	for	for	ADP
ajmsi-1979	328	5	statistical	statistical	ADJ
ajmsi-1979	328	6	analysis	analysis	NOUN
ajmsi-1979	328	7	of	of	ADP
ajmsi-1979	328	8	anemia	anemia	NOUN
ajmsi-1979	328	9	.	.	PUNCT
ajmsi-1979	329	1	artificial	artificial	ADJ
ajmsi-1979	329	2	intelligence	intelligence	NOUN
ajmsi-1979	329	3	in	in	ADP
ajmsi-1979	329	4	medicine	medicine	NOUN
ajmsi-1979	329	5	,	,	PUNCT
ajmsi-1979	329	6	94	94	NUM
ajmsi-1979	329	7	,	,	PUNCT
ajmsi-1979	329	8	138	138	NUM
ajmsi-1979	329	9	-	-	SYM
ajmsi-1979	329	10	152	152	NUM
ajmsi-1979	329	11	.	.	PUNCT
ajmsi-1979	330	1	mekić	mekić	PROPN
ajmsi-1979	330	2	,	,	PUNCT
ajmsi-1979	330	3	m.	m.	NOUN
ajmsi-1979	330	4	s.	s.	PROPN
ajmsi-1979	330	5	,	,	PUNCT
ajmsi-1979	330	6	pedišić	pedišić	ADV
ajmsi-1979	330	7	,	,	PUNCT
ajmsi-1979	330	8	i.	i.	PROPN
ajmsi-1979	330	9	,	,	PUNCT
ajmsi-1979	330	10	šobat	šobat	PROPN
ajmsi-1979	330	11	,	,	PUNCT
ajmsi-1979	330	12	h.	h.	PROPN
ajmsi-1979	330	13	,	,	PUNCT
ajmsi-1979	330	14	boras	boras	PROPN
ajmsi-1979	330	15	,	,	PUNCT
ajmsi-1979	330	16	v.	v.	PROPN
ajmsi-1979	330	17	v.	v.	ADP
ajmsi-1979	330	18	,	,	PUNCT
ajmsi-1979	330	19	kirac	kirac	PROPN
ajmsi-1979	330	20	,	,	PUNCT
ajmsi-1979	330	21	i.	i.	NOUN
ajmsi-1979	330	22	,	,	PUNCT
ajmsi-1979	330	23	štefančić	štefančić	PROPN
ajmsi-1979	330	24	,	,	PUNCT
ajmsi-1979	330	25	l.	l.	PROPN
ajmsi-1979	330	26	,	,	PUNCT
ajmsi-1979	330	27	šekerija	šekerija	PROPN
ajmsi-1979	330	28	,	,	PUNCT
ajmsi-1979	330	29	m.	m.	NOUN
ajmsi-1979	330	30	,	,	PUNCT
ajmsi-1979	330	31	vrdoljak	vrdoljak	PROPN
ajmsi-1979	330	32	,	,	PUNCT
ajmsi-1979	330	33	b.	b.	PROPN
ajmsi-1979	330	34	,	,	PUNCT
ajmsi-1979	330	35	&	&	CCONJ
ajmsi-1979	330	36	vrdoljak	vrdoljak	PROPN
ajmsi-1979	330	37	,	,	PUNCT
ajmsi-1979	330	38	d.	d.	PROPN
ajmsi-1979	330	39	v.	v.	PROPN
ajmsi-1979	330	40	(	(	PUNCT
ajmsi-1979	330	41	2018	2018	NUM
ajmsi-1979	330	42	)	)	PUNCT
ajmsi-1979	330	43	.	.	PUNCT
ajmsi-1979	331	1	the	the	DET
ajmsi-1979	331	2	role	role	NOUN
ajmsi-1979	331	3	of	of	ADP
ajmsi-1979	331	4	complete	complete	ADJ
ajmsi-1979	331	5	blood	blood	NOUN
ajmsi-1979	331	6	count	count	NOUN
ajmsi-1979	331	7	parameters	parameter	NOUN
ajmsi-1979	331	8	in	in	ADP
ajmsi-1979	331	9	patients	patient	NOUN
ajmsi-1979	331	10	with	with	ADP
ajmsi-1979	331	11	colorectal	colorectal	ADJ
ajmsi-1979	331	12	cancer	cancer	NOUN
ajmsi-1979	331	13	.	.	PUNCT
ajmsi-1979	332	1	acta	acta	PROPN
ajmsi-1979	332	2	clinica	clinica	PROPN
ajmsi-1979	332	3	croatica	croatica	PROPN
ajmsi-1979	332	4	,	,	PUNCT
ajmsi-1979	332	5	57(4	57(4	NUM
ajmsi-1979	332	6	)	)	PUNCT
ajmsi-1979	332	7	,	,	PUNCT
ajmsi-1979	332	8	624	624	NUM
ajmsi-1979	332	9	.	.	PUNCT
ajmsi-1979	333	1	ogasawara	ogasawara	PROPN
ajmsi-1979	333	2	,	,	PUNCT
ajmsi-1979	333	3	a.	a.	PROPN
ajmsi-1979	333	4	,	,	PUNCT
ajmsi-1979	333	5	matsushita	matsushita	PROPN
ajmsi-1979	333	6	,	,	PUNCT
ajmsi-1979	333	7	h.	h.	PROPN
ajmsi-1979	333	8	,	,	PUNCT
ajmsi-1979	333	9	tanaka	tanaka	PROPN
ajmsi-1979	333	10	,	,	PUNCT
ajmsi-1979	333	11	y.	y.	PROPN
ajmsi-1979	333	12	,	,	PUNCT
ajmsi-1979	333	13	shirasugi	shirasugi	PROPN
ajmsi-1979	333	14	,	,	PUNCT
ajmsi-1979	333	15	y.	y.	PROPN
ajmsi-1979	333	16	,	,	PUNCT
ajmsi-1979	333	17	ando	ando	PROPN
ajmsi-1979	333	18	,	,	PUNCT
ajmsi-1979	333	19	k.	k.	PROPN
ajmsi-1979	333	20	,	,	PUNCT
ajmsi-1979	333	21	asai	asai	PROPN
ajmsi-1979	333	22	,	,	PUNCT
ajmsi-1979	333	23	s.	s.	PROPN
ajmsi-1979	333	24	,	,	PUNCT
ajmsi-1979	333	25	&	&	CCONJ
ajmsi-1979	333	26	miyachi	miyachi	PROPN
ajmsi-1979	333	27	,	,	PUNCT
ajmsi-1979	333	28	h.	h.	PROPN
ajmsi-1979	333	29	(	(	PUNCT
ajmsi-1979	333	30	2019	2019	NUM
ajmsi-1979	333	31	)	)	PUNCT
ajmsi-1979	333	32	.	.	PUNCT
ajmsi-1979	334	1	a	a	DET
ajmsi-1979	334	2	simple	simple	ADJ
ajmsi-1979	334	3	screening	screening	NOUN
ajmsi-1979	334	4	method	method	NOUN
ajmsi-1979	334	5	for	for	ADP
ajmsi-1979	334	6	the	the	DET
ajmsi-1979	334	7	diagnosis	diagnosis	NOUN
ajmsi-1979	334	8	of	of	ADP
ajmsi-1979	334	9	chronic	chronic	ADJ
ajmsi-1979	334	10	myeloid	myeloid	NOUN
ajmsi-1979	334	11	leukemia	leukemia	NOUN
ajmsi-1979	334	12	using	use	VERB
ajmsi-1979	334	13	the	the	DET
ajmsi-1979	334	14	parameters	parameter	NOUN
ajmsi-1979	334	15	of	of	ADP
ajmsi-1979	334	16	a	a	DET
ajmsi-1979	334	17	complete	complete	ADJ
ajmsi-1979	334	18	blood	blood	NOUN
ajmsi-1979	334	19	count	count	NOUN
ajmsi-1979	334	20	and	and	CCONJ
ajmsi-1979	334	21	differentials	differential	NOUN
ajmsi-1979	334	22	.	.	PUNCT
ajmsi-1979	335	1	clinica	clinica	PROPN
ajmsi-1979	335	2	chimica	chimica	PROPN
ajmsi-1979	335	3	acta	acta	PROPN
ajmsi-1979	335	4	,	,	PUNCT
ajmsi-1979	335	5	489	489	NUM
ajmsi-1979	335	6	,	,	PUNCT
ajmsi-1979	335	7	249	249	NUM
ajmsi-1979	335	8	-	-	SYM
ajmsi-1979	335	9	253	253	NUM
ajmsi-1979	335	10	.	.	PUNCT
ajmsi-1979	336	1	origa	origa	PROPN
ajmsi-1979	336	2	,	,	PUNCT
ajmsi-1979	336	3	r.	r.	PROPN
ajmsi-1979	336	4	(	(	PUNCT
ajmsi-1979	336	5	2017	2017	NUM
ajmsi-1979	336	6	)	)	PUNCT
ajmsi-1979	336	7	.	.	PUNCT
ajmsi-1979	337	1	β	β	X
ajmsi-1979	337	2	-	-	PUNCT
ajmsi-1979	337	3	thalassemia	thalassemia	NOUN
ajmsi-1979	337	4	.	.	PUNCT
ajmsi-1979	338	1	genetics	genetic	NOUN
ajmsi-1979	338	2	in	in	ADP
ajmsi-1979	338	3	medicine	medicine	NOUN
ajmsi-1979	338	4	,	,	PUNCT
ajmsi-1979	338	5	19(6	19(6	NUM
ajmsi-1979	338	6	)	)	PUNCT
ajmsi-1979	338	7	,	,	PUNCT
ajmsi-1979	338	8	609	609	NUM
ajmsi-1979	338	9	-	-	SYM
ajmsi-1979	338	10	619	619	NUM
ajmsi-1979	338	11	.	.	PUNCT
ajmsi-1979	339	1	ramchoun	ramchoun	NOUN
ajmsi-1979	339	2	,	,	PUNCT
ajmsi-1979	339	3	h.	h.	PROPN
ajmsi-1979	339	4	,	,	PUNCT
ajmsi-1979	339	5	ghanou	ghanou	NOUN
ajmsi-1979	339	6	,	,	PUNCT
ajmsi-1979	339	7	y.	y.	PROPN
ajmsi-1979	339	8	,	,	PUNCT
ajmsi-1979	339	9	ettaouil	ettaouil	NOUN
ajmsi-1979	339	10	,	,	PUNCT
ajmsi-1979	339	11	m.	m.	NOUN
ajmsi-1979	339	12	,	,	PUNCT
ajmsi-1979	339	13	&	&	CCONJ
ajmsi-1979	339	14	janati	janati	PROPN
ajmsi-1979	339	15	idrissi	idrissi	PROPN
ajmsi-1979	339	16	,	,	PUNCT
ajmsi-1979	339	17	m.	m.	NOUN
ajmsi-1979	339	18	a.	a.	PROPN
ajmsi-1979	339	19	(	(	PUNCT
ajmsi-1979	339	20	2016	2016	NUM
ajmsi-1979	339	21	)	)	PUNCT
ajmsi-1979	339	22	.	.	PUNCT
ajmsi-1979	340	1	multilayer	multilayer	PROPN
ajmsi-1979	340	2	perceptron	perceptron	PROPN
ajmsi-1979	340	3	:	:	PUNCT
ajmsi-1979	340	4	architecture	architecture	NOUN
ajmsi-1979	340	5	optimization	optimization	NOUN
ajmsi-1979	340	6	and	and	CCONJ
ajmsi-1979	340	7	training	training	NOUN
ajmsi-1979	340	8	.	.	PUNCT
ajmsi-1979	341	1	international	international	ADJ
ajmsi-1979	341	2	journal	journal	NOUN
ajmsi-1979	341	3	of	of	ADP
ajmsi-1979	341	4	interactive	interactive	ADJ
ajmsi-1979	341	5	multimedia	multimedia	NOUN
ajmsi-1979	341	6	and	and	CCONJ
ajmsi-1979	341	7	artificial	artificial	ADJ
ajmsi-1979	341	8	intelligence	intelligence	NOUN
ajmsi-1979	341	9	,	,	PUNCT
ajmsi-1979	341	10	4	4	NUM
ajmsi-1979	341	11	,	,	PUNCT
ajmsi-1979	341	12	,	,	PUNCT
ajmsi-1979	341	13	2630	2630	NUM
ajmsi-1979	341	14	.	.	PUNCT
ajmsi-1979	342	1	https://doi.org/http://doi.org/10.9781/	https://doi.org/http://doi.org/10.9781/	PROPN
ajmsi-1979	342	2	ijimai.2016.415	ijimai.2016.415	PROPN
ajmsi-1979	342	3	sahu	sahu	PROPN
ajmsi-1979	342	4	,	,	PUNCT
ajmsi-1979	342	5	s.	s.	PROPN
ajmsi-1979	342	6	,	,	PUNCT
ajmsi-1979	342	7	&	&	CCONJ
ajmsi-1979	342	8	mehtre	mehtre	PROPN
ajmsi-1979	342	9	,	,	PUNCT
ajmsi-1979	342	10	b.	b.	PROPN
ajmsi-1979	342	11	m.	m.	PROPN
ajmsi-1979	342	12	(	(	PUNCT
ajmsi-1979	342	13	2015	2015	NUM
ajmsi-1979	342	14	)	)	PUNCT
ajmsi-1979	342	15	.	.	PUNCT
ajmsi-1979	343	1	network	network	NOUN
ajmsi-1979	343	2	intrusion	intrusion	NOUN
ajmsi-1979	343	3	detection	detection	NOUN
ajmsi-1979	343	4	system	system	NOUN
ajmsi-1979	343	5	using	use	VERB
ajmsi-1979	343	6	j48	j48	ADJ
ajmsi-1979	343	7	decision	decision	NOUN
ajmsi-1979	343	8	tree	tree	NOUN
ajmsi-1979	343	9	.	.	PUNCT
ajmsi-1979	344	1	2015	2015	NUM
ajmsi-1979	344	2	international	international	ADJ
ajmsi-1979	344	3	conference	conference	NOUN
ajmsi-1979	344	4	on	on	ADP
ajmsi-1979	344	5	advances	advance	NOUN
ajmsi-1979	344	6	in	in	ADP
ajmsi-1979	344	7	computing	computing	NOUN
ajmsi-1979	344	8	,	,	PUNCT
ajmsi-1979	344	9	communications	communication	NOUN
ajmsi-1979	344	10	and	and	CCONJ
ajmsi-1979	344	11	informatics	informatic	NOUN
ajmsi-1979	344	12	(	(	PUNCT
ajmsi-1979	344	13	icacci	icacci	PROPN
ajmsi-1979	344	14	)	)	PUNCT
ajmsi-1979	344	15	,	,	PUNCT
ajmsi-1979	344	16	saichanma	saichanma	PROPN
ajmsi-1979	344	17	,	,	PUNCT
ajmsi-1979	344	18	s.	s.	PROPN
ajmsi-1979	344	19	,	,	PUNCT
ajmsi-1979	344	20	chulsomlee	chulsomlee	PROPN
ajmsi-1979	344	21	,	,	PUNCT
ajmsi-1979	344	22	s.	s.	PROPN
ajmsi-1979	344	23	,	,	PUNCT
ajmsi-1979	344	24	thangrua	thangrua	PROPN
ajmsi-1979	344	25	,	,	PUNCT
ajmsi-1979	344	26	n.	n.	NOUN
ajmsi-1979	344	27	,	,	PUNCT
ajmsi-1979	344	28	pongsuchart	pongsuchart	NOUN
ajmsi-1979	344	29	,	,	PUNCT
ajmsi-1979	344	30	p.	p.	PROPN
ajmsi-1979	344	31	,	,	PUNCT
ajmsi-1979	344	32	&	&	CCONJ
ajmsi-1979	344	33	sanmun	sanmun	PROPN
ajmsi-1979	344	34	,	,	PUNCT
ajmsi-1979	344	35	d.	d.	PROPN
ajmsi-1979	344	36	(	(	PUNCT
ajmsi-1979	344	37	2014	2014	NUM
ajmsi-1979	344	38	)	)	PUNCT
ajmsi-1979	344	39	.	.	PUNCT
ajmsi-1979	345	1	the	the	DET
ajmsi-1979	345	2	observation	observation	NOUN
ajmsi-1979	345	3	report	report	NOUN
ajmsi-1979	345	4	of	of	ADP
ajmsi-1979	345	5	red	red	ADJ
ajmsi-1979	345	6	blood	blood	NOUN
ajmsi-1979	345	7	cell	cell	NOUN
ajmsi-1979	345	8	morphology	morphology	NOUN
ajmsi-1979	345	9	in	in	ADP
ajmsi-1979	345	10	thailand	thailand	PROPN
ajmsi-1979	345	11	teenager	teenager	NOUN
ajmsi-1979	345	12	by	by	ADP
ajmsi-1979	345	13	using	use	VERB
ajmsi-1979	345	14	data	datum	NOUN
ajmsi-1979	345	15	mining	mining	NOUN
ajmsi-1979	345	16	technique	technique	NOUN
ajmsi-1979	345	17	.	.	PUNCT
ajmsi-1979	346	1	advances	advance	NOUN
ajmsi-1979	346	2	in	in	ADP
ajmsi-1979	346	3	hematology	hematology	NOUN
ajmsi-1979	346	4	,	,	PUNCT
ajmsi-1979	346	5	2014	2014	NUM
ajmsi-1979	346	6	.	.	PUNCT
ajmsi-1979	347	1	sharma	sharma	PROPN
ajmsi-1979	347	2	,	,	PUNCT
ajmsi-1979	347	3	n.	n.	NOUN
ajmsi-1979	347	4	,	,	PUNCT
ajmsi-1979	347	5	bajpai	bajpai	PROPN
ajmsi-1979	347	6	,	,	PUNCT
ajmsi-1979	347	7	a.	a.	PROPN
ajmsi-1979	347	8	,	,	PUNCT
ajmsi-1979	347	9	&	&	CCONJ
ajmsi-1979	347	10	litoriya	litoriya	PROPN
ajmsi-1979	347	11	,	,	PUNCT
ajmsi-1979	347	12	m.	m.	PROPN
ajmsi-1979	347	13	r.	r.	PROPN
ajmsi-1979	347	14	(	(	PUNCT
ajmsi-1979	347	15	2012	2012	NUM
ajmsi-1979	347	16	)	)	PUNCT
ajmsi-1979	347	17	.	.	PUNCT
ajmsi-1979	348	1	comparison	comparison	NOUN
ajmsi-1979	348	2	the	the	DET
ajmsi-1979	348	3	various	various	ADJ
ajmsi-1979	348	4	clustering	clustering	ADJ
ajmsi-1979	348	5	algorithms	algorithm	NOUN
ajmsi-1979	348	6	of	of	ADP
ajmsi-1979	348	7	weka	weka	PROPN
ajmsi-1979	348	8	tools	tool	NOUN
ajmsi-1979	348	9	.	.	PUNCT
ajmsi-1979	349	1	facilities	facility	NOUN
ajmsi-1979	349	2	,	,	PUNCT
ajmsi-1979	349	3	4(7	4(7	NUM
ajmsi-1979	349	4	)	)	PUNCT
ajmsi-1979	349	5	,	,	PUNCT
ajmsi-1979	349	6	78	78	NUM
ajmsi-1979	349	7	-	-	SYM
ajmsi-1979	349	8	80	80	NUM
ajmsi-1979	349	9	.	.	PUNCT
ajmsi-1979	350	1	singh	singh	PROPN
ajmsi-1979	350	2	,	,	PUNCT
ajmsi-1979	350	3	p.	p.	NOUN
ajmsi-1979	350	4	,	,	PUNCT
ajmsi-1979	350	5	singh	singh	PROPN
ajmsi-1979	350	6	,	,	PUNCT
ajmsi-1979	350	7	s.	s.	PROPN
ajmsi-1979	350	8	,	,	PUNCT
ajmsi-1979	350	9	&	&	CCONJ
ajmsi-1979	350	10	pandi	pandi	PROPN
ajmsi-1979	350	11	-	-	PUNCT
ajmsi-1979	350	12	jain	jain	PROPN
ajmsi-1979	350	13	,	,	PUNCT
ajmsi-1979	350	14	g.	g.	PROPN
ajmsi-1979	350	15	s.	s.	PROPN
ajmsi-1979	350	16	(	(	PUNCT
ajmsi-1979	350	17	2018	2018	NUM
ajmsi-1979	350	18	)	)	PUNCT
ajmsi-1979	350	19	.	.	PUNCT
ajmsi-1979	351	1	effective	effective	ADJ
ajmsi-1979	351	2	heart	heart	NOUN
ajmsi-1979	351	3	disease	disease	NOUN
ajmsi-1979	351	4	prediction	prediction	NOUN
ajmsi-1979	351	5	system	system	NOUN
ajmsi-1979	351	6	using	use	VERB
ajmsi-1979	351	7	data	datum	NOUN
ajmsi-1979	351	8	mining	mining	NOUN
ajmsi-1979	351	9	techniques	technique	NOUN
ajmsi-1979	351	10	.	.	PUNCT
ajmsi-1979	352	1	international	international	ADJ
ajmsi-1979	352	2	journal	journal	PROPN
ajmsi-1979	352	3	of	of	ADP
ajmsi-1979	352	4	nanomedicine	nanomedicine	PROPN
ajmsi-1979	352	5	,	,	PUNCT
ajmsi-1979	352	6	13(sup1	13(sup1	NUM
ajmsi-1979	352	7	)	)	PUNCT
ajmsi-1979	352	8	,	,	PUNCT
ajmsi-1979	352	9	121	121	NUM
ajmsi-1979	352	10	-	-	SYM
ajmsi-1979	352	11	124	124	NUM
ajmsi-1979	352	12	.	.	PUNCT
ajmsi-1979	353	1	singhal	singhal	PROPN
ajmsi-1979	353	2	,	,	PUNCT
ajmsi-1979	353	3	s.	s.	PROPN
ajmsi-1979	353	4	,	,	PUNCT
ajmsi-1979	353	5	&	&	CCONJ
ajmsi-1979	353	6	jena	jena	PROPN
ajmsi-1979	353	7	,	,	PUNCT
ajmsi-1979	353	8	m.	m.	NOUN
ajmsi-1979	353	9	(	(	PUNCT
ajmsi-1979	353	10	2013	2013	NUM
ajmsi-1979	353	11	)	)	PUNCT
ajmsi-1979	353	12	.	.	PUNCT
ajmsi-1979	354	1	a	a	DET
ajmsi-1979	354	2	study	study	NOUN
ajmsi-1979	354	3	on	on	ADP
ajmsi-1979	354	4	weka	weka	PROPN
ajmsi-1979	354	5	tool	tool	PROPN
ajmsi-1979	354	6	for	for	ADP
ajmsi-1979	354	7	data	data	NOUN
ajmsi-1979	354	8	preprocessing	preprocessing	NOUN
ajmsi-1979	354	9	,	,	PUNCT
ajmsi-1979	354	10	classification	classification	NOUN
ajmsi-1979	354	11	and	and	CCONJ
ajmsi-1979	354	12	clustering	clustering	NOUN
ajmsi-1979	354	13	.	.	PUNCT
ajmsi-1979	355	1	international	international	ADJ
ajmsi-1979	355	2	journal	journal	NOUN
ajmsi-1979	355	3	of	of	ADP
ajmsi-1979	355	4	innovative	innovative	ADJ
ajmsi-1979	355	5	technology	technology	NOUN
ajmsi-1979	355	6	and	and	CCONJ
ajmsi-1979	355	7	exploring	explore	VERB
ajmsi-1979	355	8	engineering	engineering	NOUN
ajmsi-1979	355	9	(	(	PUNCT
ajmsi-1979	355	10	ijitee	ijitee	NOUN
ajmsi-1979	355	11	)	)	PUNCT
ajmsi-1979	355	12	,	,	PUNCT
ajmsi-1979	355	13	2(6	2(6	NUM
ajmsi-1979	355	14	)	)	PUNCT
ajmsi-1979	355	15	,	,	PUNCT
ajmsi-1979	355	16	250	250	NUM
ajmsi-1979	355	17	-	-	SYM
ajmsi-1979	355	18	253	253	NUM
ajmsi-1979	355	19	.	.	PUNCT
ajmsi-1979	356	1	sultana	sultana	NOUN
ajmsi-1979	356	2	,	,	PUNCT
ajmsi-1979	356	3	m.	m.	NOUN
ajmsi-1979	356	4	,	,	PUNCT
ajmsi-1979	356	5	haider	haider	PROPN
ajmsi-1979	356	6	,	,	PUNCT
ajmsi-1979	356	7	a.	a.	PROPN
ajmsi-1979	356	8	,	,	PUNCT
ajmsi-1979	356	9	&	&	CCONJ
ajmsi-1979	356	10	uddin	uddin	PROPN
ajmsi-1979	356	11	,	,	PUNCT
ajmsi-1979	356	12	m.	m.	NOUN
ajmsi-1979	356	13	s.	s.	PROPN
ajmsi-1979	356	14	(	(	PUNCT
ajmsi-1979	356	15	2016	2016	NUM
ajmsi-1979	356	16	)	)	PUNCT
ajmsi-1979	356	17	.	.	PUNCT
ajmsi-1979	357	1	analysis	analysis	NOUN
ajmsi-1979	357	2	of	of	ADP
ajmsi-1979	357	3	data	datum	NOUN
ajmsi-1979	357	4	mining	mining	NOUN
ajmsi-1979	357	5	techniques	technique	NOUN
ajmsi-1979	357	6	for	for	ADP
ajmsi-1979	357	7	heart	heart	NOUN
ajmsi-1979	357	8	disease	disease	NOUN
ajmsi-1979	357	9	prediction	prediction	NOUN
ajmsi-1979	357	10	.	.	PUNCT
ajmsi-1979	358	1	2016	2016	NUM
ajmsi-1979	358	2	3rd	3rd	ADJ
ajmsi-1979	358	3	international	international	ADJ
ajmsi-1979	358	4	conference	conference	NOUN
ajmsi-1979	358	5	on	on	ADP
ajmsi-1979	358	6	electrical	electrical	ADJ
ajmsi-1979	358	7	engineering	engineering	NOUN
ajmsi-1979	358	8	and	and	CCONJ
ajmsi-1979	358	9	information	information	NOUN
ajmsi-1979	358	10	communication	communication	NOUN
ajmsi-1979	358	11	technology	technology	NOUN
ajmsi-1979	358	12	(	(	PUNCT
ajmsi-1979	358	13	iceeict	iceeict	PROPN
ajmsi-1979	358	14	)	)	PUNCT
ajmsi-1979	358	15	,	,	PUNCT
ajmsi-1979	358	16	tomar	tomar	PROPN
ajmsi-1979	358	17	,	,	PUNCT
ajmsi-1979	358	18	d.	d.	PROPN
ajmsi-1979	358	19	,	,	PUNCT
ajmsi-1979	358	20	&	&	CCONJ
ajmsi-1979	358	21	agarwal	agarwal	PROPN
ajmsi-1979	358	22	,	,	PUNCT
ajmsi-1979	358	23	s.	s.	PROPN
ajmsi-1979	358	24	(	(	PUNCT
ajmsi-1979	358	25	2013	2013	NUM
ajmsi-1979	358	26	)	)	PUNCT
ajmsi-1979	358	27	.	.	PUNCT
ajmsi-1979	359	1	a	a	DET
ajmsi-1979	359	2	survey	survey	NOUN
ajmsi-1979	359	3	on	on	ADP
ajmsi-1979	359	4	data	datum	NOUN
ajmsi-1979	359	5	mining	mining	NOUN
ajmsi-1979	359	6	approaches	approach	NOUN
ajmsi-1979	359	7	for	for	ADP
ajmsi-1979	359	8	healthcare	healthcare	NOUN
ajmsi-1979	359	9	.	.	PUNCT
ajmsi-1979	360	1	international	international	ADJ
ajmsi-1979	360	2	journal	journal	PROPN
ajmsi-1979	360	3	of	of	ADP
ajmsi-1979	360	4	bioscience	bioscience	PROPN
ajmsi-1979	360	5	and	and	CCONJ
ajmsi-1979	360	6	bio	bio	NOUN
ajmsi-1979	360	7	-	-	NOUN
ajmsi-1979	360	8	technology	technology	NOUN
ajmsi-1979	360	9	,	,	PUNCT
ajmsi-1979	360	10	5(5	5(5	NUM
ajmsi-1979	360	11	)	)	PUNCT
ajmsi-1979	360	12	,	,	PUNCT
ajmsi-1979	360	13	241	241	NUM
ajmsi-1979	360	14	-	-	SYM
ajmsi-1979	360	15	266	266	NUM
ajmsi-1979	360	16	.	.	PUNCT
ajmsi-1979	361	1	wang	wang	PROPN
ajmsi-1979	361	2	,	,	PUNCT
ajmsi-1979	361	3	r.	r.	PROPN
ajmsi-1979	361	4	,	,	PUNCT
ajmsi-1979	361	5	&	&	CCONJ
ajmsi-1979	361	6	li	li	PROPN
ajmsi-1979	361	7	,	,	PUNCT
ajmsi-1979	361	8	j.	j.	PROPN
ajmsi-1979	361	9	(	(	PUNCT
ajmsi-1979	361	10	2019	2019	NUM
ajmsi-1979	361	11	)	)	PUNCT
ajmsi-1979	361	12	.	.	PUNCT
ajmsi-1979	362	1	bayes	bayes	PROPN
ajmsi-1979	362	2	test	test	NOUN
ajmsi-1979	362	3	of	of	ADP
ajmsi-1979	362	4	precision	precision	NOUN
ajmsi-1979	362	5	,	,	PUNCT
ajmsi-1979	362	6	recall	recall	NOUN
ajmsi-1979	362	7	,	,	PUNCT
ajmsi-1979	362	8	and	and	CCONJ
ajmsi-1979	362	9	f1	f1	NOUN
ajmsi-1979	362	10	measure	measure	NOUN
ajmsi-1979	362	11	for	for	ADP
ajmsi-1979	362	12	comparison	comparison	NOUN
ajmsi-1979	362	13	of	of	ADP
ajmsi-1979	362	14	two	two	NUM
ajmsi-1979	362	15	natural	natural	ADJ
ajmsi-1979	362	16	language	language	NOUN
ajmsi-1979	362	17	processing	processing	NOUN
ajmsi-1979	362	18	models	model	NOUN
ajmsi-1979	362	19	.	.	PUNCT
ajmsi-1979	363	1	proceedings	proceeding	NOUN
ajmsi-1979	363	2	of	of	ADP
ajmsi-1979	363	3	the	the	DET
ajmsi-1979	363	4	57th	57th	ADJ
ajmsi-1979	363	5	annual	annual	ADJ
ajmsi-1979	363	6	meeting	meeting	NOUN
ajmsi-1979	363	7	of	of	ADP
ajmsi-1979	363	8	the	the	DET
ajmsi-1979	363	9	association	association	NOUN
ajmsi-1979	363	10	for	for	ADP
ajmsi-1979	363	11	computational	computational	ADJ
ajmsi-1979	363	12	linguistics	linguistic	NOUN
ajmsi-1979	363	13	,	,	PUNCT
ajmsi-1979	363	14	xu	xu	PROPN
ajmsi-1979	363	15	,	,	PUNCT
ajmsi-1979	363	16	s.	s.	PROPN
ajmsi-1979	363	17	(	(	PUNCT
ajmsi-1979	363	18	2018	2018	NUM
ajmsi-1979	363	19	)	)	PUNCT
ajmsi-1979	363	20	.	.	PUNCT
ajmsi-1979	364	1	bayesian	bayesian	NOUN
ajmsi-1979	364	2	naïve	naïve	ADJ
ajmsi-1979	364	3	bayes	bayes	PROPN
ajmsi-1979	364	4	classifiers	classifier	NOUN
ajmsi-1979	364	5	to	to	PART
ajmsi-1979	364	6	text	text	VERB
ajmsi-1979	364	7	classification	classification	NOUN
ajmsi-1979	364	8	.	.	PUNCT
ajmsi-1979	365	1	journal	journal	NOUN
ajmsi-1979	365	2	of	of	ADP
ajmsi-1979	365	3	information	information	NOUN
ajmsi-1979	365	4	science	science	NOUN
ajmsi-1979	365	5	,	,	PUNCT
ajmsi-1979	365	6	44(1	44(1	PROPN
ajmsi-1979	365	7	)	)	PUNCT
ajmsi-1979	365	8	,	,	PUNCT
ajmsi-1979	365	9	48	48	NUM
ajmsi-1979	365	10	-	-	SYM
ajmsi-1979	365	11	59	59	NUM
ajmsi-1979	365	12	.	.	PUNCT
ajmsi-1979	366	1	yin	yin	PROPN
ajmsi-1979	366	2	,	,	PUNCT
ajmsi-1979	366	3	y.	y.	PROPN
ajmsi-1979	366	4	,	,	PUNCT
ajmsi-1979	366	5	zhang	zhang	PROPN
ajmsi-1979	366	6	,	,	PUNCT
ajmsi-1979	366	7	y.	y.	PROPN
ajmsi-1979	366	8	,	,	PUNCT
ajmsi-1979	366	9	wang	wang	PROPN
ajmsi-1979	366	10	,	,	PUNCT
ajmsi-1979	366	11	d.	d.	PROPN
ajmsi-1979	366	12	,	,	PUNCT
ajmsi-1979	366	13	han	han	PROPN
ajmsi-1979	366	14	,	,	PUNCT
ajmsi-1979	366	15	x.	x.	PROPN
ajmsi-1979	366	16	,	,	PUNCT
ajmsi-1979	366	17	chu	chu	PROPN
ajmsi-1979	366	18	,	,	PUNCT
ajmsi-1979	366	19	x.	x.	PROPN
ajmsi-1979	366	20	,	,	PUNCT
ajmsi-1979	366	21	shen	shen	PROPN
ajmsi-1979	366	22	,	,	PUNCT
ajmsi-1979	366	23	m.	m.	NOUN
ajmsi-1979	366	24	,	,	PUNCT
ajmsi-1979	366	25	&	&	CCONJ
ajmsi-1979	366	26	zeng	zeng	PROPN
ajmsi-1979	366	27	,	,	PUNCT
ajmsi-1979	366	28	x.	x.	NOUN
ajmsi-1979	366	29	(	(	PUNCT
ajmsi-1979	366	30	2020	2020	NUM
ajmsi-1979	366	31	)	)	PUNCT
ajmsi-1979	366	32	.	.	PUNCT
ajmsi-1979	367	1	complete	complete	ADJ
ajmsi-1979	367	2	blood	blood	NOUN
ajmsi-1979	367	3	count	count	NOUN
ajmsi-1979	367	4	reflecting	reflect	VERB
ajmsi-1979	367	5	the	the	DET
ajmsi-1979	367	6	disease	disease	NOUN
ajmsi-1979	367	7	status	status	NOUN
ajmsi-1979	367	8	of	of	ADP
ajmsi-1979	367	9	giant	giant	ADJ
ajmsi-1979	367	10	cell	cell	NOUN
ajmsi-1979	367	11	arteritis	arteritis	NOUN
ajmsi-1979	367	12	:	:	PUNCT
ajmsi-1979	367	13	a	a	DET
ajmsi-1979	367	14	retrospective	retrospective	ADJ
ajmsi-1979	367	15	study	study	NOUN
ajmsi-1979	367	16	of	of	ADP
ajmsi-1979	367	17	chinese	chinese	ADJ
ajmsi-1979	367	18	patients	patient	NOUN
ajmsi-1979	367	19	.	.	PUNCT
ajmsi-1979	368	1	medicine	medicine	NOUN
ajmsi-1979	368	2	,	,	PUNCT
ajmsi-1979	368	3	99(39	99(39	NUM
ajmsi-1979	368	4	)	)	PUNCT
ajmsi-1979	368	5	.	.	PUNCT
ajmsi-1979	369	1	zengin	zengin	NOUN
ajmsi-1979	369	2	,	,	PUNCT
ajmsi-1979	369	3	k.	k.	PROPN
ajmsi-1979	369	4	,	,	PUNCT
ajmsi-1979	369	5	güngör	güngör	PROPN
ajmsi-1979	369	6	,	,	PUNCT
ajmsi-1979	369	7	c.	c.	PROPN
ajmsi-1979	369	8	,	,	PUNCT
ajmsi-1979	369	9	&	&	CCONJ
ajmsi-1979	369	10	eşgi	eşgi	PROPN
ajmsi-1979	369	11	,	,	PUNCT
ajmsi-1979	369	12	n.	n.	NOUN
ajmsi-1979	369	13	(	(	PUNCT
ajmsi-1979	369	14	2017	2017	NUM
ajmsi-1979	369	15	)	)	PUNCT
ajmsi-1979	369	16	.	.	PUNCT
ajmsi-1979	370	1	heart	heart	NOUN
ajmsi-1979	370	2	rate	rate	NOUN
ajmsi-1979	370	3	signal	signal	NOUN
ajmsi-1979	370	4	classification	classification	NOUN
ajmsi-1979	370	5	by	by	ADP
ajmsi-1979	370	6	smo	smo	PROPN
ajmsi-1979	370	7	algorithm	algorithm	NOUN
ajmsi-1979	370	8	.	.	PUNCT
ajmsi-1979	371	1	international	international	ADJ
ajmsi-1979	371	2	research	research	PROPN
ajmsi-1979	371	3	journal	journal	PROPN
ajmsi-1979	371	4	of	of	ADP
ajmsi-1979	371	5	mathematics	mathematic	NOUN
ajmsi-1979	371	6	,	,	PUNCT
ajmsi-1979	371	7	engineering	engineering	NOUN
ajmsi-1979	371	8	and	and	CCONJ
ajmsi-1979	371	9	it	it	PRON
ajmsi-1979	371	10	,	,	PUNCT
ajmsi-1979	371	11	4(12	4(12	NUM
ajmsi-1979	371	12	)	)	PUNCT
ajmsi-1979	371	13	.	.	PUNCT
ajmsi-1979	372	1	zhang	zhang	PROPN
ajmsi-1979	372	2	,	,	PUNCT
ajmsi-1979	372	3	q.	q.	PROPN
ajmsi-1979	372	4	,	,	PUNCT
ajmsi-1979	372	5	wang	wang	PROPN
ajmsi-1979	372	6	,	,	PUNCT
ajmsi-1979	372	7	j.	j.	PROPN
ajmsi-1979	372	8	,	,	PUNCT
ajmsi-1979	372	9	lu	lu	PROPN
ajmsi-1979	372	10	,	,	PUNCT
ajmsi-1979	372	11	a.	a.	PROPN
ajmsi-1979	372	12	,	,	PUNCT
ajmsi-1979	372	13	wang	wang	PROPN
ajmsi-1979	372	14	,	,	PUNCT
ajmsi-1979	372	15	s.	s.	PROPN
ajmsi-1979	372	16	,	,	PUNCT
ajmsi-1979	372	17	&	&	CCONJ
ajmsi-1979	372	18	ma	ma	PROPN
ajmsi-1979	372	19	,	,	PUNCT
ajmsi-1979	372	20	j.	j.	PROPN
ajmsi-1979	372	21	(	(	PUNCT
ajmsi-1979	372	22	2018	2018	NUM
ajmsi-1979	372	23	)	)	PUNCT
ajmsi-1979	372	24	.	.	PUNCT
ajmsi-1979	373	1	an	an	DET
ajmsi-1979	373	2	improved	improve	VERB
ajmsi-1979	373	3	smo	smo	NOUN
ajmsi-1979	373	4	algorithm	algorithm	NOUN
ajmsi-1979	373	5	for	for	ADP
ajmsi-1979	373	6	financial	financial	ADJ
ajmsi-1979	373	7	credit	credit	NOUN
ajmsi-1979	373	8	risk	risk	NOUN
ajmsi-1979	373	9	assessment	assessment	NOUN
ajmsi-1979	373	10	–	–	PUNCT
ajmsi-1979	373	11	evidence	evidence	NOUN
ajmsi-1979	373	12	from	from	ADP
ajmsi-1979	373	13	china	china	PROPN
ajmsi-1979	373	14	’s	’s	PART
ajmsi-1979	373	15	banking	banking	NOUN
ajmsi-1979	373	16	.	.	PUNCT
ajmsi-1979	374	1	neurocomputing	neurocomputing	NOUN
ajmsi-1979	374	2	,	,	PUNCT
ajmsi-1979	374	3	272	272	NUM
ajmsi-1979	374	4	,	,	PUNCT
ajmsi-1979	374	5	314	314	NUM
ajmsi-1979	374	6	-	-	SYM
ajmsi-1979	374	7	325	325	NUM
ajmsi-1979	374	8	.	.	PUNCT