id	sid	tid	token	lemma	pos
easat-5666	1	1	edelweiss	edelweiss	PROPN
easat-5666	1	2	applied	apply	VERB
easat-5666	1	3	science	science	NOUN
easat-5666	1	4	and	and	CCONJ
easat-5666	1	5	technology	technology	NOUN
easat-5666	1	6	issn	issn	PROPN
easat-5666	1	7	:	:	PUNCT
easat-5666	1	8	2576	2576	NUM
easat-5666	1	9	-	-	SYM
easat-5666	1	10	8484	8484	NUM
easat-5666	1	11	vol	vol	NOUN
easat-5666	1	12	.	.	PROPN
easat-5666	2	1	9	9	NUM
easat-5666	2	2	,	,	PUNCT
easat-5666	2	3	no	no	INTJ
easat-5666	2	4	.	.	NOUN
easat-5666	2	5	3	3	NUM
easat-5666	2	6	,	,	PUNCT
easat-5666	2	7	1665	1665	NUM
easat-5666	2	8	-	-	SYM
easat-5666	2	9	1674	1674	NUM
easat-5666	2	10	2025	2025	NUM
easat-5666	2	11	publisher	publisher	NOUN
easat-5666	2	12	:	:	PUNCT
easat-5666	2	13	learning	learn	VERB
easat-5666	2	14	gate	gate	NOUN
easat-5666	2	15	doi	doi	PROPN
easat-5666	2	16	:	:	PUNCT
easat-5666	2	17	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	2	18	©	©	NOUN
easat-5666	2	19	2025	2025	NUM
easat-5666	2	20	by	by	ADP
easat-5666	2	21	the	the	DET
easat-5666	2	22	authors	author	NOUN
easat-5666	2	23	;	;	PUNCT
easat-5666	2	24	licensee	licensee	PROPN
easat-5666	2	25	learning	learning	NOUN
easat-5666	2	26	gate	gate	NOUN
easat-5666	3	1	©	©	PROPN
easat-5666	3	2	2025	2025	NUM
easat-5666	3	3	by	by	ADP
easat-5666	3	4	the	the	DET
easat-5666	3	5	authors	author	NOUN
easat-5666	3	6	;	;	PUNCT
easat-5666	3	7	licensee	licensee	PROPN
easat-5666	3	8	learning	learning	NOUN
easat-5666	3	9	gate	gate	NOUN
easat-5666	3	10	history	history	NOUN
easat-5666	3	11	:	:	PUNCT
easat-5666	3	12	received	receive	VERB
easat-5666	3	13	:	:	PUNCT
easat-5666	3	14	17	17	NUM
easat-5666	3	15	january	january	NOUN
easat-5666	3	16	2025	2025	NUM
easat-5666	3	17	;	;	PUNCT
easat-5666	3	18	revised	revise	VERB
easat-5666	3	19	:	:	PUNCT
easat-5666	3	20	18	18	NUM
easat-5666	3	21	march	march	NOUN
easat-5666	3	22	2025	2025	NUM
easat-5666	3	23	;	;	PUNCT
easat-5666	3	24	accepted	accept	VERB
easat-5666	3	25	:	:	PUNCT
easat-5666	3	26	19	19	NUM
easat-5666	3	27	march	march	NOUN
easat-5666	3	28	2025	2025	NUM
easat-5666	3	29	;	;	PUNCT
easat-5666	3	30	published	publish	VERB
easat-5666	3	31	:	:	PUNCT
easat-5666	3	32	22	22	NUM
easat-5666	3	33	march	march	NOUN
easat-5666	3	34	2025	2025	NUM
easat-5666	3	35	*	*	PUNCT
easat-5666	3	36	correspondence	correspondence	NOUN
easat-5666	3	37	:	:	PUNCT
easat-5666	4	1	berkan.ural@kafkas.edu.tr	berkan.ural@kafkas.edu.tr	ADV
easat-5666	5	1	analysis	analysis	NOUN
easat-5666	5	2	of	of	ADP
easat-5666	5	3	obesity	obesity	NOUN
easat-5666	5	4	statuses	status	NOUN
easat-5666	5	5	on	on	ADP
easat-5666	5	6	rats	rat	NOUN
easat-5666	5	7	using	use	VERB
easat-5666	5	8	blood	blood	NOUN
easat-5666	5	9	test	test	NOUN
easat-5666	5	10	parameters	parameter	NOUN
easat-5666	5	11	:	:	PUNCT
easat-5666	5	12	a	a	DET
easat-5666	5	13	feasibility	feasibility	NOUN
easat-5666	5	14	study	study	NOUN
easat-5666	5	15	ali	ali	PROPN
easat-5666	5	16	berkan	berkan	VERB
easat-5666	5	17	ural1	ural1	PROPN
easat-5666	5	18	*	*	PROPN
easat-5666	5	19	,	,	PUNCT
easat-5666	5	20	evren	evren	PROPN
easat-5666	5	21	koç2	koç2	VERB
easat-5666	5	22	1department	1department	NUM
easat-5666	5	23	of	of	ADP
easat-5666	5	24	electrical	electrical	ADJ
easat-5666	5	25	electronics	electronic	NOUN
easat-5666	5	26	engineering	engineering	NOUN
easat-5666	5	27	,	,	PUNCT
easat-5666	5	28	circuit	circuit	NOUN
easat-5666	5	29	and	and	CCONJ
easat-5666	5	30	systems	system	NOUN
easat-5666	5	31	/	/	SYM
easat-5666	5	32	biomedical	biomedical	ADJ
easat-5666	5	33	,	,	PUNCT
easat-5666	5	34	kafkas	kafkas	ADJ
easat-5666	5	35	university	university	PROPN
easat-5666	5	36	,	,	PUNCT
easat-5666	5	37	kars	kars	PROPN
easat-5666	5	38	,	,	PUNCT
easat-5666	5	39	turkey	turkey	PROPN
easat-5666	5	40	,	,	PUNCT
easat-5666	6	1	berkan.ural@kafkas.edu.tr	berkan.ural@kafkas.edu.tr	X
easat-5666	6	2	(	(	PUNCT
easat-5666	6	3	a.b.u	a.b.u	PROPN
easat-5666	6	4	.	.	PUNCT
easat-5666	6	5	)	)	PUNCT
easat-5666	7	1	2department	2department	NUM
easat-5666	7	2	of	of	ADP
easat-5666	7	3	bio	bio	PROPN
easat-5666	7	4	engineering	engineering	PROPN
easat-5666	7	5	,	,	PUNCT
easat-5666	7	6	kafkas	kafkas	ADJ
easat-5666	7	7	university	university	PROPN
easat-5666	7	8	,	,	PUNCT
easat-5666	7	9	kars	kars	PROPN
easat-5666	7	10	,	,	PUNCT
easat-5666	7	11	turkey	turkey	PROPN
easat-5666	7	12	,	,	PUNCT
easat-5666	7	13	evrenkoc@kafkas.edu.tr	evrenkoc@kafkas.edu.tr	NOUN
easat-5666	7	14	(	(	PUNCT
easat-5666	7	15	e.k	e.k	PROPN
easat-5666	7	16	.	.	PUNCT
easat-5666	7	17	)	)	PUNCT
easat-5666	8	1	abstract	abstract	NOUN
easat-5666	8	2	:	:	PUNCT
easat-5666	8	3	although	although	SCONJ
easat-5666	8	4	obesity	obesity	NOUN
easat-5666	8	5	has	have	AUX
easat-5666	8	6	become	become	VERB
easat-5666	8	7	a	a	DET
easat-5666	8	8	significant	significant	ADJ
easat-5666	8	9	issue	issue	NOUN
easat-5666	8	10	in	in	ADP
easat-5666	8	11	our	our	PRON
easat-5666	8	12	era	era	NOUN
easat-5666	8	13	,	,	PUNCT
easat-5666	8	14	various	various	ADJ
easat-5666	8	15	diagnostic	diagnostic	ADJ
easat-5666	8	16	systems	system	NOUN
easat-5666	8	17	and	and	CCONJ
easat-5666	8	18	kits	kit	NOUN
easat-5666	8	19	are	be	AUX
easat-5666	8	20	being	be	AUX
easat-5666	8	21	developed	develop	VERB
easat-5666	8	22	for	for	ADP
easat-5666	8	23	its	its	PRON
easat-5666	8	24	early	early	ADJ
easat-5666	8	25	detection	detection	NOUN
easat-5666	8	26	.	.	PUNCT
easat-5666	9	1	in	in	ADP
easat-5666	9	2	addition	addition	NOUN
easat-5666	9	3	to	to	ADP
easat-5666	9	4	numerous	numerous	ADJ
easat-5666	9	5	studies	study	NOUN
easat-5666	9	6	in	in	ADP
easat-5666	9	7	the	the	DET
easat-5666	9	8	literature	literature	NOUN
easat-5666	9	9	,	,	PUNCT
easat-5666	9	10	the	the	DET
easat-5666	9	11	early	early	ADJ
easat-5666	9	12	diagnosis	diagnosis	NOUN
easat-5666	9	13	of	of	ADP
easat-5666	9	14	obesity	obesity	NOUN
easat-5666	9	15	has	have	AUX
easat-5666	9	16	generally	generally	ADV
easat-5666	9	17	been	be	AUX
easat-5666	9	18	conducted	conduct	VERB
easat-5666	9	19	on	on	ADP
easat-5666	9	20	human	human	ADJ
easat-5666	9	21	participants	participant	NOUN
easat-5666	9	22	.	.	PUNCT
easat-5666	10	1	this	this	DET
easat-5666	10	2	study	study	NOUN
easat-5666	10	3	introduces	introduce	VERB
easat-5666	10	4	an	an	DET
easat-5666	10	5	innovative	innovative	ADJ
easat-5666	10	6	feasibility	feasibility	NOUN
easat-5666	10	7	approach	approach	NOUN
easat-5666	10	8	by	by	ADP
easat-5666	10	9	developing	develop	VERB
easat-5666	10	10	an	an	DET
easat-5666	10	11	ai	ai	NOUN
easat-5666	10	12	and	and	CCONJ
easat-5666	10	13	machine	machine	NOUN
easat-5666	10	14	learning	learning	NOUN
easat-5666	10	15	-	-	PUNCT
easat-5666	10	16	based	base	VERB
easat-5666	10	17	obesity	obesity	NOUN
easat-5666	10	18	prediction	prediction	NOUN
easat-5666	10	19	and	and	CCONJ
easat-5666	10	20	interpretation	interpretation	NOUN
easat-5666	10	21	application	application	NOUN
easat-5666	10	22	using	use	VERB
easat-5666	10	23	blood	blood	NOUN
easat-5666	10	24	test	test	NOUN
easat-5666	10	25	parameters	parameter	NOUN
easat-5666	10	26	obtained	obtain	VERB
easat-5666	10	27	from	from	ADP
easat-5666	10	28	rodent	rodent	ADJ
easat-5666	10	29	subjects	subject	NOUN
easat-5666	10	30	.	.	PUNCT
easat-5666	11	1	in	in	ADP
easat-5666	11	2	the	the	DET
easat-5666	11	3	experimental	experimental	ADJ
easat-5666	11	4	phase	phase	NOUN
easat-5666	11	5	,	,	PUNCT
easat-5666	11	6	with	with	ADP
easat-5666	11	7	a	a	DET
easat-5666	11	8	publicly	publicly	ADV
easat-5666	11	9	available	available	ADJ
easat-5666	11	10	dataset	dataset	NOUN
easat-5666	11	11	,	,	PUNCT
easat-5666	11	12	10	10	NUM
easat-5666	11	13	obese	obese	ADJ
easat-5666	11	14	and	and	CCONJ
easat-5666	11	15	10	10	NUM
easat-5666	11	16	normal	normal	ADJ
easat-5666	11	17	(	(	PUNCT
easat-5666	11	18	control	control	NOUN
easat-5666	11	19	group	group	NOUN
easat-5666	11	20	)	)	PUNCT
easat-5666	11	21	rats	rat	NOUN
easat-5666	11	22	were	be	AUX
easat-5666	11	23	selected	select	VERB
easat-5666	11	24	,	,	PUNCT
easat-5666	11	25	ensuring	ensure	VERB
easat-5666	11	26	a	a	DET
easat-5666	11	27	meaningful	meaningful	ADJ
easat-5666	11	28	and	and	CCONJ
easat-5666	11	29	appropriate	appropriate	ADJ
easat-5666	11	30	sample	sample	NOUN
easat-5666	11	31	size	size	NOUN
easat-5666	11	32	for	for	ADP
easat-5666	11	33	veterinary	veterinary	ADJ
easat-5666	11	34	research	research	NOUN
easat-5666	11	35	.	.	PUNCT
easat-5666	12	1	specific	specific	ADJ
easat-5666	12	2	blood	blood	NOUN
easat-5666	12	3	test	test	NOUN
easat-5666	12	4	parameters	parameter	NOUN
easat-5666	12	5	of	of	ADP
easat-5666	12	6	these	these	DET
easat-5666	12	7	subjects	subject	NOUN
easat-5666	12	8	were	be	AUX
easat-5666	12	9	analyzed	analyze	VERB
easat-5666	12	10	.	.	PUNCT
easat-5666	13	1	these	these	DET
easat-5666	13	2	parameters	parameter	NOUN
easat-5666	13	3	were	be	AUX
easat-5666	13	4	compiled	compile	VERB
easat-5666	13	5	into	into	ADP
easat-5666	13	6	a	a	DET
easat-5666	13	7	data	data	NOUN
easat-5666	13	8	form	form	NOUN
easat-5666	13	9	and	and	CCONJ
easat-5666	13	10	subjected	subject	VERB
easat-5666	13	11	to	to	ADP
easat-5666	13	12	machine	machine	NOUN
easat-5666	13	13	learning	learning	NOUN
easat-5666	13	14	-	-	PUNCT
easat-5666	13	15	based	base	VERB
easat-5666	13	16	prediction	prediction	NOUN
easat-5666	13	17	and	and	CCONJ
easat-5666	13	18	interpretation	interpretation	NOUN
easat-5666	13	19	.	.	PUNCT
easat-5666	14	1	the	the	DET
easat-5666	14	2	machine	machine	NOUN
easat-5666	14	3	learning	learn	VERB
easat-5666	14	4	methods	method	NOUN
easat-5666	14	5	used	use	VERB
easat-5666	14	6	in	in	ADP
easat-5666	14	7	this	this	DET
easat-5666	14	8	study	study	NOUN
easat-5666	14	9	included	include	VERB
easat-5666	14	10	k	k	ADJ
easat-5666	14	11	-	-	PUNCT
easat-5666	14	12	nearest	near	ADJ
easat-5666	14	13	neighbors	neighbor	NOUN
easat-5666	14	14	(	(	PUNCT
easat-5666	14	15	k	k	X
easat-5666	14	16	-	-	PUNCT
easat-5666	14	17	nn	nn	NOUN
easat-5666	14	18	)	)	PUNCT
easat-5666	14	19	,	,	PUNCT
easat-5666	14	20	support	support	NOUN
easat-5666	14	21	vector	vector	NOUN
easat-5666	14	22	machine	machine	NOUN
easat-5666	14	23	(	(	PUNCT
easat-5666	14	24	svm	svm	PROPN
easat-5666	14	25	)	)	PUNCT
easat-5666	14	26	,	,	PUNCT
easat-5666	14	27	and	and	CCONJ
easat-5666	14	28	random	random	ADJ
easat-5666	14	29	forest	forest	NOUN
easat-5666	14	30	algorithms	algorithm	NOUN
easat-5666	14	31	.	.	PUNCT
easat-5666	15	1	performance	performance	NOUN
easat-5666	15	2	analyses	analysis	NOUN
easat-5666	15	3	were	be	AUX
easat-5666	15	4	conducted	conduct	VERB
easat-5666	15	5	for	for	ADP
easat-5666	15	6	each	each	DET
easat-5666	15	7	method	method	NOUN
easat-5666	15	8	based	base	VERB
easat-5666	15	9	on	on	ADP
easat-5666	15	10	the	the	DET
easat-5666	15	11	obtained	obtain	VERB
easat-5666	15	12	results	result	NOUN
easat-5666	15	13	.	.	PUNCT
easat-5666	16	1	the	the	DET
easat-5666	16	2	highest	high	ADJ
easat-5666	16	3	accuracy	accuracy	NOUN
easat-5666	16	4	rate	rate	NOUN
easat-5666	16	5	was	be	AUX
easat-5666	16	6	achieved	achieve	VERB
easat-5666	16	7	with	with	ADP
easat-5666	16	8	the	the	DET
easat-5666	16	9	random	random	ADJ
easat-5666	16	10	forest	forest	NOUN
easat-5666	16	11	algorithm	algorithm	NOUN
easat-5666	16	12	,	,	PUNCT
easat-5666	16	13	reaching	reach	VERB
easat-5666	16	14	approximately	approximately	ADV
easat-5666	16	15	97.4	97.4	NUM
easat-5666	16	16	%	%	NOUN
easat-5666	16	17	.	.	PUNCT
easat-5666	17	1	the	the	DET
easat-5666	17	2	accuracy	accuracy	NOUN
easat-5666	17	3	rates	rate	NOUN
easat-5666	17	4	obtained	obtain	VERB
easat-5666	17	5	with	with	ADP
easat-5666	17	6	other	other	ADJ
easat-5666	17	7	models	model	NOUN
easat-5666	17	8	were	be	AUX
easat-5666	17	9	also	also	ADV
easat-5666	17	10	significant	significant	ADJ
easat-5666	17	11	,	,	PUNCT
easat-5666	17	12	demonstrating	demonstrate	VERB
easat-5666	17	13	that	that	SCONJ
easat-5666	17	14	the	the	DET
easat-5666	17	15	study	study	NOUN
easat-5666	17	16	has	have	VERB
easat-5666	17	17	the	the	DET
easat-5666	17	18	potential	potential	NOUN
easat-5666	17	19	to	to	PART
easat-5666	17	20	be	be	AUX
easat-5666	17	21	further	far	ADV
easat-5666	17	22	developed	develop	VERB
easat-5666	17	23	and	and	CCONJ
easat-5666	17	24	applied	apply	VERB
easat-5666	17	25	to	to	ADP
easat-5666	17	26	other	other	ADJ
easat-5666	17	27	living	live	VERB
easat-5666	17	28	beings	being	NOUN
easat-5666	17	29	,	,	PUNCT
easat-5666	17	30	including	include	VERB
easat-5666	17	31	humans	human	NOUN
easat-5666	17	32	.	.	PUNCT
easat-5666	18	1	keywords	keyword	NOUN
easat-5666	18	2	:	:	PUNCT
easat-5666	18	3	computer	computer	NOUN
easat-5666	18	4	aided	aid	VERB
easat-5666	18	5	systems	system	NOUN
easat-5666	18	6	,	,	PUNCT
easat-5666	18	7	feature	feature	NOUN
easat-5666	18	8	selection	selection	NOUN
easat-5666	18	9	,	,	PUNCT
easat-5666	18	10	machine	machine	NOUN
easat-5666	18	11	learning	learning	NOUN
easat-5666	18	12	models	model	NOUN
easat-5666	18	13	,	,	PUNCT
easat-5666	18	14	obesity	obesity	NOUN
easat-5666	18	15	,	,	PUNCT
easat-5666	18	16	rats	rat	NOUN
easat-5666	18	17	.	.	PUNCT
easat-5666	19	1	1	1	X
easat-5666	19	2	.	.	X
easat-5666	19	3	introduction	introduction	NOUN
easat-5666	19	4	obesity	obesity	NOUN
easat-5666	19	5	is	be	AUX
easat-5666	19	6	a	a	DET
easat-5666	19	7	growing	grow	VERB
easat-5666	19	8	global	global	ADJ
easat-5666	19	9	health	health	NOUN
easat-5666	19	10	concern	concern	NOUN
easat-5666	19	11	,	,	PUNCT
easat-5666	19	12	affecting	affect	VERB
easat-5666	19	13	both	both	DET
easat-5666	19	14	humans	human	NOUN
easat-5666	19	15	and	and	CCONJ
easat-5666	19	16	animals	animal	NOUN
easat-5666	19	17	[	[	X
easat-5666	19	18	1	1	NUM
easat-5666	19	19	,	,	PUNCT
easat-5666	19	20	2	2	NUM
easat-5666	19	21	]	]	PUNCT
easat-5666	19	22	.	.	PUNCT
easat-5666	20	1	in	in	ADP
easat-5666	20	2	veterinary	veterinary	ADJ
easat-5666	20	3	medicine	medicine	NOUN
easat-5666	20	4	,	,	PUNCT
easat-5666	20	5	early	early	ADJ
easat-5666	20	6	detection	detection	NOUN
easat-5666	20	7	of	of	ADP
easat-5666	20	8	obesity	obesity	NOUN
easat-5666	20	9	in	in	ADP
easat-5666	20	10	animals	animal	NOUN
easat-5666	20	11	,	,	PUNCT
easat-5666	20	12	particularly	particularly	ADV
easat-5666	20	13	in	in	ADP
easat-5666	20	14	laboratory	laboratory	NOUN
easat-5666	20	15	settings	setting	NOUN
easat-5666	20	16	,	,	PUNCT
easat-5666	20	17	is	be	AUX
easat-5666	20	18	crucial	crucial	ADJ
easat-5666	20	19	for	for	ADP
easat-5666	20	20	understanding	understand	VERB
easat-5666	20	21	metabolic	metabolic	NOUN
easat-5666	20	22	disorders	disorder	NOUN
easat-5666	20	23	and	and	CCONJ
easat-5666	20	24	developing	develop	VERB
easat-5666	20	25	preventive	preventive	ADJ
easat-5666	20	26	strategies	strategy	NOUN
easat-5666	20	27	[	[	X
easat-5666	20	28	3	3	NUM
easat-5666	20	29	,	,	PUNCT
easat-5666	20	30	4	4	NUM
easat-5666	20	31	]	]	PUNCT
easat-5666	20	32	.	.	PUNCT
easat-5666	21	1	traditional	traditional	ADJ
easat-5666	21	2	diagnostic	diagnostic	ADJ
easat-5666	21	3	methods	method	NOUN
easat-5666	21	4	often	often	ADV
easat-5666	21	5	rely	rely	VERB
easat-5666	21	6	on	on	ADP
easat-5666	21	7	physical	physical	ADJ
easat-5666	21	8	examinations	examination	NOUN
easat-5666	21	9	and	and	CCONJ
easat-5666	21	10	body	body	NOUN
easat-5666	21	11	weight	weight	NOUN
easat-5666	21	12	measurements	measurement	NOUN
easat-5666	21	13	,	,	PUNCT
easat-5666	21	14	which	which	PRON
easat-5666	21	15	may	may	AUX
easat-5666	21	16	not	not	PART
easat-5666	21	17	provide	provide	VERB
easat-5666	21	18	comprehensive	comprehensive	ADJ
easat-5666	21	19	insights	insight	NOUN
easat-5666	21	20	into	into	ADP
easat-5666	21	21	obesity	obesity	NOUN
easat-5666	21	22	-	-	PUNCT
easat-5666	21	23	related	relate	VERB
easat-5666	21	24	metabolic	metabolic	NOUN
easat-5666	21	25	changes	change	NOUN
easat-5666	21	26	.	.	PUNCT
easat-5666	22	1	with	with	ADP
easat-5666	22	2	the	the	DET
easat-5666	22	3	advancements	advancement	NOUN
easat-5666	22	4	in	in	ADP
easat-5666	22	5	artificial	artificial	ADJ
easat-5666	22	6	intelligence	intelligence	NOUN
easat-5666	22	7	(	(	PUNCT
easat-5666	22	8	ai	ai	NOUN
easat-5666	22	9	)	)	PUNCT
easat-5666	22	10	and	and	CCONJ
easat-5666	22	11	machine	machine	NOUN
easat-5666	22	12	learning	learning	NOUN
easat-5666	22	13	(	(	PUNCT
easat-5666	22	14	ml	ml	NOUN
easat-5666	22	15	)	)	PUNCT
easat-5666	22	16	,	,	PUNCT
easat-5666	22	17	data	data	NOUN
easat-5666	22	18	-	-	PUNCT
easat-5666	22	19	driven	drive	VERB
easat-5666	22	20	approaches	approach	NOUN
easat-5666	22	21	have	have	AUX
easat-5666	22	22	gained	gain	VERB
easat-5666	22	23	prominence	prominence	NOUN
easat-5666	22	24	in	in	ADP
easat-5666	22	25	medical	medical	ADJ
easat-5666	22	26	and	and	CCONJ
easat-5666	22	27	veterinary	veterinary	ADJ
easat-5666	22	28	research	research	NOUN
easat-5666	22	29	[	[	X
easat-5666	22	30	5	5	NUM
easat-5666	22	31	,	,	PUNCT
easat-5666	22	32	6	6	NUM
easat-5666	22	33	]	]	PUNCT
easat-5666	22	34	.	.	PUNCT
easat-5666	23	1	these	these	DET
easat-5666	23	2	methods	method	NOUN
easat-5666	23	3	enable	enable	VERB
easat-5666	23	4	precise	precise	ADJ
easat-5666	23	5	analysis	analysis	NOUN
easat-5666	23	6	of	of	ADP
easat-5666	23	7	biological	biological	ADJ
easat-5666	23	8	markers	marker	NOUN
easat-5666	23	9	,	,	PUNCT
easat-5666	23	10	offering	offer	VERB
easat-5666	23	11	improved	improve	VERB
easat-5666	23	12	diagnostic	diagnostic	ADJ
easat-5666	23	13	accuracy	accuracy	NOUN
easat-5666	23	14	.	.	PUNCT
easat-5666	24	1	in	in	ADP
easat-5666	24	2	this	this	DET
easat-5666	24	3	study	study	NOUN
easat-5666	24	4	,	,	PUNCT
easat-5666	24	5	we	we	PRON
easat-5666	24	6	propose	propose	VERB
easat-5666	24	7	a	a	DET
easat-5666	24	8	machine	machine	NOUN
easat-5666	24	9	learning	learning	NOUN
easat-5666	24	10	-	-	PUNCT
easat-5666	24	11	based	base	VERB
easat-5666	24	12	approach	approach	NOUN
easat-5666	24	13	for	for	ADP
easat-5666	24	14	detecting	detect	VERB
easat-5666	24	15	obesity	obesity	NOUN
easat-5666	24	16	in	in	ADP
easat-5666	24	17	rats	rat	NOUN
easat-5666	24	18	using	use	VERB
easat-5666	24	19	blood	blood	NOUN
easat-5666	24	20	test	test	NOUN
easat-5666	24	21	parameters	parameter	NOUN
easat-5666	24	22	.	.	PUNCT
easat-5666	25	1	by	by	ADP
easat-5666	25	2	leveraging	leverage	VERB
easat-5666	25	3	different	different	ADJ
easat-5666	25	4	ml	ml	NOUN
easat-5666	25	5	algorithms	algorithm	NOUN
easat-5666	25	6	,	,	PUNCT
easat-5666	25	7	including	include	VERB
easat-5666	25	8	k	k	NOUN
easat-5666	25	9	-	-	PUNCT
easat-5666	25	10	nearest	near	ADJ
easat-5666	25	11	neighbors	neighbor	NOUN
easat-5666	25	12	(	(	PUNCT
easat-5666	25	13	k	k	X
easat-5666	25	14	-	-	PUNCT
easat-5666	25	15	nn	nn	NOUN
easat-5666	25	16	)	)	PUNCT
easat-5666	25	17	,	,	PUNCT
easat-5666	25	18	support	support	NOUN
easat-5666	25	19	vector	vector	NOUN
easat-5666	25	20	machine	machine	NOUN
easat-5666	25	21	(	(	PUNCT
easat-5666	25	22	svm	svm	PROPN
easat-5666	25	23	)	)	PUNCT
easat-5666	25	24	,	,	PUNCT
easat-5666	25	25	and	and	CCONJ
easat-5666	25	26	random	random	ADJ
easat-5666	25	27	forest	forest	NOUN
easat-5666	25	28	,	,	PUNCT
easat-5666	25	29	we	we	PRON
easat-5666	25	30	aim	aim	VERB
easat-5666	25	31	to	to	PART
easat-5666	25	32	develop	develop	VERB
easat-5666	25	33	an	an	DET
easat-5666	25	34	effective	effective	ADJ
easat-5666	25	35	predictive	predictive	ADJ
easat-5666	25	36	model	model	NOUN
easat-5666	25	37	.	.	PUNCT
easat-5666	26	1	according	accord	VERB
easat-5666	26	2	to	to	ADP
easat-5666	26	3	the	the	DET
easat-5666	26	4	literature	literature	NOUN
easat-5666	26	5	analysis	analysis	NOUN
easat-5666	26	6	,	,	PUNCT
easat-5666	26	7	there	there	PRON
easat-5666	26	8	have	have	AUX
easat-5666	26	9	been	be	AUX
easat-5666	26	10	many	many	ADJ
easat-5666	26	11	studies	study	NOUN
easat-5666	26	12	among	among	ADP
easat-5666	26	13	human	human	ADJ
easat-5666	26	14	participants	participant	NOUN
easat-5666	26	15	for	for	ADP
easat-5666	26	16	obesity	obesity	NOUN
easat-5666	26	17	detection	detection	NOUN
easat-5666	26	18	via	via	ADP
easat-5666	26	19	machine	machine	NOUN
easat-5666	26	20	learning	learning	NOUN
easat-5666	26	21	models	model	NOUN
easat-5666	26	22	but	but	CCONJ
easat-5666	26	23	there	there	PRON
easat-5666	26	24	have	have	AUX
easat-5666	26	25	been	be	AUX
easat-5666	26	26	a	a	DET
easat-5666	26	27	limited	limited	ADJ
easat-5666	26	28	series	series	NOUN
easat-5666	26	29	of	of	ADP
easat-5666	26	30	study	study	NOUN
easat-5666	26	31	about	about	ADP
easat-5666	26	32	the	the	DET
easat-5666	26	33	animal	animal	NOUN
easat-5666	26	34	version	version	NOUN
easat-5666	26	35	of	of	ADP
easat-5666	26	36	the	the	DET
easat-5666	26	37	related	relate	VERB
easat-5666	26	38	study	study	NOUN
easat-5666	26	39	,	,	PUNCT
easat-5666	26	40	so	so	CCONJ
easat-5666	26	41	this	this	DET
easat-5666	26	42	study	study	NOUN
easat-5666	26	43	could	could	AUX
easat-5666	26	44	be	be	AUX
easat-5666	26	45	called	call	VERB
easat-5666	26	46	unique	unique	ADJ
easat-5666	26	47	/	/	SYM
easat-5666	26	48	novel	novel	NOUN
easat-5666	26	49	for	for	ADP
easat-5666	26	50	developing	develop	VERB
easat-5666	26	51	an	an	DET
easat-5666	26	52	ai	ai	NOUN
easat-5666	26	53	based	base	VERB
easat-5666	26	54	ml	ml	NOUN
easat-5666	26	55	decision	decision	NOUN
easat-5666	26	56	support	support	NOUN
easat-5666	26	57	system	system	NOUN
easat-5666	26	58	for	for	ADP
easat-5666	26	59	obesity	obesity	NOUN
easat-5666	26	60	discrimination	discrimination	NOUN
easat-5666	26	61	among	among	ADP
easat-5666	26	62	rats	rat	NOUN
easat-5666	26	63	.	.	PUNCT
easat-5666	27	1	the	the	DET
easat-5666	27	2	proposed	propose	VERB
easat-5666	27	3	methodology	methodology	NOUN
easat-5666	27	4	involves	involve	VERB
easat-5666	27	5	collecting	collect	VERB
easat-5666	27	6	blood	blood	NOUN
easat-5666	27	7	samples	sample	NOUN
easat-5666	27	8	from	from	ADP
easat-5666	27	9	obese	obese	ADJ
easat-5666	27	10	and	and	CCONJ
easat-5666	27	11	normal	normal	ADJ
easat-5666	27	12	(	(	PUNCT
easat-5666	27	13	control	control	NOUN
easat-5666	27	14	group	group	NOUN
easat-5666	27	15	)	)	PUNCT
easat-5666	27	16	rats	rat	NOUN
easat-5666	27	17	,	,	PUNCT
easat-5666	27	18	extracting	extract	VERB
easat-5666	27	19	key	key	ADJ
easat-5666	27	20	metabolic	metabolic	NOUN
easat-5666	27	21	parameters	parameter	NOUN
easat-5666	27	22	,	,	PUNCT
easat-5666	27	23	and	and	CCONJ
easat-5666	27	24	utilizing	utilize	VERB
easat-5666	27	25	machine	machine	NOUN
easat-5666	27	26	learning	learning	NOUN
easat-5666	27	27	models	model	NOUN
easat-5666	27	28	to	to	PART
easat-5666	27	29	classify	classify	VERB
easat-5666	27	30	https://orcid.org/0000-0001-5176-9280	https://orcid.org/0000-0001-5176-9280	VERB
easat-5666	27	31	https://orcid.org/0000-0002-0022-9433	https://orcid.org/0000-0002-0022-9433	NOUN
easat-5666	27	32	1666	1666	NUM
easat-5666	27	33	edelweiss	edelweiss	PROPN
easat-5666	27	34	applied	apply	VERB
easat-5666	27	35	science	science	NOUN
easat-5666	27	36	and	and	CCONJ
easat-5666	27	37	technology	technology	NOUN
easat-5666	27	38	issn	issn	PROPN
easat-5666	27	39	:	:	PUNCT
easat-5666	27	40	2576	2576	NUM
easat-5666	27	41	-	-	SYM
easat-5666	27	42	8484	8484	NUM
easat-5666	27	43	vol	vol	NOUN
easat-5666	27	44	.	.	PROPN
easat-5666	28	1	9	9	NUM
easat-5666	28	2	,	,	PUNCT
easat-5666	28	3	no	no	INTJ
easat-5666	28	4	.	.	NOUN
easat-5666	29	1	3	3	NUM
easat-5666	29	2	:	:	PUNCT
easat-5666	29	3	1665	1665	NUM
easat-5666	29	4	-	-	SYM
easat-5666	29	5	1674	1674	NUM
easat-5666	29	6	,	,	PUNCT
easat-5666	29	7	2025	2025	NUM
easat-5666	29	8	doi	doi	NOUN
easat-5666	29	9	:	:	PUNCT
easat-5666	29	10	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	29	11	©	©	NOUN
easat-5666	29	12	2025	2025	NUM
easat-5666	29	13	by	by	ADP
easat-5666	29	14	the	the	DET
easat-5666	29	15	authors	author	NOUN
easat-5666	29	16	;	;	PUNCT
easat-5666	29	17	licensee	licensee	PROPN
easat-5666	29	18	learning	learning	NOUN
easat-5666	29	19	gate	gate	PROPN
easat-5666	29	20	obesity	obesity	NOUN
easat-5666	29	21	status	status	NOUN
easat-5666	29	22	.	.	PUNCT
easat-5666	30	1	performance	performance	NOUN
easat-5666	30	2	evaluations	evaluation	NOUN
easat-5666	30	3	of	of	ADP
easat-5666	30	4	these	these	DET
easat-5666	30	5	models	model	NOUN
easat-5666	30	6	will	will	AUX
easat-5666	30	7	be	be	AUX
easat-5666	30	8	conducted	conduct	VERB
easat-5666	30	9	to	to	PART
easat-5666	30	10	determine	determine	VERB
easat-5666	30	11	the	the	DET
easat-5666	30	12	most	most	ADV
easat-5666	30	13	accurate	accurate	ADJ
easat-5666	30	14	and	and	CCONJ
easat-5666	30	15	reliable	reliable	ADJ
easat-5666	30	16	method	method	NOUN
easat-5666	30	17	for	for	ADP
easat-5666	30	18	obesity	obesity	NOUN
easat-5666	30	19	detection	detection	NOUN
easat-5666	30	20	.	.	PUNCT
easat-5666	31	1	the	the	DET
easat-5666	31	2	findings	finding	NOUN
easat-5666	31	3	of	of	ADP
easat-5666	31	4	this	this	DET
easat-5666	31	5	study	study	NOUN
easat-5666	31	6	can	can	AUX
easat-5666	31	7	contribute	contribute	VERB
easat-5666	31	8	to	to	ADP
easat-5666	31	9	veterinary	veterinary	ADJ
easat-5666	31	10	research	research	NOUN
easat-5666	31	11	and	and	CCONJ
easat-5666	31	12	may	may	AUX
easat-5666	31	13	serve	serve	VERB
easat-5666	31	14	as	as	ADP
easat-5666	31	15	a	a	DET
easat-5666	31	16	foundation	foundation	NOUN
easat-5666	31	17	for	for	ADP
easat-5666	31	18	future	future	ADJ
easat-5666	31	19	applications	application	NOUN
easat-5666	31	20	in	in	ADP
easat-5666	31	21	both	both	CCONJ
easat-5666	31	22	animal	animal	NOUN
easat-5666	31	23	and	and	CCONJ
easat-5666	31	24	human	human	ADJ
easat-5666	31	25	obesity	obesity	NOUN
easat-5666	31	26	studies	study	NOUN
easat-5666	31	27	.	.	PUNCT
easat-5666	32	1	2	2	X
easat-5666	32	2	.	.	X
easat-5666	32	3	materıal	materıal	NOUN
easat-5666	32	4	and	and	CCONJ
easat-5666	32	5	methods	method	NOUN
easat-5666	32	6	this	this	DET
easat-5666	32	7	study	study	NOUN
easat-5666	32	8	was	be	AUX
easat-5666	32	9	conducted	conduct	VERB
easat-5666	32	10	as	as	ADP
easat-5666	32	11	a	a	DET
easat-5666	32	12	retrospective	retrospective	ADJ
easat-5666	32	13	analysis	analysis	NOUN
easat-5666	32	14	using	use	VERB
easat-5666	32	15	blood	blood	NOUN
easat-5666	32	16	test	test	NOUN
easat-5666	32	17	data	datum	NOUN
easat-5666	32	18	from	from	ADP
easat-5666	32	19	the	the	DET
easat-5666	32	20	past	past	ADJ
easat-5666	32	21	five	five	NUM
easat-5666	32	22	years	year	NOUN
easat-5666	32	23	,	,	PUNCT
easat-5666	32	24	obtained	obtain	VERB
easat-5666	32	25	from	from	ADP
easat-5666	32	26	a	a	DET
easat-5666	32	27	publicly	publicly	ADV
easat-5666	32	28	available	available	ADJ
easat-5666	32	29	dataset	dataset	NOUN
easat-5666	32	30	of	of	ADP
easat-5666	32	31	wistar	wistar	PROPN
easat-5666	32	32	rats	rat	NOUN
easat-5666	32	33	[	[	X
easat-5666	32	34	7	7	NUM
easat-5666	32	35	]	]	PUNCT
easat-5666	32	36	.	.	PUNCT
easat-5666	33	1	since	since	SCONJ
easat-5666	33	2	the	the	DET
easat-5666	33	3	data	datum	NOUN
easat-5666	33	4	was	be	AUX
easat-5666	33	5	openly	openly	ADV
easat-5666	33	6	accessible	accessible	ADJ
easat-5666	33	7	,	,	PUNCT
easat-5666	33	8	no	no	DET
easat-5666	33	9	ethical	ethical	ADJ
easat-5666	33	10	approvals	approval	NOUN
easat-5666	33	11	were	be	AUX
easat-5666	33	12	required	require	VERB
easat-5666	33	13	.	.	PUNCT
easat-5666	34	1	prior	prior	ADV
easat-5666	34	2	to	to	ADP
easat-5666	34	3	utilization	utilization	NOUN
easat-5666	34	4	,	,	PUNCT
easat-5666	34	5	the	the	DET
easat-5666	34	6	dataset	dataset	NOUN
easat-5666	34	7	was	be	AUX
easat-5666	34	8	anonymized	anonymize	VERB
easat-5666	34	9	to	to	PART
easat-5666	34	10	ensure	ensure	VERB
easat-5666	34	11	privacy	privacy	NOUN
easat-5666	34	12	.	.	PUNCT
easat-5666	35	1	following	follow	VERB
easat-5666	35	2	this	this	PRON
easat-5666	35	3	,	,	PUNCT
easat-5666	35	4	essential	essential	ADJ
easat-5666	35	5	preprocessing	preprocessing	NOUN
easat-5666	35	6	steps	step	NOUN
easat-5666	35	7	were	be	AUX
easat-5666	35	8	carried	carry	VERB
easat-5666	35	9	out	out	ADP
easat-5666	35	10	,	,	PUNCT
easat-5666	35	11	including	include	VERB
easat-5666	35	12	noise	noise	NOUN
easat-5666	35	13	removal	removal	NOUN
easat-5666	35	14	,	,	PUNCT
easat-5666	35	15	normalization	normalization	NOUN
easat-5666	35	16	,	,	PUNCT
easat-5666	35	17	and	and	CCONJ
easat-5666	35	18	extraction	extraction	NOUN
easat-5666	35	19	of	of	ADP
easat-5666	35	20	relevant	relevant	ADJ
easat-5666	35	21	features	feature	NOUN
easat-5666	35	22	.	.	PUNCT
easat-5666	36	1	finally	finally	ADV
easat-5666	36	2	,	,	PUNCT
easat-5666	36	3	the	the	DET
easat-5666	36	4	dataset	dataset	NOUN
easat-5666	36	5	was	be	AUX
easat-5666	36	6	split	split	VERB
easat-5666	36	7	into	into	ADP
easat-5666	36	8	designated	designate	VERB
easat-5666	36	9	training	training	NOUN
easat-5666	36	10	and	and	CCONJ
easat-5666	36	11	test	test	NOUN
easat-5666	36	12	sets	set	NOUN
easat-5666	36	13	,	,	PUNCT
easat-5666	36	14	following	follow	VERB
easat-5666	36	15	a	a	DET
easat-5666	36	16	70:30	70:30	NUM
easat-5666	36	17	ratio	ratio	NOUN
easat-5666	36	18	.	.	PUNCT
easat-5666	37	1	2.1	2.1	NUM
easat-5666	37	2	.	.	PUNCT
easat-5666	37	3	dataset	dataset	NOUN
easat-5666	37	4	used	use	VERB
easat-5666	37	5	in	in	ADP
easat-5666	37	6	the	the	DET
easat-5666	37	7	study	study	NOUN
easat-5666	37	8	detailed	detailed	ADJ
easat-5666	37	9	representation	representation	NOUN
easat-5666	37	10	of	of	ADP
easat-5666	37	11	our	our	PRON
easat-5666	37	12	dataset	dataset	NOUN
easat-5666	37	13	was	be	AUX
easat-5666	37	14	given	give	VERB
easat-5666	37	15	below	below	ADV
easat-5666	37	16	with	with	ADP
easat-5666	37	17	featuring	feature	VERB
easat-5666	37	18	totally	totally	ADV
easat-5666	37	19	10	10	NUM
easat-5666	37	20	obese	obese	ADJ
easat-5666	37	21	and	and	CCONJ
easat-5666	37	22	10	10	NUM
easat-5666	37	23	normal	normal	ADJ
easat-5666	37	24	data	datum	NOUN
easat-5666	37	25	for	for	ADP
easat-5666	37	26	participants	participant	NOUN
easat-5666	37	27	with	with	ADP
easat-5666	37	28	different	different	ADJ
easat-5666	37	29	overweight	overweight	ADJ
easat-5666	37	30	statuses	status	NOUN
easat-5666	37	31	via	via	ADP
easat-5666	37	32	11	11	NUM
easat-5666	37	33	different	different	ADJ
easat-5666	37	34	features	feature	NOUN
easat-5666	37	35	and	and	CCONJ
easat-5666	37	36	these	these	DET
easat-5666	37	37	data	datum	NOUN
easat-5666	37	38	were	be	AUX
easat-5666	37	39	compared	compare	VERB
easat-5666	37	40	with	with	ADP
easat-5666	37	41	the	the	DET
easat-5666	37	42	non	non	ADJ
easat-5666	37	43	-	-	ADJ
easat-5666	37	44	obese	obese	ADJ
easat-5666	37	45	healthy	healthy	ADJ
easat-5666	37	46	reference	reference	NOUN
easat-5666	37	47	value	value	NOUN
easat-5666	37	48	range	range	NOUN
easat-5666	37	49	metrics	metric	NOUN
easat-5666	37	50	.	.	PUNCT
easat-5666	38	1	the	the	DET
easat-5666	38	2	features	feature	NOUN
easat-5666	38	3	used	use	VERB
easat-5666	38	4	in	in	ADP
easat-5666	38	5	this	this	DET
easat-5666	38	6	study	study	NOUN
easat-5666	38	7	was	be	AUX
easat-5666	38	8	explained	explain	VERB
easat-5666	38	9	below	below	ADV
easat-5666	38	10	.	.	PUNCT
easat-5666	39	1	•	•	NUM
easat-5666	39	2	cholesterol	cholesterol	NOUN
easat-5666	39	3	:	:	PUNCT
easat-5666	39	4	cholesterol	cholesterol	NOUN
easat-5666	39	5	is	be	AUX
easat-5666	39	6	a	a	DET
easat-5666	39	7	waxy	waxy	NOUN
easat-5666	39	8	,	,	PUNCT
easat-5666	39	9	fat	fat	ADJ
easat-5666	39	10	-	-	PUNCT
easat-5666	39	11	like	like	ADJ
easat-5666	39	12	substance	substance	NOUN
easat-5666	39	13	found	find	VERB
easat-5666	39	14	in	in	ADP
easat-5666	39	15	the	the	DET
easat-5666	39	16	blood	blood	NOUN
easat-5666	39	17	and	and	CCONJ
easat-5666	39	18	produced	produce	VERB
easat-5666	39	19	by	by	ADP
easat-5666	39	20	the	the	DET
easat-5666	39	21	liver	liver	NOUN
easat-5666	39	22	.	.	PUNCT
easat-5666	40	1	it	it	PRON
easat-5666	40	2	is	be	AUX
easat-5666	40	3	essential	essential	ADJ
easat-5666	40	4	for	for	ADP
easat-5666	40	5	building	build	VERB
easat-5666	40	6	cell	cell	NOUN
easat-5666	40	7	membranes	membrane	NOUN
easat-5666	40	8	,	,	PUNCT
easat-5666	40	9	producing	produce	VERB
easat-5666	40	10	hormones	hormone	NOUN
easat-5666	40	11	(	(	PUNCT
easat-5666	40	12	such	such	ADJ
easat-5666	40	13	as	as	ADP
easat-5666	40	14	estrogen	estrogen	NOUN
easat-5666	40	15	and	and	CCONJ
easat-5666	40	16	testosterone	testosterone	NOUN
easat-5666	40	17	)	)	PUNCT
easat-5666	40	18	,	,	PUNCT
easat-5666	40	19	and	and	CCONJ
easat-5666	40	20	synthesizing	synthesize	VERB
easat-5666	40	21	vitamin	vitamin	NOUN
easat-5666	40	22	d.	d.	NOUN
easat-5666	40	23	•	•	NOUN
easat-5666	40	24	triglycerides	triglyceride	NOUN
easat-5666	40	25	:	:	PUNCT
easat-5666	40	26	triglycerides	triglyceride	NOUN
easat-5666	40	27	are	be	AUX
easat-5666	40	28	often	often	ADV
easat-5666	40	29	a	a	DET
easat-5666	40	30	type	type	NOUN
easat-5666	40	31	of	of	ADP
easat-5666	40	32	lipid	lipid	NOUN
easat-5666	40	33	,	,	PUNCT
easat-5666	40	34	separate	separate	ADJ
easat-5666	40	35	from	from	ADP
easat-5666	40	36	cholesterol	cholesterol	NOUN
easat-5666	40	37	.	.	PUNCT
easat-5666	41	1	•	•	NUM
easat-5666	41	2	ldl	ldl	NOUN
easat-5666	41	3	cholesterol	cholesterol	NOUN
easat-5666	41	4	:	:	PUNCT
easat-5666	41	5	low	low	ADJ
easat-5666	41	6	-	-	PUNCT
easat-5666	41	7	density	density	NOUN
easat-5666	41	8	lipoprotein	lipoprotein	ADJ
easat-5666	41	9	(	(	PUNCT
easat-5666	41	10	ldl	ldl	NOUN
easat-5666	41	11	)	)	PUNCT
easat-5666	41	12	cholesterol	cholesterol	NOUN
easat-5666	41	13	,	,	PUNCT
easat-5666	41	14	often	often	ADV
easat-5666	41	15	called	call	VERB
easat-5666	41	16	"	"	PUNCT
easat-5666	41	17	bad	bad	ADJ
easat-5666	41	18	cholesterol	cholesterol	NOUN
easat-5666	41	19	,	,	PUNCT
easat-5666	41	20	"	"	PUNCT
easat-5666	41	21	is	be	AUX
easat-5666	41	22	a	a	DET
easat-5666	41	23	type	type	NOUN
easat-5666	41	24	of	of	ADP
easat-5666	41	25	lipoprotein	lipoprotein	NOUN
easat-5666	41	26	that	that	PRON
easat-5666	41	27	carries	carry	VERB
easat-5666	41	28	cholesterol	cholesterol	NOUN
easat-5666	41	29	from	from	ADP
easat-5666	41	30	the	the	DET
easat-5666	41	31	liver	liver	NOUN
easat-5666	41	32	to	to	ADP
easat-5666	41	33	the	the	DET
easat-5666	41	34	cells	cell	NOUN
easat-5666	41	35	.	.	PUNCT
easat-5666	42	1	if	if	SCONJ
easat-5666	42	2	too	too	ADV
easat-5666	42	3	much	much	ADJ
easat-5666	42	4	ldl	ldl	NOUN
easat-5666	42	5	cholesterol	cholesterol	NOUN
easat-5666	42	6	circulates	circulate	NOUN
easat-5666	42	7	in	in	ADP
easat-5666	42	8	the	the	DET
easat-5666	42	9	blood	blood	NOUN
easat-5666	42	10	,	,	PUNCT
easat-5666	42	11	it	it	PRON
easat-5666	42	12	can	can	AUX
easat-5666	42	13	deposit	deposit	VERB
easat-5666	42	14	in	in	ADP
easat-5666	42	15	the	the	DET
easat-5666	42	16	walls	wall	NOUN
easat-5666	42	17	of	of	ADP
easat-5666	42	18	arteries	artery	NOUN
easat-5666	42	19	,	,	PUNCT
easat-5666	42	20	leading	lead	VERB
easat-5666	42	21	to	to	ADP
easat-5666	42	22	plaque	plaque	NOUN
easat-5666	42	23	buildup	buildup	NOUN
easat-5666	42	24	,	,	PUNCT
easat-5666	42	25	narrowing	narrow	VERB
easat-5666	42	26	of	of	ADP
easat-5666	42	27	the	the	DET
easat-5666	42	28	arteries	artery	NOUN
easat-5666	42	29	(	(	PUNCT
easat-5666	42	30	atherosclerosis	atherosclerosis	NOUN
easat-5666	42	31	)	)	PUNCT
easat-5666	42	32	,	,	PUNCT
easat-5666	42	33	and	and	CCONJ
easat-5666	42	34	an	an	DET
easat-5666	42	35	increased	increase	VERB
easat-5666	42	36	risk	risk	NOUN
easat-5666	42	37	of	of	ADP
easat-5666	42	38	heart	heart	NOUN
easat-5666	42	39	disease	disease	NOUN
easat-5666	42	40	and	and	CCONJ
easat-5666	42	41	stroke	stroke	NOUN
easat-5666	42	42	.	.	PUNCT
easat-5666	43	1	•	•	NUM
easat-5666	43	2	hdl	hdl	PROPN
easat-5666	43	3	cholesterol	cholesterol	PROPN
easat-5666	43	4	:	:	PUNCT
easat-5666	43	5	high	high	ADJ
easat-5666	43	6	-	-	PUNCT
easat-5666	43	7	density	density	NOUN
easat-5666	43	8	lipoprotein	lipoprotein	ADJ
easat-5666	43	9	(	(	PUNCT
easat-5666	43	10	hdl	hdl	NOUN
easat-5666	43	11	)	)	PUNCT
easat-5666	43	12	cholesterol	cholesterol	NOUN
easat-5666	43	13	,	,	PUNCT
easat-5666	43	14	often	often	ADV
easat-5666	43	15	called	call	VERB
easat-5666	43	16	"	"	PUNCT
easat-5666	43	17	good	good	ADJ
easat-5666	43	18	cholesterol	cholesterol	NOUN
easat-5666	43	19	,	,	PUNCT
easat-5666	43	20	"	"	PUNCT
easat-5666	43	21	is	be	AUX
easat-5666	43	22	a	a	DET
easat-5666	43	23	type	type	NOUN
easat-5666	43	24	of	of	ADP
easat-5666	43	25	lipoprotein	lipoprotein	NOUN
easat-5666	43	26	that	that	PRON
easat-5666	43	27	helps	help	VERB
easat-5666	43	28	remove	remove	VERB
easat-5666	43	29	excess	excess	ADJ
easat-5666	43	30	cholesterol	cholesterol	NOUN
easat-5666	43	31	from	from	ADP
easat-5666	43	32	the	the	DET
easat-5666	43	33	bloodstream	bloodstream	NOUN
easat-5666	43	34	by	by	ADP
easat-5666	43	35	transporting	transport	VERB
easat-5666	43	36	it	it	PRON
easat-5666	43	37	to	to	ADP
easat-5666	43	38	the	the	DET
easat-5666	43	39	liver	liver	NOUN
easat-5666	43	40	for	for	ADP
easat-5666	43	41	excretion	excretion	NOUN
easat-5666	43	42	.	.	PUNCT
easat-5666	44	1	higher	high	ADJ
easat-5666	44	2	levels	level	NOUN
easat-5666	44	3	of	of	ADP
easat-5666	44	4	hdl	hdl	PROPN
easat-5666	44	5	cholesterol	cholesterol	PROPN
easat-5666	44	6	are	be	AUX
easat-5666	44	7	associated	associate	VERB
easat-5666	44	8	with	with	ADP
easat-5666	44	9	a	a	DET
easat-5666	44	10	lower	low	ADJ
easat-5666	44	11	risk	risk	NOUN
easat-5666	44	12	of	of	ADP
easat-5666	44	13	heart	heart	NOUN
easat-5666	44	14	disease	disease	NOUN
easat-5666	44	15	and	and	CCONJ
easat-5666	44	16	stroke	stroke	NOUN
easat-5666	44	17	because	because	SCONJ
easat-5666	44	18	it	it	PRON
easat-5666	44	19	helps	help	VERB
easat-5666	44	20	prevent	prevent	VERB
easat-5666	44	21	plaque	plaque	NOUN
easat-5666	44	22	buildup	buildup	NOUN
easat-5666	44	23	in	in	ADP
easat-5666	44	24	the	the	DET
easat-5666	44	25	arteries	artery	NOUN
easat-5666	44	26	.	.	PUNCT
easat-5666	45	1	•	•	NUM
easat-5666	45	2	vldl	vldl	NOUN
easat-5666	45	3	cholosterol	cholosterol	PROPN
easat-5666	45	4	:	:	PUNCT
easat-5666	45	5	very	very	ADV
easat-5666	45	6	-	-	PUNCT
easat-5666	45	7	low	low	ADJ
easat-5666	45	8	-	-	PUNCT
easat-5666	45	9	density	density	NOUN
easat-5666	45	10	lipoprotein	lipoprotein	ADJ
easat-5666	45	11	(	(	PUNCT
easat-5666	45	12	vldl	vldl	NOUN
easat-5666	45	13	)	)	PUNCT
easat-5666	45	14	cholesterol	cholesterol	NOUN
easat-5666	45	15	is	be	AUX
easat-5666	45	16	a	a	DET
easat-5666	45	17	type	type	NOUN
easat-5666	45	18	of	of	ADP
easat-5666	45	19	lipoprotein	lipoprotein	NOUN
easat-5666	45	20	responsible	responsible	ADJ
easat-5666	45	21	for	for	ADP
easat-5666	45	22	transporting	transport	VERB
easat-5666	45	23	triglycerides	triglyceride	NOUN
easat-5666	45	24	from	from	ADP
easat-5666	45	25	the	the	DET
easat-5666	45	26	liver	liver	NOUN
easat-5666	45	27	to	to	ADP
easat-5666	45	28	various	various	ADJ
easat-5666	45	29	tissues	tissue	NOUN
easat-5666	45	30	throughout	throughout	ADP
easat-5666	45	31	the	the	DET
easat-5666	45	32	body	body	NOUN
easat-5666	45	33	.	.	PUNCT
easat-5666	46	1	it	it	PRON
easat-5666	46	2	plays	play	VERB
easat-5666	46	3	a	a	DET
easat-5666	46	4	crucial	crucial	ADJ
easat-5666	46	5	role	role	NOUN
easat-5666	46	6	in	in	ADP
easat-5666	46	7	lipid	lipid	ADJ
easat-5666	46	8	metabolism	metabolism	NOUN
easat-5666	46	9	,	,	PUNCT
easat-5666	46	10	acting	act	VERB
easat-5666	46	11	as	as	ADP
easat-5666	46	12	a	a	DET
easat-5666	46	13	carrier	carrier	NOUN
easat-5666	46	14	of	of	ADP
easat-5666	46	15	fats	fat	NOUN
easat-5666	46	16	that	that	PRON
easat-5666	46	17	provide	provide	VERB
easat-5666	46	18	energy	energy	NOUN
easat-5666	46	19	or	or	CCONJ
easat-5666	46	20	are	be	AUX
easat-5666	46	21	stored	store	VERB
easat-5666	46	22	for	for	ADP
easat-5666	46	23	future	future	ADJ
easat-5666	46	24	use	use	NOUN
easat-5666	46	25	.	.	PUNCT
easat-5666	47	1	vldl	vldl	PROPN
easat-5666	47	2	is	be	AUX
easat-5666	47	3	produced	produce	VERB
easat-5666	47	4	by	by	ADP
easat-5666	47	5	the	the	DET
easat-5666	47	6	liver	liver	NOUN
easat-5666	47	7	and	and	CCONJ
easat-5666	47	8	contains	contain	VERB
easat-5666	47	9	a	a	DET
easat-5666	47	10	high	high	ADJ
easat-5666	47	11	proportion	proportion	NOUN
easat-5666	47	12	of	of	ADP
easat-5666	47	13	triglycerides	triglyceride	NOUN
easat-5666	47	14	relative	relative	ADJ
easat-5666	47	15	to	to	ADP
easat-5666	47	16	its	its	PRON
easat-5666	47	17	protein	protein	NOUN
easat-5666	47	18	content	content	NOUN
easat-5666	47	19	,	,	PUNCT
easat-5666	47	20	making	make	VERB
easat-5666	47	21	it	it	PRON
easat-5666	47	22	one	one	NUM
easat-5666	47	23	of	of	ADP
easat-5666	47	24	the	the	DET
easat-5666	47	25	primary	primary	ADJ
easat-5666	47	26	contributors	contributor	NOUN
easat-5666	47	27	to	to	PART
easat-5666	47	28	circulating	circulate	VERB
easat-5666	47	29	fat	fat	NOUN
easat-5666	47	30	in	in	ADP
easat-5666	47	31	the	the	DET
easat-5666	47	32	bloodstream	bloodstream	NOUN
easat-5666	47	33	.	.	PUNCT
easat-5666	48	1	•	•	NOUN
easat-5666	48	2	glucose	glucose	NOUN
easat-5666	48	3	:	:	PUNCT
easat-5666	48	4	glucose	glucose	NOUN
easat-5666	48	5	is	be	AUX
easat-5666	48	6	the	the	DET
easat-5666	48	7	body	body	NOUN
easat-5666	48	8	’s	’s	PART
easat-5666	48	9	primary	primary	ADJ
easat-5666	48	10	energy	energy	NOUN
easat-5666	48	11	source	source	NOUN
easat-5666	48	12	,	,	PUNCT
easat-5666	48	13	with	with	ADP
easat-5666	48	14	higher	high	ADJ
easat-5666	48	15	amounts	amount	NOUN
easat-5666	48	16	stored	store	VERB
easat-5666	48	17	as	as	ADP
easat-5666	48	18	glycogen	glycogen	NOUN
easat-5666	48	19	in	in	ADP
easat-5666	48	20	the	the	DET
easat-5666	48	21	muscles	muscle	NOUN
easat-5666	48	22	and	and	CCONJ
easat-5666	48	23	liver	liver	NOUN
easat-5666	48	24	.	.	PUNCT
easat-5666	49	1	•	•	NUM
easat-5666	49	2	weight	weight	NOUN
easat-5666	49	3	:	:	PUNCT
easat-5666	49	4	body	body	NOUN
easat-5666	49	5	weight	weight	NOUN
easat-5666	49	6	is	be	AUX
easat-5666	49	7	a	a	DET
easat-5666	49	8	fundamental	fundamental	ADJ
easat-5666	49	9	parameter	parameter	NOUN
easat-5666	49	10	in	in	ADP
easat-5666	49	11	biological	biological	ADJ
easat-5666	49	12	and	and	CCONJ
easat-5666	49	13	medical	medical	ADJ
easat-5666	49	14	research	research	NOUN
easat-5666	49	15	involving	involve	VERB
easat-5666	49	16	rats	rat	NOUN
easat-5666	49	17	,	,	PUNCT
easat-5666	49	18	serving	serve	VERB
easat-5666	49	19	as	as	ADP
easat-5666	49	20	a	a	DET
easat-5666	49	21	critical	critical	ADJ
easat-5666	49	22	indicator	indicator	NOUN
easat-5666	49	23	of	of	ADP
easat-5666	49	24	overall	overall	ADJ
easat-5666	49	25	health	health	NOUN
easat-5666	49	26	,	,	PUNCT
easat-5666	49	27	metabolic	metabolic	NOUN
easat-5666	49	28	status	status	NOUN
easat-5666	49	29	,	,	PUNCT
easat-5666	49	30	and	and	CCONJ
easat-5666	49	31	physiological	physiological	ADJ
easat-5666	49	32	changes	change	NOUN
easat-5666	49	33	.	.	PUNCT
easat-5666	50	1	in	in	ADP
easat-5666	50	2	scientific	scientific	ADJ
easat-5666	50	3	studies	study	NOUN
easat-5666	50	4	,	,	PUNCT
easat-5666	50	5	monitoring	monitor	VERB
easat-5666	50	6	rat	rat	NOUN
easat-5666	50	7	weight	weight	NOUN
easat-5666	50	8	is	be	AUX
easat-5666	50	9	essential	essential	ADJ
easat-5666	50	10	for	for	ADP
easat-5666	50	11	evaluating	evaluate	VERB
easat-5666	50	12	the	the	DET
easat-5666	50	13	effects	effect	NOUN
easat-5666	50	14	of	of	ADP
easat-5666	50	15	diet	diet	NOUN
easat-5666	50	16	,	,	PUNCT
easat-5666	50	17	disease	disease	NOUN
easat-5666	50	18	progression	progression	NOUN
easat-5666	50	19	,	,	PUNCT
easat-5666	50	20	drug	drug	NOUN
easat-5666	50	21	efficacy	efficacy	NOUN
easat-5666	50	22	,	,	PUNCT
easat-5666	50	23	and	and	CCONJ
easat-5666	50	24	environmental	environmental	ADJ
easat-5666	50	25	factors	factor	NOUN
easat-5666	50	26	on	on	ADP
easat-5666	50	27	health	health	NOUN
easat-5666	50	28	.	.	PUNCT
easat-5666	51	1	changes	change	NOUN
easat-5666	51	2	in	in	ADP
easat-5666	51	3	weight	weight	NOUN
easat-5666	51	4	can	can	AUX
easat-5666	51	5	signal	signal	VERB
easat-5666	51	6	underlying	underlying	ADJ
easat-5666	51	7	conditions	condition	NOUN
easat-5666	51	8	such	such	ADJ
easat-5666	51	9	as	as	ADP
easat-5666	51	10	obesity	obesity	NOUN
easat-5666	51	11	,	,	PUNCT
easat-5666	51	12	malnutrition	malnutrition	NOUN
easat-5666	51	13	,	,	PUNCT
easat-5666	51	14	or	or	CCONJ
easat-5666	51	15	metabolic	metabolic	NOUN
easat-5666	51	16	disorders	disorder	NOUN
easat-5666	51	17	,	,	PUNCT
easat-5666	51	18	making	make	VERB
easat-5666	51	19	it	it	PRON
easat-5666	51	20	a	a	DET
easat-5666	51	21	valuable	valuable	ADJ
easat-5666	51	22	metric	metric	NOUN
easat-5666	51	23	in	in	ADP
easat-5666	51	24	experimental	experimental	ADJ
easat-5666	51	25	research	research	NOUN
easat-5666	51	26	.	.	PUNCT
easat-5666	52	1	•	•	NUM
easat-5666	52	2	total	total	ADJ
easat-5666	52	3	antioxidant	antioxidant	ADJ
easat-5666	52	4	status	status	NOUN
easat-5666	52	5	(	(	PUNCT
easat-5666	52	6	tas	tas	NOUN
easat-5666	52	7	):	):	PUNCT
easat-5666	52	8	total	total	ADJ
easat-5666	52	9	antioxidant	antioxidant	ADJ
easat-5666	52	10	status	status	NOUN
easat-5666	52	11	(	(	PUNCT
easat-5666	52	12	tas	ta	NOUN
easat-5666	52	13	)	)	PUNCT
easat-5666	52	14	is	be	AUX
easat-5666	52	15	a	a	DET
easat-5666	52	16	crucial	crucial	ADJ
easat-5666	52	17	parameter	parameter	NOUN
easat-5666	52	18	used	use	VERB
easat-5666	52	19	to	to	PART
easat-5666	52	20	assess	assess	VERB
easat-5666	52	21	the	the	DET
easat-5666	52	22	overall	overall	ADJ
easat-5666	52	23	antioxidant	antioxidant	ADJ
easat-5666	52	24	capacity	capacity	NOUN
easat-5666	52	25	of	of	ADP
easat-5666	52	26	biological	biological	ADJ
easat-5666	52	27	systems	system	NOUN
easat-5666	52	28	,	,	PUNCT
easat-5666	52	29	reflecting	reflect	VERB
easat-5666	52	30	the	the	DET
easat-5666	52	31	balance	balance	NOUN
easat-5666	52	32	between	between	ADP
easat-5666	52	33	oxidative	oxidative	ADJ
easat-5666	52	34	stress	stress	NOUN
easat-5666	52	35	and	and	CCONJ
easat-5666	52	36	antioxidant	antioxidant	ADJ
easat-5666	52	37	defense	defense	NOUN
easat-5666	52	38	mechanisms	mechanism	NOUN
easat-5666	52	39	.	.	PUNCT
easat-5666	53	1	antioxidants	antioxidant	NOUN
easat-5666	53	2	play	play	VERB
easat-5666	53	3	a	a	DET
easat-5666	53	4	vital	vital	ADJ
easat-5666	53	5	role	role	NOUN
easat-5666	53	6	in	in	ADP
easat-5666	53	7	protecting	protect	VERB
easat-5666	53	8	cells	cell	NOUN
easat-5666	53	9	from	from	ADP
easat-5666	53	10	oxidative	oxidative	ADJ
easat-5666	53	11	damage	damage	NOUN
easat-5666	53	12	caused	cause	VERB
easat-5666	53	13	by	by	ADP
easat-5666	53	14	reactive	reactive	ADJ
easat-5666	53	15	oxygen	oxygen	NOUN
easat-5666	53	16	species	specie	NOUN
easat-5666	53	17	(	(	PUNCT
easat-5666	53	18	ros	ros	PROPN
easat-5666	53	19	)	)	PUNCT
easat-5666	53	20	,	,	PUNCT
easat-5666	53	21	which	which	PRON
easat-5666	53	22	are	be	AUX
easat-5666	53	23	linked	link	VERB
easat-5666	53	24	to	to	ADP
easat-5666	53	25	various	various	ADJ
easat-5666	53	26	1667	1667	NUM
easat-5666	53	27	edelweiss	edelweiss	PROPN
easat-5666	53	28	applied	apply	VERB
easat-5666	53	29	science	science	NOUN
easat-5666	53	30	and	and	CCONJ
easat-5666	53	31	technology	technology	NOUN
easat-5666	53	32	issn	issn	PROPN
easat-5666	53	33	:	:	PUNCT
easat-5666	53	34	2576	2576	NUM
easat-5666	53	35	-	-	SYM
easat-5666	53	36	8484	8484	NUM
easat-5666	53	37	vol	vol	NOUN
easat-5666	53	38	.	.	PROPN
easat-5666	54	1	9	9	NUM
easat-5666	54	2	,	,	PUNCT
easat-5666	54	3	no	no	INTJ
easat-5666	54	4	.	.	NOUN
easat-5666	55	1	3	3	NUM
easat-5666	55	2	:	:	PUNCT
easat-5666	55	3	1665	1665	NUM
easat-5666	55	4	-	-	SYM
easat-5666	55	5	1674	1674	NUM
easat-5666	55	6	,	,	PUNCT
easat-5666	55	7	2025	2025	NUM
easat-5666	55	8	doi	doi	NOUN
easat-5666	55	9	:	:	PUNCT
easat-5666	55	10	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	55	11	©	©	NOUN
easat-5666	55	12	2025	2025	NUM
easat-5666	55	13	by	by	ADP
easat-5666	55	14	the	the	DET
easat-5666	55	15	authors	author	NOUN
easat-5666	55	16	;	;	PUNCT
easat-5666	55	17	licensee	licensee	PROPN
easat-5666	55	18	learning	learn	VERB
easat-5666	55	19	gate	gate	NOUN
easat-5666	55	20	diseases	disease	NOUN
easat-5666	55	21	,	,	PUNCT
easat-5666	55	22	including	include	VERB
easat-5666	55	23	cardiovascular	cardiovascular	ADJ
easat-5666	55	24	disorders	disorder	NOUN
easat-5666	55	25	,	,	PUNCT
easat-5666	55	26	neurodegenerative	neurodegenerative	ADJ
easat-5666	55	27	conditions	condition	NOUN
easat-5666	55	28	,	,	PUNCT
easat-5666	55	29	and	and	CCONJ
easat-5666	55	30	metabolic	metabolic	NOUN
easat-5666	55	31	syndromes	syndrome	NOUN
easat-5666	55	32	.	.	PUNCT
easat-5666	56	1	tas	ta	NOUN
easat-5666	56	2	provides	provide	VERB
easat-5666	56	3	a	a	DET
easat-5666	56	4	comprehensive	comprehensive	ADJ
easat-5666	56	5	evaluation	evaluation	NOUN
easat-5666	56	6	of	of	ADP
easat-5666	56	7	both	both	CCONJ
easat-5666	56	8	enzymatic	enzymatic	ADJ
easat-5666	56	9	and	and	CCONJ
easat-5666	56	10	non	non	ADJ
easat-5666	56	11	-	-	ADJ
easat-5666	56	12	enzymatic	enzymatic	ADJ
easat-5666	56	13	antioxidants	antioxidant	NOUN
easat-5666	56	14	present	present	ADJ
easat-5666	56	15	in	in	ADP
easat-5666	56	16	the	the	DET
easat-5666	56	17	body	body	NOUN
easat-5666	56	18	,	,	PUNCT
easat-5666	56	19	offering	offer	VERB
easat-5666	56	20	a	a	DET
easat-5666	56	21	more	more	ADV
easat-5666	56	22	holistic	holistic	ADJ
easat-5666	56	23	approach	approach	NOUN
easat-5666	56	24	than	than	ADP
easat-5666	56	25	measuring	measure	VERB
easat-5666	56	26	individual	individual	ADJ
easat-5666	56	27	antioxidants	antioxidant	NOUN
easat-5666	56	28	separately	separately	ADV
easat-5666	56	29	.	.	PUNCT
easat-5666	57	1	it	it	PRON
easat-5666	57	2	is	be	AUX
easat-5666	57	3	commonly	commonly	ADV
easat-5666	57	4	used	use	VERB
easat-5666	57	5	in	in	ADP
easat-5666	57	6	medical	medical	ADJ
easat-5666	57	7	and	and	CCONJ
easat-5666	57	8	veterinary	veterinary	ADJ
easat-5666	57	9	research	research	NOUN
easat-5666	57	10	to	to	PART
easat-5666	57	11	study	study	VERB
easat-5666	57	12	oxidative	oxidative	ADJ
easat-5666	57	13	stressrelated	stressrelate	VERB
easat-5666	57	14	conditions	condition	NOUN
easat-5666	57	15	and	and	CCONJ
easat-5666	57	16	to	to	PART
easat-5666	57	17	evaluate	evaluate	VERB
easat-5666	57	18	the	the	DET
easat-5666	57	19	effects	effect	NOUN
easat-5666	57	20	of	of	ADP
easat-5666	57	21	diet	diet	NOUN
easat-5666	57	22	,	,	PUNCT
easat-5666	57	23	lifestyle	lifestyle	NOUN
easat-5666	57	24	,	,	PUNCT
easat-5666	57	25	and	and	CCONJ
easat-5666	57	26	therapeutic	therapeutic	ADJ
easat-5666	57	27	interventions	intervention	NOUN
easat-5666	57	28	on	on	ADP
easat-5666	57	29	antioxidant	antioxidant	ADJ
easat-5666	57	30	defenses	defense	NOUN
easat-5666	57	31	.	.	PUNCT
easat-5666	58	1	in	in	ADP
easat-5666	58	2	laboratory	laboratory	NOUN
easat-5666	58	3	studies	study	NOUN
easat-5666	58	4	,	,	PUNCT
easat-5666	58	5	tas	ta	NOUN
easat-5666	58	6	is	be	AUX
easat-5666	58	7	often	often	ADV
easat-5666	58	8	measured	measure	VERB
easat-5666	58	9	in	in	ADP
easat-5666	58	10	blood	blood	NOUN
easat-5666	58	11	plasma	plasma	NOUN
easat-5666	58	12	,	,	PUNCT
easat-5666	58	13	serum	serum	NOUN
easat-5666	58	14	,	,	PUNCT
easat-5666	58	15	or	or	CCONJ
easat-5666	58	16	tissue	tissue	NOUN
easat-5666	58	17	samples	sample	NOUN
easat-5666	58	18	using	use	VERB
easat-5666	58	19	spectrophotometric	spectrophotometric	ADJ
easat-5666	58	20	or	or	CCONJ
easat-5666	58	21	electrochemical	electrochemical	ADJ
easat-5666	58	22	methods	method	NOUN
easat-5666	58	23	.	.	PUNCT
easat-5666	59	1	by	by	ADP
easat-5666	59	2	monitoring	monitor	VERB
easat-5666	59	3	tas	ta	NOUN
easat-5666	59	4	levels	level	NOUN
easat-5666	59	5	,	,	PUNCT
easat-5666	59	6	researchers	researcher	NOUN
easat-5666	59	7	can	can	AUX
easat-5666	59	8	better	well	ADV
easat-5666	59	9	understand	understand	VERB
easat-5666	59	10	the	the	DET
easat-5666	59	11	body	body	NOUN
easat-5666	59	12	's	's	PART
easat-5666	59	13	ability	ability	NOUN
easat-5666	59	14	to	to	PART
easat-5666	59	15	counteract	counteract	VERB
easat-5666	59	16	oxidative	oxidative	ADJ
easat-5666	59	17	stress	stress	NOUN
easat-5666	59	18	and	and	CCONJ
easat-5666	59	19	develop	develop	VERB
easat-5666	59	20	strategies	strategy	NOUN
easat-5666	59	21	for	for	ADP
easat-5666	59	22	disease	disease	NOUN
easat-5666	59	23	prevention	prevention	NOUN
easat-5666	59	24	and	and	CCONJ
easat-5666	59	25	treatment	treatment	NOUN
easat-5666	59	26	.	.	PUNCT
easat-5666	60	1	the	the	DET
easat-5666	60	2	assessment	assessment	NOUN
easat-5666	60	3	of	of	ADP
easat-5666	60	4	tas	tas	NOUN
easat-5666	60	5	is	be	AUX
easat-5666	60	6	particularly	particularly	ADV
easat-5666	60	7	relevant	relevant	ADJ
easat-5666	60	8	in	in	ADP
easat-5666	60	9	studies	study	NOUN
easat-5666	60	10	related	relate	VERB
easat-5666	60	11	to	to	ADP
easat-5666	60	12	obesity	obesity	NOUN
easat-5666	60	13	,	,	PUNCT
easat-5666	60	14	inflammation	inflammation	NOUN
easat-5666	60	15	,	,	PUNCT
easat-5666	60	16	and	and	CCONJ
easat-5666	60	17	metabolic	metabolic	NOUN
easat-5666	60	18	disorders	disorder	NOUN
easat-5666	60	19	,	,	PUNCT
easat-5666	60	20	where	where	SCONJ
easat-5666	60	21	oxidative	oxidative	ADJ
easat-5666	60	22	stress	stress	NOUN
easat-5666	60	23	plays	play	VERB
easat-5666	60	24	a	a	DET
easat-5666	60	25	significant	significant	ADJ
easat-5666	60	26	role	role	NOUN
easat-5666	60	27	.	.	PUNCT
easat-5666	61	1	•	•	NUM
easat-5666	61	2	total	total	ADJ
easat-5666	61	3	oxidant	oxidant	ADJ
easat-5666	61	4	status	status	NOUN
easat-5666	61	5	(	(	PUNCT
easat-5666	61	6	tos	tos	NOUN
easat-5666	61	7	):	):	PUNCT
easat-5666	61	8	total	total	ADJ
easat-5666	61	9	oxidant	oxidant	ADJ
easat-5666	61	10	status	status	NOUN
easat-5666	61	11	(	(	PUNCT
easat-5666	61	12	tos	tos	NOUN
easat-5666	61	13	)	)	PUNCT
easat-5666	61	14	is	be	AUX
easat-5666	61	15	a	a	DET
easat-5666	61	16	key	key	ADJ
easat-5666	61	17	biomarker	biomarker	NOUN
easat-5666	61	18	used	use	VERB
easat-5666	61	19	to	to	PART
easat-5666	61	20	evaluate	evaluate	VERB
easat-5666	61	21	the	the	DET
easat-5666	61	22	overall	overall	ADJ
easat-5666	61	23	oxidative	oxidative	ADJ
easat-5666	61	24	burden	burden	NOUN
easat-5666	61	25	in	in	ADP
easat-5666	61	26	biological	biological	ADJ
easat-5666	61	27	systems	system	NOUN
easat-5666	61	28	.	.	PUNCT
easat-5666	62	1	it	it	PRON
easat-5666	62	2	reflects	reflect	VERB
easat-5666	62	3	the	the	DET
easat-5666	62	4	cumulative	cumulative	ADJ
easat-5666	62	5	effect	effect	NOUN
easat-5666	62	6	of	of	ADP
easat-5666	62	7	reactive	reactive	ADJ
easat-5666	62	8	oxygen	oxygen	NOUN
easat-5666	62	9	species	specie	NOUN
easat-5666	62	10	(	(	PUNCT
easat-5666	62	11	ros	ros	PROPN
easat-5666	62	12	)	)	PUNCT
easat-5666	62	13	and	and	CCONJ
easat-5666	62	14	other	other	ADJ
easat-5666	62	15	oxidants	oxidant	NOUN
easat-5666	62	16	,	,	PUNCT
easat-5666	62	17	which	which	PRON
easat-5666	62	18	can	can	AUX
easat-5666	62	19	cause	cause	VERB
easat-5666	62	20	cellular	cellular	ADJ
easat-5666	62	21	damage	damage	NOUN
easat-5666	62	22	and	and	CCONJ
easat-5666	62	23	contribute	contribute	VERB
easat-5666	62	24	to	to	ADP
easat-5666	62	25	various	various	ADJ
easat-5666	62	26	pathological	pathological	ADJ
easat-5666	62	27	conditions	condition	NOUN
easat-5666	62	28	,	,	PUNCT
easat-5666	62	29	including	include	VERB
easat-5666	62	30	cardiovascular	cardiovascular	ADJ
easat-5666	62	31	diseases	disease	NOUN
easat-5666	62	32	,	,	PUNCT
easat-5666	62	33	metabolic	metabolic	NOUN
easat-5666	62	34	disorders	disorder	NOUN
easat-5666	62	35	,	,	PUNCT
easat-5666	62	36	neurodegenerative	neurodegenerative	ADJ
easat-5666	62	37	diseases	disease	NOUN
easat-5666	62	38	,	,	PUNCT
easat-5666	62	39	and	and	CCONJ
easat-5666	62	40	inflammation	inflammation	NOUN
easat-5666	62	41	-	-	PUNCT
easat-5666	62	42	related	relate	VERB
easat-5666	62	43	conditions	condition	NOUN
easat-5666	62	44	.	.	PUNCT
easat-5666	63	1	oxidative	oxidative	ADJ
easat-5666	63	2	stress	stress	NOUN
easat-5666	63	3	occurs	occur	VERB
easat-5666	63	4	when	when	SCONJ
easat-5666	63	5	there	there	PRON
easat-5666	63	6	is	be	VERB
easat-5666	63	7	an	an	DET
easat-5666	63	8	imbalance	imbalance	NOUN
easat-5666	63	9	between	between	ADP
easat-5666	63	10	oxidants	oxidant	NOUN
easat-5666	63	11	and	and	CCONJ
easat-5666	63	12	antioxidants	antioxidant	NOUN
easat-5666	63	13	,	,	PUNCT
easat-5666	63	14	leading	lead	VERB
easat-5666	63	15	to	to	ADP
easat-5666	63	16	increased	increase	VERB
easat-5666	63	17	levels	level	NOUN
easat-5666	63	18	of	of	ADP
easat-5666	63	19	oxidative	oxidative	ADJ
easat-5666	63	20	molecules	molecule	NOUN
easat-5666	63	21	that	that	PRON
easat-5666	63	22	can	can	AUX
easat-5666	63	23	damage	damage	VERB
easat-5666	63	24	lipids	lipid	NOUN
easat-5666	63	25	,	,	PUNCT
easat-5666	63	26	proteins	protein	NOUN
easat-5666	63	27	,	,	PUNCT
easat-5666	63	28	and	and	CCONJ
easat-5666	63	29	dna	dna	PROPN
easat-5666	63	30	.	.	PUNCT
easat-5666	64	1	unlike	unlike	ADP
easat-5666	64	2	measuring	measure	VERB
easat-5666	64	3	individual	individual	ADJ
easat-5666	64	4	oxidant	oxidant	ADJ
easat-5666	64	5	species	specie	NOUN
easat-5666	64	6	,	,	PUNCT
easat-5666	64	7	tos	to	NOUN
easat-5666	64	8	provides	provide	VERB
easat-5666	64	9	a	a	DET
easat-5666	64	10	comprehensive	comprehensive	ADJ
easat-5666	64	11	assessment	assessment	NOUN
easat-5666	64	12	of	of	ADP
easat-5666	64	13	the	the	DET
easat-5666	64	14	total	total	ADJ
easat-5666	64	15	oxidative	oxidative	ADJ
easat-5666	64	16	load	load	NOUN
easat-5666	64	17	in	in	ADP
easat-5666	64	18	biological	biological	ADJ
easat-5666	64	19	samples	sample	NOUN
easat-5666	64	20	,	,	PUNCT
easat-5666	64	21	making	make	VERB
easat-5666	64	22	it	it	PRON
easat-5666	64	23	a	a	DET
easat-5666	64	24	valuable	valuable	ADJ
easat-5666	64	25	tool	tool	NOUN
easat-5666	64	26	in	in	ADP
easat-5666	64	27	both	both	CCONJ
easat-5666	64	28	clinical	clinical	ADJ
easat-5666	64	29	and	and	CCONJ
easat-5666	64	30	experimental	experimental	ADJ
easat-5666	64	31	research	research	NOUN
easat-5666	64	32	.	.	PUNCT
easat-5666	65	1	tos	tos	NOUN
easat-5666	65	2	is	be	AUX
easat-5666	65	3	commonly	commonly	ADV
easat-5666	65	4	measured	measure	VERB
easat-5666	65	5	in	in	ADP
easat-5666	65	6	blood	blood	NOUN
easat-5666	65	7	plasma	plasma	NOUN
easat-5666	65	8	,	,	PUNCT
easat-5666	65	9	serum	serum	NOUN
easat-5666	65	10	,	,	PUNCT
easat-5666	65	11	or	or	CCONJ
easat-5666	65	12	tissue	tissue	NOUN
easat-5666	65	13	samples	sample	NOUN
easat-5666	65	14	using	use	VERB
easat-5666	65	15	spectrophotometric	spectrophotometric	ADJ
easat-5666	65	16	methods	method	NOUN
easat-5666	65	17	.	.	PUNCT
easat-5666	66	1	it	it	PRON
easat-5666	66	2	is	be	AUX
easat-5666	66	3	frequently	frequently	ADV
easat-5666	66	4	analyzed	analyze	VERB
easat-5666	66	5	alongside	alongside	ADP
easat-5666	66	6	total	total	ADJ
easat-5666	66	7	antioxidant	antioxidant	ADJ
easat-5666	66	8	status	status	NOUN
easat-5666	66	9	(	(	PUNCT
easat-5666	66	10	tas	ta	NOUN
easat-5666	66	11	)	)	PUNCT
easat-5666	66	12	to	to	PART
easat-5666	66	13	determine	determine	VERB
easat-5666	66	14	the	the	DET
easat-5666	66	15	oxidative	oxidative	ADJ
easat-5666	66	16	stress	stress	NOUN
easat-5666	66	17	index	index	NOUN
easat-5666	66	18	(	(	PUNCT
easat-5666	66	19	osi	osi	PROPN
easat-5666	66	20	)	)	PUNCT
easat-5666	66	21	,	,	PUNCT
easat-5666	66	22	which	which	PRON
easat-5666	66	23	gives	give	VERB
easat-5666	66	24	a	a	DET
easat-5666	66	25	clearer	clear	ADJ
easat-5666	66	26	picture	picture	NOUN
easat-5666	66	27	of	of	ADP
easat-5666	66	28	the	the	DET
easat-5666	66	29	balance	balance	NOUN
easat-5666	66	30	between	between	ADP
easat-5666	66	31	oxidation	oxidation	NOUN
easat-5666	66	32	and	and	CCONJ
easat-5666	66	33	antioxidant	antioxidant	ADJ
easat-5666	66	34	defense	defense	NOUN
easat-5666	66	35	mechanisms	mechanism	NOUN
easat-5666	66	36	.	.	PUNCT
easat-5666	67	1	understanding	understand	VERB
easat-5666	67	2	tos	tos	NOUN
easat-5666	67	3	levels	level	NOUN
easat-5666	67	4	helps	help	VERB
easat-5666	67	5	researchers	researcher	NOUN
easat-5666	67	6	and	and	CCONJ
easat-5666	67	7	clinicians	clinician	NOUN
easat-5666	67	8	assess	assess	VERB
easat-5666	67	9	oxidative	oxidative	ADJ
easat-5666	67	10	stress	stress	NOUN
easat-5666	67	11	-	-	PUNCT
easat-5666	67	12	related	relate	VERB
easat-5666	67	13	conditions	condition	NOUN
easat-5666	67	14	and	and	CCONJ
easat-5666	67	15	develop	develop	VERB
easat-5666	67	16	targeted	targeted	ADJ
easat-5666	67	17	strategies	strategy	NOUN
easat-5666	67	18	for	for	ADP
easat-5666	67	19	prevention	prevention	NOUN
easat-5666	67	20	and	and	CCONJ
easat-5666	67	21	treatment	treatment	NOUN
easat-5666	67	22	.	.	PUNCT
easat-5666	68	1	2.2	2.2	NUM
easat-5666	68	2	.	.	PUNCT
easat-5666	68	3	data	datum	NOUN
easat-5666	68	4	processing	processing	NOUN
easat-5666	68	5	steps	step	NOUN
easat-5666	68	6	in	in	ADP
easat-5666	68	7	the	the	DET
easat-5666	68	8	initial	initial	ADJ
easat-5666	68	9	phase	phase	NOUN
easat-5666	68	10	of	of	ADP
easat-5666	68	11	the	the	DET
easat-5666	68	12	study	study	NOUN
easat-5666	68	13	,	,	PUNCT
easat-5666	68	14	data	datum	NOUN
easat-5666	68	15	preprocessing	preprocessing	NOUN
easat-5666	68	16	was	be	AUX
easat-5666	68	17	carried	carry	VERB
easat-5666	68	18	out	out	ADP
easat-5666	68	19	to	to	PART
easat-5666	68	20	organize	organize	VERB
easat-5666	68	21	the	the	DET
easat-5666	68	22	collected	collect	VERB
easat-5666	68	23	information	information	NOUN
easat-5666	68	24	into	into	ADP
easat-5666	68	25	a	a	DET
easat-5666	68	26	structured	structured	ADJ
easat-5666	68	27	table	table	NOUN
easat-5666	68	28	,	,	PUNCT
easat-5666	68	29	ensuring	ensure	VERB
easat-5666	68	30	its	its	PRON
easat-5666	68	31	completeness	completeness	NOUN
easat-5666	68	32	and	and	CCONJ
easat-5666	68	33	readiness	readiness	NOUN
easat-5666	68	34	for	for	ADP
easat-5666	68	35	analysis	analysis	NOUN
easat-5666	68	36	.	.	PUNCT
easat-5666	69	1	the	the	DET
easat-5666	69	2	preprocessing	preprocessing	NOUN
easat-5666	69	3	and	and	CCONJ
easat-5666	69	4	data	datum	NOUN
easat-5666	69	5	cleaning	cleaning	NOUN
easat-5666	69	6	procedures	procedure	NOUN
easat-5666	69	7	were	be	AUX
easat-5666	69	8	thoroughly	thoroughly	ADV
easat-5666	69	9	executed	execute	VERB
easat-5666	69	10	using	use	VERB
easat-5666	69	11	matlab	matlab	PROPN
easat-5666	69	12	2024	2024	NUM
easat-5666	69	13	versions	version	NOUN
easat-5666	69	14	.	.	PUNCT
easat-5666	70	1	records	record	NOUN
easat-5666	70	2	with	with	ADP
easat-5666	70	3	significant	significant	ADJ
easat-5666	70	4	missing	missing	ADJ
easat-5666	70	5	or	or	CCONJ
easat-5666	70	6	invalid	invalid	ADJ
easat-5666	70	7	data	datum	NOUN
easat-5666	70	8	were	be	AUX
easat-5666	70	9	excluded	exclude	VERB
easat-5666	70	10	,	,	PUNCT
easat-5666	70	11	while	while	SCONJ
easat-5666	70	12	entries	entry	NOUN
easat-5666	70	13	with	with	ADP
easat-5666	70	14	minor	minor	ADJ
easat-5666	70	15	missing	missing	ADJ
easat-5666	70	16	values	value	NOUN
easat-5666	70	17	were	be	AUX
easat-5666	70	18	imputed	impute	VERB
easat-5666	70	19	using	use	VERB
easat-5666	70	20	the	the	DET
easat-5666	70	21	mean	mean	NOUN
easat-5666	70	22	of	of	ADP
easat-5666	70	23	the	the	DET
easat-5666	70	24	corresponding	corresponding	ADJ
easat-5666	70	25	data	datum	NOUN
easat-5666	70	26	group	group	NOUN
easat-5666	70	27	.	.	PUNCT
easat-5666	71	1	additionally	additionally	ADV
easat-5666	71	2	,	,	PUNCT
easat-5666	71	3	duplicate	duplicate	ADJ
easat-5666	71	4	records	record	NOUN
easat-5666	71	5	were	be	AUX
easat-5666	71	6	identified	identify	VERB
easat-5666	71	7	and	and	CCONJ
easat-5666	71	8	removed	remove	VERB
easat-5666	71	9	to	to	PART
easat-5666	71	10	maintain	maintain	VERB
easat-5666	71	11	a	a	DET
easat-5666	71	12	dataset	dataset	NOUN
easat-5666	71	13	composed	compose	VERB
easat-5666	71	14	solely	solely	ADV
easat-5666	71	15	of	of	ADP
easat-5666	71	16	unique	unique	ADJ
easat-5666	71	17	entries	entry	NOUN
easat-5666	71	18	.	.	PUNCT
easat-5666	72	1	the	the	DET
easat-5666	72	2	final	final	ADJ
easat-5666	72	3	stage	stage	NOUN
easat-5666	72	4	of	of	ADP
easat-5666	72	5	data	datum	NOUN
easat-5666	72	6	processing	processing	NOUN
easat-5666	72	7	involved	involve	VERB
easat-5666	72	8	the	the	DET
easat-5666	72	9	feature	feature	NOUN
easat-5666	72	10	selection	selection	NOUN
easat-5666	72	11	process	process	NOUN
easat-5666	72	12	of	of	ADP
easat-5666	72	13	%	%	NOUN
easat-5666	72	14	70:30	70:30	NUM
easat-5666	72	15	divided	divide	VERB
easat-5666	72	16	dataset	dataset	NOUN
easat-5666	72	17	,	,	PUNCT
easat-5666	72	18	which	which	PRON
easat-5666	72	19	is	be	AUX
easat-5666	72	20	essential	essential	ADJ
easat-5666	72	21	for	for	ADP
easat-5666	72	22	identifying	identify	VERB
easat-5666	72	23	the	the	DET
easat-5666	72	24	most	most	ADV
easat-5666	72	25	relevant	relevant	ADJ
easat-5666	72	26	attributes	attribute	NOUN
easat-5666	72	27	in	in	ADP
easat-5666	72	28	a	a	DET
easat-5666	72	29	dataset	dataset	NOUN
easat-5666	72	30	when	when	SCONJ
easat-5666	72	31	constructing	construct	VERB
easat-5666	72	32	a	a	DET
easat-5666	72	33	new	new	ADJ
easat-5666	72	34	model	model	NOUN
easat-5666	72	35	.	.	PUNCT
easat-5666	73	1	this	this	DET
easat-5666	73	2	step	step	NOUN
easat-5666	73	3	not	not	PART
easat-5666	73	4	only	only	ADV
easat-5666	73	5	highlights	highlight	VERB
easat-5666	73	6	the	the	DET
easat-5666	73	7	most	most	ADV
easat-5666	73	8	influential	influential	ADJ
easat-5666	73	9	features	feature	NOUN
easat-5666	73	10	but	but	CCONJ
easat-5666	73	11	also	also	ADV
easat-5666	73	12	helps	help	VERB
easat-5666	73	13	in	in	ADP
easat-5666	73	14	selecting	select	VERB
easat-5666	73	15	interrelated	interrelated	ADJ
easat-5666	73	16	variables	variable	NOUN
easat-5666	73	17	that	that	PRON
easat-5666	73	18	contribute	contribute	VERB
easat-5666	73	19	significantly	significantly	ADV
easat-5666	73	20	to	to	ADP
easat-5666	73	21	the	the	DET
easat-5666	73	22	predictive	predictive	ADJ
easat-5666	73	23	performance	performance	NOUN
easat-5666	73	24	of	of	ADP
easat-5666	73	25	the	the	DET
easat-5666	73	26	model	model	NOUN
easat-5666	73	27	.	.	PUNCT
easat-5666	74	1	in	in	ADP
easat-5666	74	2	our	our	PRON
easat-5666	74	3	study	study	NOUN
easat-5666	74	4	,	,	PUNCT
easat-5666	74	5	we	we	PRON
easat-5666	74	6	utilized	utilize	VERB
easat-5666	74	7	information	information	NOUN
easat-5666	74	8	-	-	PUNCT
easat-5666	74	9	based	base	VERB
easat-5666	74	10	evaluation	evaluation	NOUN
easat-5666	74	11	techniques	technique	NOUN
easat-5666	74	12	available	available	ADJ
easat-5666	74	13	in	in	ADP
easat-5666	74	14	matlab	matlab	PROPN
easat-5666	74	15	to	to	PART
easat-5666	74	16	determine	determine	VERB
easat-5666	74	17	the	the	DET
easat-5666	74	18	key	key	ADJ
easat-5666	74	19	features	feature	NOUN
easat-5666	74	20	associated	associate	VERB
easat-5666	74	21	with	with	ADP
easat-5666	74	22	obesity	obesity	NOUN
easat-5666	74	23	status	status	NOUN
easat-5666	74	24	and	and	CCONJ
easat-5666	74	25	risk	risk	NOUN
easat-5666	74	26	assessment	assessment	NOUN
easat-5666	74	27	.	.	PUNCT
easat-5666	75	1	these	these	DET
easat-5666	75	2	evaluators	evaluator	NOUN
easat-5666	75	3	enabled	enable	VERB
easat-5666	75	4	the	the	DET
easat-5666	75	5	identification	identification	NOUN
easat-5666	75	6	of	of	ADP
easat-5666	75	7	the	the	DET
easat-5666	75	8	most	most	ADV
easat-5666	75	9	informative	informative	ADJ
easat-5666	75	10	parameters	parameter	NOUN
easat-5666	75	11	,	,	PUNCT
easat-5666	75	12	ensuring	ensure	VERB
easat-5666	75	13	that	that	SCONJ
easat-5666	75	14	the	the	DET
easat-5666	75	15	model	model	NOUN
easat-5666	75	16	focused	focus	VERB
easat-5666	75	17	on	on	ADP
easat-5666	75	18	the	the	DET
easat-5666	75	19	most	most	ADV
easat-5666	75	20	impactful	impactful	ADJ
easat-5666	75	21	predictors	predictor	NOUN
easat-5666	75	22	for	for	ADP
easat-5666	75	23	accurate	accurate	ADJ
easat-5666	75	24	classification	classification	NOUN
easat-5666	75	25	and	and	CCONJ
easat-5666	75	26	analysis	analysis	NOUN
easat-5666	75	27	.	.	PUNCT
easat-5666	76	1	2.3	2.3	NUM
easat-5666	76	2	.	.	PUNCT
easat-5666	76	3	specific	specific	ADJ
easat-5666	76	4	machine	machine	NOUN
easat-5666	76	5	learning	learn	VERB
easat-5666	76	6	algorithms	algorithms	NOUN
easat-5666	76	7	2.3.1	2.3.1	NUM
easat-5666	76	8	.	.	PUNCT
easat-5666	76	9	random	random	ADJ
easat-5666	76	10	forest	forest	NOUN
easat-5666	76	11	(	(	PUNCT
easat-5666	76	12	rf	rf	NOUN
easat-5666	76	13	)	)	PUNCT
easat-5666	76	14	random	random	ADJ
easat-5666	76	15	forest	forest	NOUN
easat-5666	76	16	(	(	PUNCT
easat-5666	76	17	rf	rf	NOUN
easat-5666	76	18	)	)	PUNCT
easat-5666	76	19	is	be	AUX
easat-5666	76	20	a	a	DET
easat-5666	76	21	powerful	powerful	ADJ
easat-5666	76	22	ensemble	ensemble	ADJ
easat-5666	76	23	machine	machine	NOUN
easat-5666	76	24	learning	learn	VERB
easat-5666	76	25	algorithm	algorithm	NOUN
easat-5666	76	26	widely	widely	ADV
easat-5666	76	27	used	use	VERB
easat-5666	76	28	for	for	ADP
easat-5666	76	29	classification	classification	NOUN
easat-5666	76	30	and	and	CCONJ
easat-5666	76	31	regression	regression	NOUN
easat-5666	76	32	tasks	task	NOUN
easat-5666	76	33	.	.	PUNCT
easat-5666	77	1	it	it	PRON
easat-5666	77	2	operates	operate	VERB
easat-5666	77	3	by	by	ADP
easat-5666	77	4	constructing	construct	VERB
easat-5666	77	5	multiple	multiple	ADJ
easat-5666	77	6	decision	decision	NOUN
easat-5666	77	7	trees	tree	NOUN
easat-5666	77	8	and	and	CCONJ
easat-5666	77	9	combining	combine	VERB
easat-5666	77	10	their	their	PRON
easat-5666	77	11	outputs	output	NOUN
easat-5666	77	12	to	to	PART
easat-5666	77	13	improve	improve	VERB
easat-5666	77	14	accuracy	accuracy	NOUN
easat-5666	77	15	,	,	PUNCT
easat-5666	77	16	reduce	reduce	VERB
easat-5666	77	17	overfitting	overfitting	NOUN
easat-5666	77	18	,	,	PUNCT
easat-5666	77	19	and	and	CCONJ
easat-5666	77	20	enhance	enhance	VERB
easat-5666	77	21	generalization	generalization	NOUN
easat-5666	77	22	.	.	PUNCT
easat-5666	78	1	in	in	ADP
easat-5666	78	2	obesity	obesity	NOUN
easat-5666	78	3	detection	detection	NOUN
easat-5666	78	4	,	,	PUNCT
easat-5666	78	5	1668	1668	NUM
easat-5666	78	6	edelweiss	edelweiss	PROPN
easat-5666	78	7	applied	apply	VERB
easat-5666	78	8	science	science	NOUN
easat-5666	78	9	and	and	CCONJ
easat-5666	78	10	technology	technology	NOUN
easat-5666	78	11	issn	issn	PROPN
easat-5666	78	12	:	:	PUNCT
easat-5666	78	13	2576	2576	NUM
easat-5666	78	14	-	-	SYM
easat-5666	78	15	8484	8484	NUM
easat-5666	78	16	vol	vol	NOUN
easat-5666	78	17	.	.	PROPN
easat-5666	79	1	9	9	NUM
easat-5666	79	2	,	,	PUNCT
easat-5666	79	3	no	no	INTJ
easat-5666	79	4	.	.	NOUN
easat-5666	80	1	3	3	NUM
easat-5666	80	2	:	:	PUNCT
easat-5666	80	3	1665	1665	NUM
easat-5666	80	4	-	-	SYM
easat-5666	80	5	1674	1674	NUM
easat-5666	80	6	,	,	PUNCT
easat-5666	80	7	2025	2025	NUM
easat-5666	80	8	doi	doi	NOUN
easat-5666	80	9	:	:	PUNCT
easat-5666	80	10	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	80	11	©	©	NOUN
easat-5666	80	12	2025	2025	NUM
easat-5666	80	13	by	by	ADP
easat-5666	80	14	the	the	DET
easat-5666	80	15	authors	author	NOUN
easat-5666	80	16	;	;	PUNCT
easat-5666	80	17	licensee	licensee	PROPN
easat-5666	80	18	learning	learning	NOUN
easat-5666	80	19	gate	gate	NOUN
easat-5666	80	20	particularly	particularly	ADV
easat-5666	80	21	in	in	ADP
easat-5666	80	22	rats	rat	NOUN
easat-5666	80	23	,	,	PUNCT
easat-5666	80	24	rf	rf	PRON
easat-5666	80	25	can	can	AUX
easat-5666	80	26	efficiently	efficiently	ADV
easat-5666	80	27	analyze	analyze	VERB
easat-5666	80	28	various	various	ADJ
easat-5666	80	29	physiological	physiological	ADJ
easat-5666	80	30	and	and	CCONJ
easat-5666	80	31	biochemical	biochemical	ADJ
easat-5666	80	32	parameters	parameter	NOUN
easat-5666	80	33	to	to	PART
easat-5666	80	34	classify	classify	VERB
easat-5666	80	35	subjects	subject	NOUN
easat-5666	80	36	as	as	ADP
easat-5666	80	37	obese	obese	ADJ
easat-5666	80	38	or	or	CCONJ
easat-5666	80	39	non	non	ADJ
easat-5666	80	40	-	-	ADJ
easat-5666	80	41	obese	obese	ADJ
easat-5666	80	42	with	with	ADP
easat-5666	80	43	high	high	ADJ
easat-5666	80	44	accuracy	accuracy	NOUN
easat-5666	80	45	[	[	X
easat-5666	80	46	8	8	NUM
easat-5666	80	47	]	]	PUNCT
easat-5666	80	48	.	.	PUNCT
easat-5666	81	1	in	in	ADP
easat-5666	81	2	this	this	DET
easat-5666	81	3	study	study	NOUN
easat-5666	81	4	,	,	PUNCT
easat-5666	81	5	random	random	ADJ
easat-5666	81	6	forest	forest	NOUN
easat-5666	81	7	was	be	AUX
easat-5666	81	8	applied	apply	VERB
easat-5666	81	9	to	to	PART
easat-5666	81	10	detect	detect	VERB
easat-5666	81	11	obesity	obesity	NOUN
easat-5666	81	12	in	in	ADP
easat-5666	81	13	rats	rat	NOUN
easat-5666	81	14	using	use	VERB
easat-5666	81	15	a	a	DET
easat-5666	81	16	dataset	dataset	NOUN
easat-5666	81	17	consisting	consisting	NOUN
easat-5666	81	18	of	of	ADP
easat-5666	81	19	blood	blood	NOUN
easat-5666	81	20	test	test	NOUN
easat-5666	81	21	parameters	parameter	NOUN
easat-5666	81	22	,	,	PUNCT
easat-5666	81	23	body	body	NOUN
easat-5666	81	24	weight	weight	NOUN
easat-5666	81	25	,	,	PUNCT
easat-5666	81	26	and	and	CCONJ
easat-5666	81	27	metabolic	metabolic	NOUN
easat-5666	81	28	biomarkers	biomarker	NOUN
easat-5666	81	29	.	.	PUNCT
easat-5666	82	1	by	by	ADP
easat-5666	82	2	leveraging	leverage	VERB
easat-5666	82	3	the	the	DET
easat-5666	82	4	strength	strength	NOUN
easat-5666	82	5	of	of	ADP
easat-5666	82	6	multiple	multiple	ADJ
easat-5666	82	7	decision	decision	NOUN
easat-5666	82	8	trees	tree	NOUN
easat-5666	82	9	,	,	PUNCT
easat-5666	82	10	the	the	DET
easat-5666	82	11	algorithm	algorithm	NOUN
easat-5666	82	12	aimed	aim	VERB
easat-5666	82	13	to	to	PART
easat-5666	82	14	provide	provide	VERB
easat-5666	82	15	a	a	DET
easat-5666	82	16	robust	robust	ADJ
easat-5666	82	17	and	and	CCONJ
easat-5666	82	18	interpretable	interpretable	ADJ
easat-5666	82	19	model	model	NOUN
easat-5666	82	20	for	for	ADP
easat-5666	82	21	obesity	obesity	NOUN
easat-5666	82	22	classification	classification	NOUN
easat-5666	82	23	.	.	PUNCT
easat-5666	83	1	according	accord	VERB
easat-5666	83	2	to	to	ADP
easat-5666	83	3	the	the	DET
easat-5666	83	4	pre	pre	ADJ
easat-5666	83	5	-	-	ADJ
easat-5666	83	6	processing	processing	ADJ
easat-5666	83	7	phase	phase	NOUN
easat-5666	83	8	of	of	ADP
easat-5666	83	9	random	random	ADJ
easat-5666	83	10	forest	forest	NOUN
easat-5666	83	11	;	;	PUNCT
easat-5666	83	12	•	•	NUM
easat-5666	83	13	data	datum	NOUN
easat-5666	83	14	cleaning	cleaning	NOUN
easat-5666	83	15	–	–	PUNCT
easat-5666	83	16	missing	miss	VERB
easat-5666	83	17	values	value	NOUN
easat-5666	83	18	were	be	AUX
easat-5666	83	19	handled	handle	VERB
easat-5666	83	20	using	use	VERB
easat-5666	83	21	mean	mean	ADJ
easat-5666	83	22	imputation	imputation	NOUN
easat-5666	83	23	for	for	ADP
easat-5666	83	24	minor	minor	ADJ
easat-5666	83	25	gaps	gap	NOUN
easat-5666	83	26	,	,	PUNCT
easat-5666	83	27	while	while	SCONJ
easat-5666	83	28	records	record	NOUN
easat-5666	83	29	with	with	ADP
easat-5666	83	30	significant	significant	ADJ
easat-5666	83	31	missing	missing	ADJ
easat-5666	83	32	data	datum	NOUN
easat-5666	83	33	were	be	AUX
easat-5666	83	34	removed	remove	VERB
easat-5666	83	35	.	.	PUNCT
easat-5666	84	1	•	•	NUM
easat-5666	84	2	duplicate	duplicate	ADJ
easat-5666	84	3	removal	removal	NOUN
easat-5666	84	4	–	–	PUNCT
easat-5666	84	5	identical	identical	ADJ
easat-5666	84	6	entries	entry	NOUN
easat-5666	84	7	were	be	AUX
easat-5666	84	8	eliminated	eliminate	VERB
easat-5666	84	9	to	to	PART
easat-5666	84	10	ensure	ensure	VERB
easat-5666	84	11	unique	unique	ADJ
easat-5666	84	12	observations	observation	NOUN
easat-5666	84	13	.	.	PUNCT
easat-5666	85	1	•	•	NUM
easat-5666	85	2	normalization	normalization	NOUN
easat-5666	85	3	–	–	PUNCT
easat-5666	85	4	to	to	PART
easat-5666	85	5	standardize	standardize	VERB
easat-5666	85	6	different	different	ADJ
easat-5666	85	7	feature	feature	NOUN
easat-5666	85	8	scales	scale	NOUN
easat-5666	85	9	,	,	PUNCT
easat-5666	85	10	min	min	PROPN
easat-5666	85	11	-	-	ADJ
easat-5666	85	12	max	max	PROPN
easat-5666	85	13	normalization	normalization	NOUN
easat-5666	85	14	was	be	AUX
easat-5666	85	15	applied	apply	VERB
easat-5666	85	16	.	.	PUNCT
easat-5666	86	1	•	•	NUM
easat-5666	86	2	feature	feature	NOUN
easat-5666	86	3	selection	selection	NOUN
easat-5666	86	4	–	–	PUNCT
easat-5666	86	5	information	information	NOUN
easat-5666	86	6	-	-	PUNCT
easat-5666	86	7	based	base	VERB
easat-5666	86	8	feature	feature	NOUN
easat-5666	86	9	selection	selection	NOUN
easat-5666	86	10	methods	method	NOUN
easat-5666	86	11	in	in	ADP
easat-5666	86	12	matlab	matlab	PROPN
easat-5666	86	13	were	be	AUX
easat-5666	86	14	used	use	VERB
easat-5666	86	15	to	to	PART
easat-5666	86	16	identify	identify	VERB
easat-5666	86	17	the	the	DET
easat-5666	86	18	most	most	ADV
easat-5666	86	19	relevant	relevant	ADJ
easat-5666	86	20	parameters	parameter	NOUN
easat-5666	86	21	linked	link	VERB
easat-5666	86	22	to	to	ADP
easat-5666	86	23	obesity	obesity	NOUN
easat-5666	86	24	status	status	NOUN
easat-5666	86	25	.	.	PUNCT
easat-5666	87	1	according	accord	VERB
easat-5666	87	2	to	to	ADP
easat-5666	87	3	the	the	DET
easat-5666	87	4	model	model	NOUN
easat-5666	87	5	implementation	implementation	NOUN
easat-5666	87	6	phase	phase	NOUN
easat-5666	87	7	of	of	ADP
easat-5666	87	8	random	random	ADJ
easat-5666	87	9	forest	forest	NOUN
easat-5666	87	10	;	;	PUNCT
easat-5666	87	11	•	•	ADP
easat-5666	87	12	splitting	split	VERB
easat-5666	87	13	the	the	DET
easat-5666	87	14	dataset	dataset	NOUN
easat-5666	87	15	:	:	PUNCT
easat-5666	87	16	the	the	DET
easat-5666	87	17	dataset	dataset	NOUN
easat-5666	87	18	was	be	AUX
easat-5666	87	19	divided	divide	VERB
easat-5666	87	20	into	into	ADP
easat-5666	87	21	a	a	DET
easat-5666	87	22	training	training	NOUN
easat-5666	87	23	set	set	NOUN
easat-5666	87	24	(	(	PUNCT
easat-5666	87	25	70	70	NUM
easat-5666	87	26	%	%	NOUN
easat-5666	87	27	)	)	PUNCT
easat-5666	87	28	and	and	CCONJ
easat-5666	87	29	a	a	DET
easat-5666	87	30	test	test	NOUN
easat-5666	87	31	set	set	NOUN
easat-5666	87	32	(	(	PUNCT
easat-5666	87	33	30	30	NUM
easat-5666	87	34	%	%	NOUN
easat-5666	87	35	)	)	PUNCT
easat-5666	87	36	to	to	PART
easat-5666	87	37	evaluate	evaluate	VERB
easat-5666	87	38	model	model	NOUN
easat-5666	87	39	performance	performance	NOUN
easat-5666	87	40	.	.	PUNCT
easat-5666	88	1	•	•	NUM
easat-5666	88	2	hyperparameter	hyperparameter	NOUN
easat-5666	88	3	optimization	optimization	NOUN
easat-5666	88	4	:	:	PUNCT
easat-5666	88	5	to	to	PART
easat-5666	88	6	improve	improve	VERB
easat-5666	88	7	accuracy	accuracy	NOUN
easat-5666	88	8	,	,	PUNCT
easat-5666	88	9	several	several	ADJ
easat-5666	88	10	hyperparameters	hyperparameter	NOUN
easat-5666	88	11	were	be	AUX
easat-5666	88	12	tuned	tune	VERB
easat-5666	88	13	,	,	PUNCT
easat-5666	88	14	including	include	VERB
easat-5666	88	15	:	:	PUNCT
easat-5666	88	16	•	•	NUM
easat-5666	88	17	number	number	NOUN
easat-5666	88	18	of	of	ADP
easat-5666	88	19	decision	decision	NOUN
easat-5666	88	20	trees	tree	NOUN
easat-5666	88	21	(	(	PUNCT
easat-5666	88	22	n_estimators	n_estimator	NOUN
easat-5666	88	23	)	)	PUNCT
easat-5666	88	24	–	–	PUNCT
easat-5666	88	25	a	a	DET
easat-5666	88	26	range	range	NOUN
easat-5666	88	27	of	of	ADP
easat-5666	88	28	50	50	NUM
easat-5666	88	29	to	to	PART
easat-5666	88	30	500	500	NUM
easat-5666	88	31	trees	tree	NOUN
easat-5666	88	32	was	be	AUX
easat-5666	88	33	tested	test	VERB
easat-5666	88	34	,	,	PUNCT
easat-5666	88	35	with	with	ADP
easat-5666	88	36	the	the	DET
easat-5666	88	37	optimal	optimal	ADJ
easat-5666	88	38	count	count	NOUN
easat-5666	88	39	found	find	VERB
easat-5666	88	40	at	at	ADP
easat-5666	88	41	300	300	NUM
easat-5666	88	42	trees	tree	NOUN
easat-5666	88	43	.	.	PUNCT
easat-5666	89	1	•	•	NUM
easat-5666	89	2	max	max	NOUN
easat-5666	89	3	depth	depth	NOUN
easat-5666	89	4	of	of	ADP
easat-5666	89	5	trees	tree	NOUN
easat-5666	89	6	–	–	PUNCT
easat-5666	89	7	limited	limit	VERB
easat-5666	89	8	to	to	PART
easat-5666	89	9	prevent	prevent	VERB
easat-5666	89	10	overfitting	overfitting	NOUN
easat-5666	89	11	,	,	PUNCT
easat-5666	89	12	the	the	DET
easat-5666	89	13	best	good	ADJ
easat-5666	89	14	depth	depth	NOUN
easat-5666	89	15	was	be	AUX
easat-5666	89	16	set	set	VERB
easat-5666	89	17	at	at	ADP
easat-5666	89	18	10	10	NUM
easat-5666	89	19	.	.	PUNCT
easat-5666	90	1	•	•	NUM
easat-5666	90	2	minimum	minimum	NOUN
easat-5666	90	3	samples	sample	NOUN
easat-5666	90	4	split	split	VERB
easat-5666	90	5	–	–	PUNCT
easat-5666	90	6	defined	define	VERB
easat-5666	90	7	at	at	ADP
easat-5666	90	8	5	5	NUM
easat-5666	90	9	to	to	PART
easat-5666	90	10	ensure	ensure	VERB
easat-5666	90	11	meaningful	meaningful	ADJ
easat-5666	90	12	splits	split	NOUN
easat-5666	90	13	in	in	ADP
easat-5666	90	14	data	datum	NOUN
easat-5666	90	15	.	.	PUNCT
easat-5666	91	1	•	•	NUM
easat-5666	91	2	feature	feature	NOUN
easat-5666	91	3	selection	selection	NOUN
easat-5666	91	4	per	per	ADP
easat-5666	91	5	split	split	NOUN
easat-5666	91	6	–	–	PUNCT
easat-5666	91	7	the	the	DET
easat-5666	91	8	optimal	optimal	ADJ
easat-5666	91	9	number	number	NOUN
easat-5666	91	10	of	of	ADP
easat-5666	91	11	features	feature	NOUN
easat-5666	91	12	per	per	ADP
easat-5666	91	13	split	split	NOUN
easat-5666	91	14	was	be	AUX
easat-5666	91	15	determined	determine	VERB
easat-5666	91	16	dynamically	dynamically	ADV
easat-5666	91	17	.	.	PUNCT
easat-5666	92	1	according	accord	VERB
easat-5666	92	2	to	to	ADP
easat-5666	92	3	the	the	DET
easat-5666	92	4	training	training	NOUN
easat-5666	92	5	phase	phase	NOUN
easat-5666	92	6	of	of	ADP
easat-5666	92	7	the	the	DET
easat-5666	92	8	random	random	ADJ
easat-5666	92	9	forest	forest	NOUN
easat-5666	92	10	model	model	NOUN
easat-5666	92	11	;	;	PUNCT
easat-5666	92	12	the	the	DET
easat-5666	92	13	model	model	NOUN
easat-5666	92	14	was	be	AUX
easat-5666	92	15	trained	train	VERB
easat-5666	92	16	on	on	ADP
easat-5666	92	17	the	the	DET
easat-5666	92	18	selected	select	VERB
easat-5666	92	19	features	feature	NOUN
easat-5666	92	20	using	use	VERB
easat-5666	92	21	the	the	DET
easat-5666	92	22	optimized	optimize	VERB
easat-5666	92	23	hyperparameters	hyperparameter	NOUN
easat-5666	92	24	.	.	PUNCT
easat-5666	93	1	the	the	DET
easat-5666	93	2	rf	rf	ADJ
easat-5666	93	3	algorithm	algorithm	NOUN
easat-5666	93	4	created	create	VERB
easat-5666	93	5	multiple	multiple	ADJ
easat-5666	93	6	decision	decision	NOUN
easat-5666	93	7	trees	tree	NOUN
easat-5666	93	8	,	,	PUNCT
easat-5666	93	9	where	where	SCONJ
easat-5666	93	10	each	each	DET
easat-5666	93	11	tree	tree	NOUN
easat-5666	93	12	independently	independently	ADV
easat-5666	93	13	predicted	predict	VERB
easat-5666	93	14	obesity	obesity	NOUN
easat-5666	93	15	status	status	NOUN
easat-5666	93	16	based	base	VERB
easat-5666	93	17	on	on	ADP
easat-5666	93	18	input	input	NOUN
easat-5666	93	19	features	feature	NOUN
easat-5666	93	20	.	.	PUNCT
easat-5666	94	1	the	the	DET
easat-5666	94	2	final	final	ADJ
easat-5666	94	3	classification	classification	NOUN
easat-5666	94	4	was	be	AUX
easat-5666	94	5	determined	determine	VERB
easat-5666	94	6	using	use	VERB
easat-5666	94	7	majority	majority	NOUN
easat-5666	94	8	voting	voting	NOUN
easat-5666	94	9	across	across	ADP
easat-5666	94	10	all	all	DET
easat-5666	94	11	trees	tree	NOUN
easat-5666	94	12	.	.	PUNCT
easat-5666	95	1	2.3.2	2.3.2	NUM
easat-5666	95	2	.	.	X
easat-5666	96	1	k	k	X
easat-5666	96	2	-	-	PUNCT
easat-5666	96	3	nearest	near	ADJ
easat-5666	96	4	neighbor	neighbor	NOUN
easat-5666	96	5	(	(	PUNCT
easat-5666	96	6	knn	knn	PROPN
easat-5666	96	7	)	)	PUNCT
easat-5666	96	8	the	the	DET
easat-5666	96	9	k	k	NOUN
easat-5666	96	10	-	-	PUNCT
easat-5666	96	11	nearest	near	ADJ
easat-5666	96	12	neighbors	neighbor	NOUN
easat-5666	96	13	(	(	PUNCT
easat-5666	96	14	k	k	X
easat-5666	96	15	-	-	PUNCT
easat-5666	96	16	nn	nn	ADJ
easat-5666	96	17	)	)	PUNCT
easat-5666	96	18	algorithm	algorithm	NOUN
easat-5666	96	19	is	be	AUX
easat-5666	96	20	a	a	DET
easat-5666	96	21	simple	simple	ADJ
easat-5666	96	22	yet	yet	CCONJ
easat-5666	96	23	powerful	powerful	ADJ
easat-5666	96	24	machine	machine	NOUN
easat-5666	96	25	learning	learning	NOUN
easat-5666	96	26	technique	technique	NOUN
easat-5666	96	27	used	use	VERB
easat-5666	96	28	for	for	ADP
easat-5666	96	29	both	both	CCONJ
easat-5666	96	30	classification	classification	NOUN
easat-5666	96	31	and	and	CCONJ
easat-5666	96	32	regression	regression	NOUN
easat-5666	96	33	tasks	task	NOUN
easat-5666	96	34	[	[	X
easat-5666	96	35	9	9	NUM
easat-5666	96	36	]	]	PUNCT
easat-5666	96	37	.	.	PUNCT
easat-5666	97	1	in	in	ADP
easat-5666	97	2	the	the	DET
easat-5666	97	3	context	context	NOUN
easat-5666	97	4	of	of	ADP
easat-5666	97	5	obesity	obesity	NOUN
easat-5666	97	6	detection	detection	NOUN
easat-5666	97	7	in	in	ADP
easat-5666	97	8	rats	rat	NOUN
easat-5666	97	9	,	,	PUNCT
easat-5666	97	10	k	k	PROPN
easat-5666	97	11	-	-	PUNCT
easat-5666	97	12	nn	nn	PROPN
easat-5666	97	13	classifies	classify	VERB
easat-5666	97	14	rats	rat	NOUN
easat-5666	97	15	as	as	ADP
easat-5666	97	16	either	either	CCONJ
easat-5666	97	17	obese	obese	ADJ
easat-5666	97	18	or	or	CCONJ
easat-5666	97	19	non	non	ADJ
easat-5666	97	20	-	-	ADJ
easat-5666	97	21	obese	obese	NOUN
easat-5666	97	22	based	base	VERB
easat-5666	97	23	on	on	ADP
easat-5666	97	24	the	the	DET
easat-5666	97	25	similarity	similarity	NOUN
easat-5666	97	26	of	of	ADP
easat-5666	97	27	their	their	PRON
easat-5666	97	28	physiological	physiological	ADJ
easat-5666	97	29	and	and	CCONJ
easat-5666	97	30	metabolic	metabolic	NOUN
easat-5666	97	31	features	feature	NOUN
easat-5666	97	32	to	to	ADP
easat-5666	97	33	those	those	PRON
easat-5666	97	34	of	of	ADP
easat-5666	97	35	other	other	ADJ
easat-5666	97	36	rats	rat	NOUN
easat-5666	97	37	in	in	ADP
easat-5666	97	38	the	the	DET
easat-5666	97	39	dataset	dataset	NOUN
easat-5666	97	40	.	.	PUNCT
easat-5666	98	1	by	by	ADP
easat-5666	98	2	analyzing	analyze	VERB
easat-5666	98	3	the	the	DET
easat-5666	98	4	'	'	PUNCT
easat-5666	98	5	k	k	NOUN
easat-5666	98	6	'	'	PUNCT
easat-5666	98	7	nearest	near	ADJ
easat-5666	98	8	neighbors	neighbor	NOUN
easat-5666	98	9	(	(	PUNCT
easat-5666	98	10	data	data	NOUN
easat-5666	98	11	points	point	NOUN
easat-5666	98	12	)	)	PUNCT
easat-5666	98	13	of	of	ADP
easat-5666	98	14	a	a	DET
easat-5666	98	15	given	give	VERB
easat-5666	98	16	test	test	NOUN
easat-5666	98	17	sample	sample	NOUN
easat-5666	98	18	,	,	PUNCT
easat-5666	98	19	k	k	PROPN
easat-5666	98	20	-	-	PUNCT
easat-5666	98	21	nn	nn	PROPN
easat-5666	98	22	predicts	predict	VERB
easat-5666	98	23	the	the	DET
easat-5666	98	24	class	class	NOUN
easat-5666	98	25	label	label	NOUN
easat-5666	98	26	based	base	VERB
easat-5666	98	27	on	on	ADP
easat-5666	98	28	majority	majority	NOUN
easat-5666	98	29	voting	voting	NOUN
easat-5666	98	30	among	among	ADP
easat-5666	98	31	the	the	DET
easat-5666	98	32	nearest	near	ADJ
easat-5666	98	33	neighbors	neighbor	NOUN
easat-5666	98	34	[	[	X
easat-5666	98	35	10	10	NUM
easat-5666	98	36	]	]	PUNCT
easat-5666	98	37	.	.	PUNCT
easat-5666	99	1	unlike	unlike	ADP
easat-5666	99	2	other	other	ADJ
easat-5666	99	3	models	model	NOUN
easat-5666	99	4	that	that	PRON
easat-5666	99	5	require	require	VERB
easat-5666	99	6	complex	complex	ADJ
easat-5666	99	7	training	training	NOUN
easat-5666	99	8	phases	phase	NOUN
easat-5666	99	9	,	,	PUNCT
easat-5666	99	10	k	k	PROPN
easat-5666	99	11	-	-	PUNCT
easat-5666	99	12	nn	nn	PROPN
easat-5666	99	13	is	be	AUX
easat-5666	99	14	a	a	DET
easat-5666	99	15	lazy	lazy	ADJ
easat-5666	99	16	learner	learner	NOUN
easat-5666	99	17	,	,	PUNCT
easat-5666	99	18	meaning	mean	VERB
easat-5666	99	19	it	it	PRON
easat-5666	99	20	does	do	AUX
easat-5666	99	21	not	not	PART
easat-5666	99	22	learn	learn	VERB
easat-5666	99	23	a	a	DET
easat-5666	99	24	model	model	NOUN
easat-5666	99	25	during	during	ADP
easat-5666	99	26	the	the	DET
easat-5666	99	27	training	training	NOUN
easat-5666	99	28	phase	phase	NOUN
easat-5666	99	29	but	but	CCONJ
easat-5666	99	30	instead	instead	ADV
easat-5666	99	31	memorizes	memorize	VERB
easat-5666	99	32	the	the	DET
easat-5666	99	33	entire	entire	ADJ
easat-5666	99	34	dataset	dataset	NOUN
easat-5666	99	35	[	[	X
easat-5666	99	36	11	11	NUM
easat-5666	99	37	]	]	PUNCT
easat-5666	99	38	.	.	PUNCT
easat-5666	100	1	when	when	SCONJ
easat-5666	100	2	making	make	VERB
easat-5666	100	3	a	a	DET
easat-5666	100	4	prediction	prediction	NOUN
easat-5666	100	5	,	,	PUNCT
easat-5666	100	6	k	k	PROPN
easat-5666	100	7	-	-	PUNCT
easat-5666	100	8	nn	nn	PROPN
easat-5666	100	9	calculates	calculate	VERB
easat-5666	100	10	the	the	DET
easat-5666	100	11	distances	distance	NOUN
easat-5666	100	12	between	between	ADP
easat-5666	100	13	the	the	DET
easat-5666	100	14	test	test	NOUN
easat-5666	100	15	sample	sample	NOUN
easat-5666	100	16	and	and	CCONJ
easat-5666	100	17	all	all	DET
easat-5666	100	18	training	training	NOUN
easat-5666	100	19	samples	sample	NOUN
easat-5666	100	20	and	and	CCONJ
easat-5666	100	21	uses	use	VERB
easat-5666	100	22	the	the	DET
easat-5666	100	23	nearest	near	ADJ
easat-5666	100	24	neighbors	neighbor	NOUN
easat-5666	100	25	to	to	PART
easat-5666	100	26	determine	determine	VERB
easat-5666	100	27	the	the	DET
easat-5666	100	28	class	class	NOUN
easat-5666	100	29	label	label	NOUN
easat-5666	100	30	.	.	PUNCT
easat-5666	101	1	for	for	ADP
easat-5666	101	2	the	the	DET
easat-5666	101	3	preprocessing	preprocessing	NOUN
easat-5666	101	4	steps	step	NOUN
easat-5666	101	5	of	of	ADP
easat-5666	101	6	knn	knn	PROPN
easat-5666	101	7	model	model	PROPN
easat-5666	101	8	:	:	PUNCT
easat-5666	101	9	•	•	NUM
easat-5666	101	10	data	datum	NOUN
easat-5666	101	11	cleaning	cleaning	NOUN
easat-5666	101	12	–	–	PUNCT
easat-5666	101	13	missing	miss	VERB
easat-5666	101	14	values	value	NOUN
easat-5666	101	15	were	be	AUX
easat-5666	101	16	handled	handle	VERB
easat-5666	101	17	with	with	ADP
easat-5666	101	18	mean	mean	ADJ
easat-5666	101	19	imputation	imputation	NOUN
easat-5666	101	20	,	,	PUNCT
easat-5666	101	21	and	and	CCONJ
easat-5666	101	22	rows	row	VERB
easat-5666	101	23	with	with	ADP
easat-5666	101	24	substantial	substantial	ADJ
easat-5666	101	25	missing	missing	ADJ
easat-5666	101	26	data	datum	NOUN
easat-5666	101	27	were	be	AUX
easat-5666	101	28	removed	remove	VERB
easat-5666	101	29	.	.	PUNCT
easat-5666	102	1	•	•	NUM
easat-5666	102	2	normalization	normalization	NOUN
easat-5666	102	3	–	–	PUNCT
easat-5666	102	4	since	since	SCONJ
easat-5666	102	5	k	k	PROPN
easat-5666	102	6	-	-	PUNCT
easat-5666	102	7	nn	nn	PROPN
easat-5666	102	8	is	be	AUX
easat-5666	102	9	sensitive	sensitive	ADJ
easat-5666	102	10	to	to	ADP
easat-5666	102	11	differences	difference	NOUN
easat-5666	102	12	in	in	ADP
easat-5666	102	13	feature	feature	NOUN
easat-5666	102	14	scales	scale	NOUN
easat-5666	102	15	,	,	PUNCT
easat-5666	102	16	data	datum	NOUN
easat-5666	102	17	normalization	normalization	NOUN
easat-5666	102	18	was	be	AUX
easat-5666	102	19	performed	perform	VERB
easat-5666	102	20	(	(	PUNCT
easat-5666	102	21	e.g.	e.g.	ADV
easat-5666	102	22	,	,	PUNCT
easat-5666	102	23	min	min	ADJ
easat-5666	102	24	-	-	ADJ
easat-5666	102	25	max	max	ADJ
easat-5666	102	26	scaling	scaling	NOUN
easat-5666	102	27	or	or	CCONJ
easat-5666	102	28	z	z	NOUN
easat-5666	102	29	-	-	PUNCT
easat-5666	102	30	score	score	NOUN
easat-5666	102	31	normalization	normalization	NOUN
easat-5666	102	32	)	)	PUNCT
easat-5666	102	33	to	to	PART
easat-5666	102	34	ensure	ensure	VERB
easat-5666	102	35	all	all	DET
easat-5666	102	36	features	feature	NOUN
easat-5666	102	37	contribute	contribute	VERB
easat-5666	102	38	equally	equally	ADV
easat-5666	102	39	.	.	PUNCT
easat-5666	103	1	•	•	NUM
easat-5666	103	2	feature	feature	NOUN
easat-5666	103	3	selection	selection	NOUN
easat-5666	103	4	–	–	PUNCT
easat-5666	103	5	relevant	relevant	ADJ
easat-5666	103	6	features	feature	NOUN
easat-5666	103	7	were	be	AUX
easat-5666	103	8	selected	select	VERB
easat-5666	103	9	based	base	VERB
easat-5666	103	10	on	on	ADP
easat-5666	103	11	their	their	PRON
easat-5666	103	12	relationship	relationship	NOUN
easat-5666	103	13	to	to	ADP
easat-5666	103	14	obesity	obesity	NOUN
easat-5666	103	15	status	status	NOUN
easat-5666	103	16	using	use	VERB
easat-5666	103	17	feature	feature	NOUN
easat-5666	103	18	selection	selection	NOUN
easat-5666	103	19	techniques	technique	NOUN
easat-5666	103	20	.	.	PUNCT
easat-5666	104	1	1669	1669	NUM
easat-5666	104	2	edelweiss	edelweiss	PROPN
easat-5666	104	3	applied	apply	VERB
easat-5666	104	4	science	science	NOUN
easat-5666	104	5	and	and	CCONJ
easat-5666	104	6	technology	technology	NOUN
easat-5666	104	7	issn	issn	PROPN
easat-5666	104	8	:	:	PUNCT
easat-5666	104	9	2576	2576	NUM
easat-5666	104	10	-	-	SYM
easat-5666	104	11	8484	8484	NUM
easat-5666	104	12	vol	vol	NOUN
easat-5666	104	13	.	.	PROPN
easat-5666	105	1	9	9	NUM
easat-5666	105	2	,	,	PUNCT
easat-5666	105	3	no	no	INTJ
easat-5666	105	4	.	.	NOUN
easat-5666	106	1	3	3	NUM
easat-5666	106	2	:	:	PUNCT
easat-5666	106	3	1665	1665	NUM
easat-5666	106	4	-	-	SYM
easat-5666	106	5	1674	1674	NUM
easat-5666	106	6	,	,	PUNCT
easat-5666	106	7	2025	2025	NUM
easat-5666	106	8	doi	doi	NOUN
easat-5666	106	9	:	:	PUNCT
easat-5666	106	10	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	106	11	©	©	NOUN
easat-5666	106	12	2025	2025	NUM
easat-5666	106	13	by	by	ADP
easat-5666	106	14	the	the	DET
easat-5666	106	15	authors	author	NOUN
easat-5666	106	16	;	;	PUNCT
easat-5666	106	17	licensee	licensee	PROPN
easat-5666	106	18	learning	learning	NOUN
easat-5666	106	19	gate	gate	NOUN
easat-5666	106	20	once	once	SCONJ
easat-5666	106	21	the	the	DET
easat-5666	106	22	data	datum	NOUN
easat-5666	106	23	was	be	AUX
easat-5666	106	24	cleaned	clean	VERB
easat-5666	106	25	and	and	CCONJ
easat-5666	106	26	preprocessed	preprocesse	VERB
easat-5666	106	27	,	,	PUNCT
easat-5666	106	28	it	it	PRON
easat-5666	106	29	was	be	AUX
easat-5666	106	30	divided	divide	VERB
easat-5666	106	31	into	into	ADP
easat-5666	106	32	a	a	DET
easat-5666	106	33	training	training	NOUN
easat-5666	106	34	set	set	NOUN
easat-5666	106	35	(	(	PUNCT
easat-5666	106	36	70	70	NUM
easat-5666	106	37	%	%	NOUN
easat-5666	106	38	)	)	PUNCT
easat-5666	106	39	and	and	CCONJ
easat-5666	106	40	a	a	DET
easat-5666	106	41	test	test	NOUN
easat-5666	106	42	set	set	NOUN
easat-5666	106	43	(	(	PUNCT
easat-5666	106	44	30	30	NUM
easat-5666	106	45	%	%	NOUN
easat-5666	106	46	)	)	PUNCT
easat-5666	106	47	for	for	ADP
easat-5666	106	48	model	model	NOUN
easat-5666	106	49	evaluation	evaluation	NOUN
easat-5666	106	50	.	.	PUNCT
easat-5666	107	1	for	for	ADP
easat-5666	107	2	implementing	implement	VERB
easat-5666	107	3	the	the	DET
easat-5666	107	4	k	k	PROPN
easat-5666	107	5	-	-	PUNCT
easat-5666	107	6	nn	nn	ADJ
easat-5666	107	7	model	model	NOUN
easat-5666	107	8	for	for	ADP
easat-5666	107	9	obesity	obesity	NOUN
easat-5666	107	10	detection	detection	NOUN
easat-5666	107	11	;	;	PUNCT
easat-5666	107	12	2.3.3	2.3.3	NUM
easat-5666	107	13	.	.	PUNCT
easat-5666	107	14	distance	distance	NOUN
easat-5666	107	15	metric	metric	ADJ
easat-5666	107	16	k	k	PROPN
easat-5666	107	17	-	-	PUNCT
easat-5666	107	18	nn	nn	PROPN
easat-5666	107	19	relies	rely	VERB
easat-5666	107	20	on	on	ADP
easat-5666	107	21	a	a	DET
easat-5666	107	22	distance	distance	NOUN
easat-5666	107	23	metric	metric	ADJ
easat-5666	107	24	to	to	PART
easat-5666	107	25	measure	measure	VERB
easat-5666	107	26	the	the	DET
easat-5666	107	27	similarity	similarity	NOUN
easat-5666	107	28	between	between	ADP
easat-5666	107	29	data	datum	NOUN
easat-5666	107	30	points	point	NOUN
easat-5666	107	31	.	.	PUNCT
easat-5666	108	1	the	the	DET
easat-5666	108	2	most	most	ADV
easat-5666	108	3	commonly	commonly	ADV
easat-5666	108	4	used	use	VERB
easat-5666	108	5	distance	distance	NOUN
easat-5666	108	6	metric	metric	NOUN
easat-5666	108	7	is	be	AUX
easat-5666	108	8	euclidean	euclidean	ADJ
easat-5666	108	9	distance	distance	NOUN
easat-5666	108	10	,	,	PUNCT
easat-5666	108	11	but	but	CCONJ
easat-5666	108	12	other	other	ADJ
easat-5666	108	13	metrics	metric	NOUN
easat-5666	108	14	like	like	ADP
easat-5666	108	15	manhattan	manhattan	PROPN
easat-5666	108	16	distance	distance	NOUN
easat-5666	108	17	or	or	CCONJ
easat-5666	108	18	minkowski	minkowski	ADJ
easat-5666	108	19	distance	distance	NOUN
easat-5666	108	20	can	can	AUX
easat-5666	108	21	also	also	ADV
easat-5666	108	22	be	be	AUX
easat-5666	108	23	used	use	VERB
easat-5666	108	24	,	,	PUNCT
easat-5666	108	25	depending	depend	VERB
easat-5666	108	26	on	on	ADP
easat-5666	108	27	the	the	DET
easat-5666	108	28	problem	problem	NOUN
easat-5666	108	29	's	's	PART
easat-5666	108	30	natüre	natüre	NOUN
easat-5666	108	31	[	[	X
easat-5666	108	32	12	12	NUM
easat-5666	108	33	]	]	PUNCT
easat-5666	108	34	.	.	PUNCT
easat-5666	109	1	•	•	NUM
easat-5666	109	2	euclidean	euclidean	ADJ
easat-5666	109	3	distance	distance	NOUN
easat-5666	109	4	between	between	ADP
easat-5666	109	5	two	two	NUM
easat-5666	109	6	data	datum	NOUN
easat-5666	109	7	points	point	NOUN
easat-5666	109	8	x1=(x1	x1=(x1	PROPN
easat-5666	109	9	,	,	PUNCT
easat-5666	109	10	x2	x2	PROPN
easat-5666	109	11	,	,	PUNCT
easat-5666	109	12	…	…	PUNCT
easat-5666	109	13	,	,	PUNCT
easat-5666	109	14	xn	xn	NUM
easat-5666	109	15	)	)	PUNCT
easat-5666	109	16	and	and	CCONJ
easat-5666	109	17	x2=(x1	x2=(x1	PROPN
easat-5666	109	18	,	,	PUNCT
easat-5666	109	19	x2	x2	PROPN
easat-5666	109	20	,	,	PUNCT
easat-5666	109	21	…	…	PUNCT
easat-5666	109	22	,	,	PUNCT
easat-5666	109	23	xn	xn	X
easat-5666	109	24	)	)	PUNCT
easat-5666	109	25	is	be	AUX
easat-5666	109	26	calculated	calculate	VERB
easat-5666	109	27	as	as	ADP
easat-5666	109	28	formula	formula	NOUN
easat-5666	109	29	(	(	PUNCT
easat-5666	109	30	1.1	1.1	NUM
easat-5666	109	31	):	):	PUNCT
easat-5666	109	32	𝑑(𝑥1	𝑑(𝑥1	ADJ
easat-5666	109	33	,	,	PUNCT
easat-5666	109	34	𝑥2	𝑥2	NOUN
easat-5666	109	35	)	)	PUNCT
easat-5666	109	36	=	=	PUNCT
easat-5666	109	37	√(𝑥1	√(𝑥1	PROPN
easat-5666	109	38	−	−	PROPN
easat-5666	109	39	𝑥1)2	𝑥1)2	X
easat-5666	109	40	+	+	CCONJ
easat-5666	109	41	(	(	PUNCT
easat-5666	109	42	𝑥2	𝑥2	NOUN
easat-5666	109	43	−	−	PROPN
easat-5666	109	44	𝑥2)2	𝑥2)2	NOUN
easat-5666	109	45	+	+	CCONJ
easat-5666	109	46	⋯	⋯	VERB
easat-5666	109	47	+	+	CCONJ
easat-5666	109	48	(	(	PUNCT
easat-5666	109	49	𝑥𝑛	𝑥𝑛	PROPN
easat-5666	109	50	−	−	PROPN
easat-5666	109	51	𝑥𝑛)2	𝑥𝑛)2	PROPN
easat-5666	109	52	(	(	PUNCT
easat-5666	109	53	1.1	1.1	NUM
easat-5666	109	54	)	)	PUNCT
easat-5666	109	55	•	•	NOUN
easat-5666	109	56	the	the	DET
easat-5666	109	57	algorithm	algorithm	NOUN
easat-5666	109	58	then	then	ADV
easat-5666	109	59	identifies	identify	VERB
easat-5666	109	60	the	the	DET
easat-5666	109	61	'	'	PUNCT
easat-5666	109	62	k	k	NOUN
easat-5666	109	63	'	'	PUNCT
easat-5666	109	64	closest	close	ADJ
easat-5666	109	65	neighbors	neighbor	NOUN
easat-5666	109	66	to	to	ADP
easat-5666	109	67	the	the	DET
easat-5666	109	68	test	test	NOUN
easat-5666	109	69	sample	sample	NOUN
easat-5666	109	70	,	,	PUNCT
easat-5666	109	71	where	where	SCONJ
easat-5666	109	72	'	'	PUNCT
easat-5666	109	73	k	k	X
easat-5666	109	74	'	'	PUNCT
easat-5666	109	75	is	be	AUX
easat-5666	109	76	a	a	DET
easat-5666	109	77	hyperparameter	hyperparameter	NOUN
easat-5666	109	78	that	that	PRON
easat-5666	109	79	needs	need	VERB
easat-5666	109	80	to	to	PART
easat-5666	109	81	be	be	AUX
easat-5666	109	82	selected	select	VERB
easat-5666	109	83	carefully	carefully	ADV
easat-5666	109	84	.	.	PUNCT
easat-5666	110	1	2.3.4	2.3.4	X
easat-5666	110	2	.	.	PUNCT
easat-5666	111	1	choosing	choose	VERB
easat-5666	111	2	the	the	DET
easat-5666	111	3	value	value	NOUN
easat-5666	111	4	of	of	ADP
easat-5666	111	5	'	'	PUNCT
easat-5666	111	6	k	k	NOUN
easat-5666	111	7	'	'	PUNCT
easat-5666	111	8	the	the	DET
easat-5666	111	9	value	value	NOUN
easat-5666	111	10	of	of	ADP
easat-5666	111	11	k	k	PROPN
easat-5666	111	12	(	(	PUNCT
easat-5666	111	13	the	the	DET
easat-5666	111	14	number	number	NOUN
easat-5666	111	15	of	of	ADP
easat-5666	111	16	nearest	near	ADJ
easat-5666	111	17	neighbors	neighbor	NOUN
easat-5666	111	18	)	)	PUNCT
easat-5666	111	19	significantly	significantly	ADV
easat-5666	111	20	influences	influence	VERB
easat-5666	111	21	the	the	DET
easat-5666	111	22	model	model	NOUN
easat-5666	111	23	's	's	PART
easat-5666	111	24	performance	performance	NOUN
easat-5666	111	25	.	.	PUNCT
easat-5666	112	1	if	if	SCONJ
easat-5666	112	2	k	k	PROPN
easat-5666	112	3	is	be	AUX
easat-5666	112	4	too	too	ADV
easat-5666	112	5	small	small	ADJ
easat-5666	112	6	,	,	PUNCT
easat-5666	112	7	the	the	DET
easat-5666	112	8	model	model	NOUN
easat-5666	112	9	becomes	become	VERB
easat-5666	112	10	sensitive	sensitive	ADJ
easat-5666	112	11	to	to	PART
easat-5666	112	12	noise	noise	VERB
easat-5666	112	13	in	in	ADP
easat-5666	112	14	the	the	DET
easat-5666	112	15	dataset	dataset	NOUN
easat-5666	112	16	(	(	PUNCT
easat-5666	112	17	overfitting	overfitting	NOUN
easat-5666	112	18	)	)	PUNCT
easat-5666	112	19	.	.	PUNCT
easat-5666	113	1	if	if	SCONJ
easat-5666	113	2	k	k	PROPN
easat-5666	113	3	is	be	AUX
easat-5666	113	4	too	too	ADV
easat-5666	113	5	large	large	ADJ
easat-5666	113	6	,	,	PUNCT
easat-5666	113	7	the	the	DET
easat-5666	113	8	model	model	NOUN
easat-5666	113	9	may	may	AUX
easat-5666	113	10	lose	lose	VERB
easat-5666	113	11	the	the	DET
easat-5666	113	12	ability	ability	NOUN
easat-5666	113	13	to	to	PART
easat-5666	113	14	detect	detect	VERB
easat-5666	113	15	subtle	subtle	ADJ
easat-5666	113	16	patterns	pattern	NOUN
easat-5666	113	17	and	and	CCONJ
easat-5666	113	18	underperform	underperform	NOUN
easat-5666	113	19	(	(	PUNCT
easat-5666	113	20	underfitting	underfitting	NOUN
easat-5666	113	21	)	)	PUNCT
easat-5666	113	22	.	.	PUNCT
easat-5666	114	1	typically	typically	ADV
easat-5666	114	2	,	,	PUNCT
easat-5666	114	3	k	k	PROPN
easat-5666	114	4	is	be	AUX
easat-5666	114	5	chosen	choose	VERB
easat-5666	114	6	through	through	ADP
easat-5666	114	7	experimentation	experimentation	NOUN
easat-5666	114	8	or	or	CCONJ
easat-5666	114	9	cross	cross	NOUN
easat-5666	114	10	-	-	ADJ
easat-5666	114	11	validation	validation	ADJ
easat-5666	114	12	[	[	X
easat-5666	114	13	13	13	NUM
easat-5666	114	14	]	]	PUNCT
easat-5666	114	15	.	.	PUNCT
easat-5666	115	1	in	in	ADP
easat-5666	115	2	this	this	DET
easat-5666	115	3	study	study	NOUN
easat-5666	115	4	,	,	PUNCT
easat-5666	115	5	multiple	multiple	ADJ
easat-5666	115	6	values	value	NOUN
easat-5666	115	7	of	of	ADP
easat-5666	115	8	k	k	PROPN
easat-5666	115	9	were	be	AUX
easat-5666	115	10	tested	test	VERB
easat-5666	115	11	,	,	PUNCT
easat-5666	115	12	and	and	CCONJ
easat-5666	115	13	the	the	DET
easat-5666	115	14	optimal	optimal	ADJ
easat-5666	115	15	k	k	PROPN
easat-5666	115	16	was	be	AUX
easat-5666	115	17	determined	determine	VERB
easat-5666	115	18	based	base	VERB
easat-5666	115	19	on	on	ADP
easat-5666	115	20	the	the	DET
easat-5666	115	21	highest	high	ADJ
easat-5666	115	22	performance	performance	NOUN
easat-5666	115	23	metrics	metric	NOUN
easat-5666	115	24	(	(	PUNCT
easat-5666	115	25	accuracy	accuracy	NOUN
easat-5666	115	26	,	,	PUNCT
easat-5666	115	27	precision	precision	NOUN
easat-5666	115	28	,	,	PUNCT
easat-5666	115	29	recall	recall	NOUN
easat-5666	115	30	)	)	PUNCT
easat-5666	115	31	.	.	PUNCT
easat-5666	116	1	2.3.5	2.3.5	NUM
easat-5666	116	2	.	.	PUNCT
easat-5666	116	3	classification	classification	NOUN
easat-5666	116	4	process	process	NOUN
easat-5666	116	5	•	•	ADP
easat-5666	116	6	the	the	DET
easat-5666	116	7	k	k	PROPN
easat-5666	116	8	-	-	PUNCT
easat-5666	116	9	nn	nn	ADJ
easat-5666	116	10	algorithm	algorithm	NOUN
easat-5666	116	11	calculates	calculate	VERB
easat-5666	116	12	the	the	DET
easat-5666	116	13	distance	distance	NOUN
easat-5666	116	14	between	between	ADP
easat-5666	116	15	the	the	DET
easat-5666	116	16	test	test	NOUN
easat-5666	116	17	sample	sample	NOUN
easat-5666	116	18	and	and	CCONJ
easat-5666	116	19	every	every	DET
easat-5666	116	20	training	training	NOUN
easat-5666	116	21	sample	sample	NOUN
easat-5666	116	22	.	.	PUNCT
easat-5666	117	1	•	•	INTJ
easat-5666	117	2	it	it	PRON
easat-5666	117	3	selects	select	VERB
easat-5666	117	4	the	the	DET
easat-5666	117	5	k	k	PROPN
easat-5666	117	6	nearest	near	ADJ
easat-5666	117	7	neighbors	neighbor	NOUN
easat-5666	117	8	and	and	CCONJ
easat-5666	117	9	determines	determine	VERB
easat-5666	117	10	the	the	DET
easat-5666	117	11	majority	majority	NOUN
easat-5666	117	12	class	class	NOUN
easat-5666	117	13	among	among	ADP
easat-5666	117	14	them	they	PRON
easat-5666	117	15	(	(	PUNCT
easat-5666	117	16	either	either	CCONJ
easat-5666	117	17	obese	obese	ADJ
easat-5666	117	18	or	or	CCONJ
easat-5666	117	19	non	non	ADJ
easat-5666	117	20	-	-	ADJ
easat-5666	117	21	obese	obese	ADJ
easat-5666	117	22	)	)	PUNCT
easat-5666	117	23	.	.	PUNCT
easat-5666	118	1	•	•	NUM
easat-5666	118	2	the	the	DET
easat-5666	118	3	class	class	NOUN
easat-5666	118	4	with	with	ADP
easat-5666	118	5	the	the	DET
easat-5666	118	6	highest	high	ADJ
easat-5666	118	7	frequency	frequency	NOUN
easat-5666	118	8	among	among	ADP
easat-5666	118	9	the	the	DET
easat-5666	118	10	nearest	near	ADJ
easat-5666	118	11	neighbors	neighbor	NOUN
easat-5666	118	12	is	be	AUX
easat-5666	118	13	assigned	assign	VERB
easat-5666	118	14	to	to	ADP
easat-5666	118	15	the	the	DET
easat-5666	118	16	test	test	NOUN
easat-5666	118	17	sample	sample	NOUN
easat-5666	118	18	.	.	PUNCT
easat-5666	119	1	2.3.6	2.3.6	NUM
easat-5666	119	2	.	.	PUNCT
easat-5666	120	1	support	support	NOUN
easat-5666	120	2	vector	vector	NOUN
easat-5666	120	3	machine	machine	NOUN
easat-5666	120	4	(	(	PUNCT
easat-5666	120	5	svm	svm	PROPN
easat-5666	120	6	)	)	PUNCT
easat-5666	120	7	support	support	NOUN
easat-5666	120	8	vector	vector	NOUN
easat-5666	120	9	machine	machine	NOUN
easat-5666	120	10	(	(	PUNCT
easat-5666	120	11	svm	svm	PROPN
easat-5666	120	12	)	)	PUNCT
easat-5666	120	13	is	be	AUX
easat-5666	120	14	a	a	DET
easat-5666	120	15	robust	robust	ADJ
easat-5666	120	16	and	and	CCONJ
easat-5666	120	17	widely	widely	ADV
easat-5666	120	18	used	use	VERB
easat-5666	120	19	supervised	supervised	ADJ
easat-5666	120	20	machine	machine	NOUN
easat-5666	120	21	learning	learning	NOUN
easat-5666	120	22	algorithm	algorithm	NOUN
easat-5666	120	23	,	,	PUNCT
easat-5666	120	24	primarily	primarily	ADV
easat-5666	120	25	designed	design	VERB
easat-5666	120	26	for	for	ADP
easat-5666	120	27	classification	classification	NOUN
easat-5666	120	28	tasks	task	NOUN
easat-5666	120	29	,	,	PUNCT
easat-5666	120	30	though	though	SCONJ
easat-5666	120	31	it	it	PRON
easat-5666	120	32	can	can	AUX
easat-5666	120	33	also	also	ADV
easat-5666	120	34	be	be	AUX
easat-5666	120	35	used	use	VERB
easat-5666	120	36	for	for	ADP
easat-5666	120	37	regression	regression	NOUN
easat-5666	120	38	[	[	X
easat-5666	120	39	14	14	NUM
easat-5666	120	40	]	]	PUNCT
easat-5666	120	41	.	.	PUNCT
easat-5666	121	1	the	the	DET
easat-5666	121	2	svm	svm	PROPN
easat-5666	121	3	algorithm	algorithm	NOUN
easat-5666	121	4	works	work	VERB
easat-5666	121	5	by	by	ADP
easat-5666	121	6	finding	find	VERB
easat-5666	121	7	the	the	DET
easat-5666	121	8	optimal	optimal	ADJ
easat-5666	121	9	hyperplane	hyperplane	NOUN
easat-5666	121	10	that	that	PRON
easat-5666	121	11	best	well	ADV
easat-5666	121	12	separates	separate	VERB
easat-5666	121	13	data	datum	NOUN
easat-5666	121	14	points	point	NOUN
easat-5666	121	15	from	from	ADP
easat-5666	121	16	different	different	ADJ
easat-5666	121	17	classes	class	NOUN
easat-5666	121	18	in	in	ADP
easat-5666	121	19	a	a	DET
easat-5666	121	20	high	high	ADJ
easat-5666	121	21	-	-	PUNCT
easat-5666	121	22	dimensional	dimensional	ADJ
easat-5666	121	23	feature	feature	NOUN
easat-5666	121	24	space	space	NOUN
easat-5666	121	25	.	.	PUNCT
easat-5666	122	1	in	in	ADP
easat-5666	122	2	the	the	DET
easat-5666	122	3	context	context	NOUN
easat-5666	122	4	of	of	ADP
easat-5666	122	5	obesity	obesity	NOUN
easat-5666	122	6	detection	detection	NOUN
easat-5666	122	7	in	in	ADP
easat-5666	122	8	rats	rat	NOUN
easat-5666	122	9	,	,	PUNCT
easat-5666	122	10	svm	svm	NOUN
easat-5666	122	11	can	can	AUX
easat-5666	122	12	be	be	AUX
easat-5666	122	13	applied	apply	VERB
easat-5666	122	14	to	to	PART
easat-5666	122	15	classify	classify	VERB
easat-5666	122	16	rats	rat	NOUN
easat-5666	122	17	as	as	ADP
easat-5666	122	18	either	either	CCONJ
easat-5666	122	19	obese	obese	ADJ
easat-5666	122	20	or	or	CCONJ
easat-5666	122	21	non	non	ADJ
easat-5666	122	22	-	-	ADJ
easat-5666	122	23	obese	obese	NOUN
easat-5666	122	24	based	base	VERB
easat-5666	122	25	on	on	ADP
easat-5666	122	26	metabolic	metabolic	NOUN
easat-5666	122	27	and	and	CCONJ
easat-5666	122	28	physiological	physiological	ADJ
easat-5666	122	29	features	feature	NOUN
easat-5666	122	30	like	like	ADP
easat-5666	122	31	blood	blood	NOUN
easat-5666	122	32	markers	marker	NOUN
easat-5666	122	33	,	,	PUNCT
easat-5666	122	34	body	body	NOUN
easat-5666	122	35	weight	weight	NOUN
easat-5666	122	36	,	,	PUNCT
easat-5666	122	37	and	and	CCONJ
easat-5666	122	38	oxidative	oxidative	ADJ
easat-5666	122	39	stress	stress	NOUN
easat-5666	122	40	[	[	X
easat-5666	122	41	15	15	NUM
easat-5666	122	42	]	]	PUNCT
easat-5666	122	43	.	.	PUNCT
easat-5666	123	1	svm	svm	PROPN
easat-5666	123	2	is	be	AUX
easat-5666	123	3	particularly	particularly	ADV
easat-5666	123	4	effective	effective	ADJ
easat-5666	123	5	in	in	ADP
easat-5666	123	6	scenarios	scenario	NOUN
easat-5666	123	7	where	where	SCONJ
easat-5666	123	8	the	the	DET
easat-5666	123	9	data	data	NOUN
easat-5666	123	10	is	be	AUX
easat-5666	123	11	non	non	ADJ
easat-5666	123	12	-	-	ADJ
easat-5666	123	13	linearly	linearly	ADV
easat-5666	123	14	separable	separable	ADJ
easat-5666	123	15	by	by	ADP
easat-5666	123	16	transforming	transform	VERB
easat-5666	123	17	it	it	PRON
easat-5666	123	18	into	into	ADP
easat-5666	123	19	a	a	DET
easat-5666	123	20	higher	higher	ADV
easat-5666	123	21	-	-	PUNCT
easat-5666	123	22	dimensional	dimensional	ADJ
easat-5666	123	23	space	space	NOUN
easat-5666	123	24	using	use	VERB
easat-5666	123	25	a	a	DET
easat-5666	123	26	technique	technique	NOUN
easat-5666	123	27	called	call	VERB
easat-5666	123	28	the	the	DET
easat-5666	123	29	kernel	kernel	NOUN
easat-5666	123	30	trick	trick	NOUN
easat-5666	123	31	.	.	PUNCT
easat-5666	124	1	the	the	DET
easat-5666	124	2	algorithm	algorithm	NOUN
easat-5666	124	3	works	work	VERB
easat-5666	124	4	by	by	ADP
easat-5666	124	5	maximizing	maximize	VERB
easat-5666	124	6	the	the	DET
easat-5666	124	7	margin	margin	NOUN
easat-5666	124	8	between	between	ADP
easat-5666	124	9	the	the	DET
easat-5666	124	10	support	support	NOUN
easat-5666	124	11	vectors	vector	NOUN
easat-5666	124	12	(	(	PUNCT
easat-5666	124	13	the	the	DET
easat-5666	124	14	data	data	NOUN
easat-5666	124	15	points	point	VERB
easat-5666	124	16	closest	close	ADJ
easat-5666	124	17	to	to	ADP
easat-5666	124	18	the	the	DET
easat-5666	124	19	decision	decision	NOUN
easat-5666	124	20	boundary	boundary	NOUN
easat-5666	124	21	)	)	PUNCT
easat-5666	124	22	to	to	PART
easat-5666	124	23	enhance	enhance	VERB
easat-5666	124	24	generalization	generalization	NOUN
easat-5666	124	25	and	and	CCONJ
easat-5666	124	26	prevent	prevent	VERB
easat-5666	124	27	overfitting	overfitte	VERB
easat-5666	124	28	[	[	X
easat-5666	124	29	16	16	NUM
easat-5666	124	30	]	]	PUNCT
easat-5666	124	31	.	.	PUNCT
easat-5666	125	1	for	for	ADP
easat-5666	125	2	preprocessing	preprocesse	VERB
easat-5666	125	3	steps	step	NOUN
easat-5666	125	4	for	for	ADP
easat-5666	125	5	svm	svm	ADJ
easat-5666	125	6	model	model	NOUN
easat-5666	125	7	:	:	PUNCT
easat-5666	125	8	•	•	NUM
easat-5666	125	9	data	datum	NOUN
easat-5666	125	10	cleaning	cleaning	NOUN
easat-5666	125	11	–	–	PUNCT
easat-5666	125	12	missing	missing	ADJ
easat-5666	125	13	or	or	CCONJ
easat-5666	125	14	incomplete	incomplete	ADJ
easat-5666	125	15	data	datum	NOUN
easat-5666	125	16	were	be	AUX
easat-5666	125	17	handled	handle	VERB
easat-5666	125	18	by	by	ADP
easat-5666	125	19	removing	remove	VERB
easat-5666	125	20	rows	row	NOUN
easat-5666	125	21	with	with	ADP
easat-5666	125	22	substantial	substantial	ADJ
easat-5666	125	23	gaps	gap	NOUN
easat-5666	125	24	or	or	CCONJ
easat-5666	125	25	imputing	impute	VERB
easat-5666	125	26	missing	miss	VERB
easat-5666	125	27	values	value	NOUN
easat-5666	125	28	(	(	PUNCT
easat-5666	125	29	e.g.	e.g.	ADV
easat-5666	125	30	,	,	PUNCT
easat-5666	125	31	using	use	VERB
easat-5666	125	32	the	the	DET
easat-5666	125	33	mean	mean	NOUN
easat-5666	125	34	or	or	CCONJ
easat-5666	125	35	median	median	NOUN
easat-5666	125	36	of	of	ADP
easat-5666	125	37	the	the	DET
easat-5666	125	38	respective	respective	ADJ
easat-5666	125	39	feature	feature	NOUN
easat-5666	125	40	)	)	PUNCT
easat-5666	125	41	.	.	PUNCT
easat-5666	126	1	•	•	NUM
easat-5666	126	2	normalization	normalization	NOUN
easat-5666	126	3	–	–	PUNCT
easat-5666	126	4	since	since	SCONJ
easat-5666	126	5	svm	svm	NOUN
easat-5666	126	6	is	be	AUX
easat-5666	126	7	sensitive	sensitive	ADJ
easat-5666	126	8	to	to	ADP
easat-5666	126	9	the	the	DET
easat-5666	126	10	scale	scale	NOUN
easat-5666	126	11	of	of	ADP
easat-5666	126	12	data	datum	NOUN
easat-5666	126	13	,	,	PUNCT
easat-5666	126	14	min	min	PROPN
easat-5666	126	15	-	-	ADJ
easat-5666	126	16	max	max	PROPN
easat-5666	126	17	normalization	normalization	NOUN
easat-5666	126	18	or	or	CCONJ
easat-5666	126	19	z	z	NOUN
easat-5666	126	20	-	-	PUNCT
easat-5666	126	21	score	score	NOUN
easat-5666	126	22	standardization	standardization	NOUN
easat-5666	126	23	was	be	AUX
easat-5666	126	24	applied	apply	VERB
easat-5666	126	25	to	to	ADP
easat-5666	126	26	all	all	DET
easat-5666	126	27	features	feature	NOUN
easat-5666	126	28	,	,	PUNCT
easat-5666	126	29	ensuring	ensure	VERB
easat-5666	126	30	they	they	PRON
easat-5666	126	31	contribute	contribute	VERB
easat-5666	126	32	equally	equally	ADV
easat-5666	126	33	to	to	ADP
easat-5666	126	34	the	the	DET
easat-5666	126	35	model	model	NOUN
easat-5666	126	36	.	.	PUNCT
easat-5666	127	1	•	•	NUM
easat-5666	127	2	feature	feature	NOUN
easat-5666	127	3	selection	selection	NOUN
easat-5666	127	4	–	–	PUNCT
easat-5666	127	5	relevant	relevant	ADJ
easat-5666	127	6	features	feature	NOUN
easat-5666	127	7	were	be	AUX
easat-5666	127	8	selected	select	VERB
easat-5666	127	9	based	base	VERB
easat-5666	127	10	on	on	ADP
easat-5666	127	11	their	their	PRON
easat-5666	127	12	relationship	relationship	NOUN
easat-5666	127	13	with	with	ADP
easat-5666	127	14	obesity	obesity	NOUN
easat-5666	127	15	,	,	PUNCT
easat-5666	127	16	using	use	VERB
easat-5666	127	17	feature	feature	NOUN
easat-5666	127	18	selection	selection	NOUN
easat-5666	127	19	techniques	technique	NOUN
easat-5666	127	20	like	like	ADP
easat-5666	127	21	mutual	mutual	ADJ
easat-5666	127	22	information	information	NOUN
easat-5666	127	23	or	or	CCONJ
easat-5666	127	24	recursive	recursive	ADJ
easat-5666	127	25	feature	feature	NOUN
easat-5666	127	26	elimination	elimination	NOUN
easat-5666	127	27	.	.	PUNCT
easat-5666	128	1	•	•	NUM
easat-5666	128	2	train	train	NOUN
easat-5666	128	3	-	-	PUNCT
easat-5666	128	4	test	test	NOUN
easat-5666	128	5	split	split	NOUN
easat-5666	128	6	–	–	PUNCT
easat-5666	128	7	the	the	DET
easat-5666	128	8	dataset	dataset	NOUN
easat-5666	128	9	was	be	AUX
easat-5666	128	10	divided	divide	VERB
easat-5666	128	11	into	into	ADP
easat-5666	128	12	a	a	DET
easat-5666	128	13	training	training	NOUN
easat-5666	128	14	set	set	NOUN
easat-5666	128	15	(	(	PUNCT
easat-5666	128	16	70	70	NUM
easat-5666	128	17	%	%	NOUN
easat-5666	128	18	)	)	PUNCT
easat-5666	128	19	and	and	CCONJ
easat-5666	128	20	a	a	DET
easat-5666	128	21	test	test	NOUN
easat-5666	128	22	set	set	NOUN
easat-5666	128	23	(	(	PUNCT
easat-5666	128	24	30	30	NUM
easat-5666	128	25	%	%	NOUN
easat-5666	128	26	)	)	PUNCT
easat-5666	128	27	,	,	PUNCT
easat-5666	128	28	ensuring	ensure	VERB
easat-5666	128	29	that	that	SCONJ
easat-5666	128	30	model	model	NOUN
easat-5666	128	31	performance	performance	NOUN
easat-5666	128	32	could	could	AUX
easat-5666	128	33	be	be	AUX
easat-5666	128	34	evaluated	evaluate	VERB
easat-5666	128	35	on	on	ADP
easat-5666	128	36	unseen	unseen	ADJ
easat-5666	128	37	data	datum	NOUN
easat-5666	128	38	.	.	PUNCT
easat-5666	129	1	1670	1670	NUM
easat-5666	129	2	edelweiss	edelweiss	PROPN
easat-5666	129	3	applied	apply	VERB
easat-5666	129	4	science	science	NOUN
easat-5666	129	5	and	and	CCONJ
easat-5666	129	6	technology	technology	NOUN
easat-5666	129	7	issn	issn	PROPN
easat-5666	129	8	:	:	PUNCT
easat-5666	129	9	2576	2576	NUM
easat-5666	129	10	-	-	SYM
easat-5666	129	11	8484	8484	NUM
easat-5666	129	12	vol	vol	NOUN
easat-5666	129	13	.	.	PROPN
easat-5666	130	1	9	9	NUM
easat-5666	130	2	,	,	PUNCT
easat-5666	130	3	no	no	INTJ
easat-5666	130	4	.	.	NOUN
easat-5666	131	1	3	3	NUM
easat-5666	131	2	:	:	PUNCT
easat-5666	131	3	1665	1665	NUM
easat-5666	131	4	-	-	SYM
easat-5666	131	5	1674	1674	NUM
easat-5666	131	6	,	,	PUNCT
easat-5666	131	7	2025	2025	NUM
easat-5666	131	8	doi	doi	NOUN
easat-5666	131	9	:	:	PUNCT
easat-5666	131	10	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	131	11	©	©	NOUN
easat-5666	131	12	2025	2025	NUM
easat-5666	131	13	by	by	ADP
easat-5666	131	14	the	the	DET
easat-5666	131	15	authors	author	NOUN
easat-5666	131	16	;	;	PUNCT
easat-5666	131	17	licensee	licensee	NOUN
easat-5666	131	18	learning	learning	NOUN
easat-5666	131	19	gate	gate	NOUN
easat-5666	131	20	for	for	ADP
easat-5666	131	21	implementing	implement	VERB
easat-5666	131	22	the	the	DET
easat-5666	131	23	svm	svm	ADJ
easat-5666	131	24	model	model	NOUN
easat-5666	131	25	for	for	ADP
easat-5666	131	26	obesity	obesity	NOUN
easat-5666	131	27	detection	detection	NOUN
easat-5666	131	28	;	;	PUNCT
easat-5666	131	29	•	•	NUM
easat-5666	131	30	kernel	kernel	NOUN
easat-5666	131	31	selection	selection	NOUN
easat-5666	131	32	svm	svm	NOUN
easat-5666	131	33	can	can	AUX
easat-5666	131	34	handle	handle	VERB
easat-5666	131	35	both	both	PRON
easat-5666	131	36	linearly	linearly	ADV
easat-5666	131	37	separable	separable	ADJ
easat-5666	131	38	and	and	CCONJ
easat-5666	131	39	non	non	ADJ
easat-5666	131	40	-	-	ADJ
easat-5666	131	41	linearly	linearly	ADV
easat-5666	131	42	separable	separable	ADJ
easat-5666	131	43	data	datum	NOUN
easat-5666	131	44	.	.	PUNCT
easat-5666	132	1	the	the	DET
easat-5666	132	2	choice	choice	NOUN
easat-5666	132	3	of	of	ADP
easat-5666	132	4	the	the	DET
easat-5666	132	5	kernel	kernel	PROPN
easat-5666	132	6	function	function	NOUN
easat-5666	132	7	plays	play	VERB
easat-5666	132	8	a	a	DET
easat-5666	132	9	significant	significant	ADJ
easat-5666	132	10	role	role	NOUN
easat-5666	132	11	in	in	ADP
easat-5666	132	12	transforming	transform	VERB
easat-5666	132	13	the	the	DET
easat-5666	132	14	feature	feature	NOUN
easat-5666	132	15	space	space	NOUN
easat-5666	132	16	for	for	ADP
easat-5666	132	17	effective	effective	ADJ
easat-5666	132	18	classification	classification	NOUN
easat-5666	132	19	.	.	PUNCT
easat-5666	133	1	•	•	NUM
easat-5666	133	2	linear	linear	ADJ
easat-5666	133	3	kernel	kernel	PROPN
easat-5666	133	4	:	:	PUNCT
easat-5666	133	5	used	use	VERB
easat-5666	133	6	when	when	SCONJ
easat-5666	133	7	the	the	DET
easat-5666	133	8	data	data	NOUN
easat-5666	133	9	is	be	AUX
easat-5666	133	10	expected	expect	VERB
easat-5666	133	11	to	to	PART
easat-5666	133	12	be	be	AUX
easat-5666	133	13	linearly	linearly	ADV
easat-5666	133	14	separable	separable	ADJ
easat-5666	133	15	,	,	PUNCT
easat-5666	133	16	where	where	SCONJ
easat-5666	133	17	a	a	DET
easat-5666	133	18	single	single	ADJ
easat-5666	133	19	hyperplane	hyperplane	NOUN
easat-5666	133	20	can	can	AUX
easat-5666	133	21	divide	divide	VERB
easat-5666	133	22	the	the	DET
easat-5666	133	23	two	two	NUM
easat-5666	133	24	classes	class	NOUN
easat-5666	133	25	(	(	PUNCT
easat-5666	133	26	obese	obese	NOUN
easat-5666	133	27	and	and	CCONJ
easat-5666	133	28	non	non	ADJ
easat-5666	133	29	-	-	ADJ
easat-5666	133	30	obese	obese	ADJ
easat-5666	133	31	)	)	PUNCT
easat-5666	133	32	.	.	PUNCT
easat-5666	134	1	•	•	NUM
easat-5666	134	2	radial	radial	ADJ
easat-5666	134	3	basis	basis	NOUN
easat-5666	134	4	function	function	NOUN
easat-5666	134	5	(	(	PUNCT
easat-5666	134	6	rbf	rbf	PROPN
easat-5666	134	7	)	)	PUNCT
easat-5666	134	8	kernel	kernel	PROPN
easat-5666	134	9	:	:	PUNCT
easat-5666	134	10	a	a	DET
easat-5666	134	11	popular	popular	ADJ
easat-5666	134	12	choice	choice	NOUN
easat-5666	134	13	when	when	SCONJ
easat-5666	134	14	the	the	DET
easat-5666	134	15	data	data	NOUN
easat-5666	134	16	is	be	AUX
easat-5666	134	17	non	non	ADJ
easat-5666	134	18	-	-	ADJ
easat-5666	134	19	linearly	linearly	ADV
easat-5666	134	20	separable	separable	ADJ
easat-5666	134	21	.	.	PUNCT
easat-5666	135	1	the	the	DET
easat-5666	135	2	rbf	rbf	PROPN
easat-5666	135	3	kernel	kernel	PROPN
easat-5666	135	4	maps	map	VERB
easat-5666	135	5	the	the	DET
easat-5666	135	6	data	datum	NOUN
easat-5666	135	7	into	into	ADP
easat-5666	135	8	a	a	DET
easat-5666	135	9	higher	higher	ADV
easat-5666	135	10	-	-	PUNCT
easat-5666	135	11	dimensional	dimensional	ADJ
easat-5666	135	12	space	space	NOUN
easat-5666	135	13	,	,	PUNCT
easat-5666	135	14	allowing	allow	VERB
easat-5666	135	15	the	the	DET
easat-5666	135	16	svm	svm	NOUN
easat-5666	135	17	to	to	PART
easat-5666	135	18	find	find	VERB
easat-5666	135	19	nonlinear	nonlinear	ADJ
easat-5666	135	20	decision	decision	NOUN
easat-5666	135	21	boundaries	boundary	NOUN
easat-5666	135	22	.	.	PUNCT
easat-5666	136	1	in	in	ADP
easat-5666	136	2	this	this	DET
easat-5666	136	3	study	study	NOUN
easat-5666	136	4	,	,	PUNCT
easat-5666	136	5	both	both	CCONJ
easat-5666	136	6	linear	linear	ADJ
easat-5666	136	7	and	and	CCONJ
easat-5666	136	8	rbf	rbf	PROPN
easat-5666	136	9	kernels	kernel	NOUN
easat-5666	136	10	were	be	AUX
easat-5666	136	11	tested	test	VERB
easat-5666	136	12	,	,	PUNCT
easat-5666	136	13	and	and	CCONJ
easat-5666	136	14	the	the	DET
easat-5666	136	15	rbf	rbf	PROPN
easat-5666	136	16	kernel	kernel	PROPN
easat-5666	136	17	was	be	AUX
easat-5666	136	18	found	find	VERB
easat-5666	136	19	to	to	PART
easat-5666	136	20	be	be	AUX
easat-5666	136	21	more	more	ADV
easat-5666	136	22	effective	effective	ADJ
easat-5666	136	23	in	in	ADP
easat-5666	136	24	detecting	detect	VERB
easat-5666	136	25	obesity	obesity	NOUN
easat-5666	136	26	in	in	ADP
easat-5666	136	27	rats	rat	NOUN
easat-5666	136	28	due	due	ADP
easat-5666	136	29	to	to	ADP
easat-5666	136	30	the	the	DET
easat-5666	136	31	complex	complex	ADJ
easat-5666	136	32	relationships	relationship	NOUN
easat-5666	136	33	between	between	ADP
easat-5666	136	34	metabolic	metabolic	NOUN
easat-5666	136	35	features	feature	NOUN
easat-5666	136	36	.	.	PUNCT
easat-5666	137	1	•	•	NUM
easat-5666	137	2	hyperparameter	hyperparameter	NOUN
easat-5666	137	3	tuning	tune	VERB
easat-5666	137	4	svm	svm	PROPN
easat-5666	137	5	’s	’s	PART
easat-5666	137	6	performance	performance	NOUN
easat-5666	137	7	is	be	AUX
easat-5666	137	8	significantly	significantly	ADV
easat-5666	137	9	influenced	influence	VERB
easat-5666	137	10	by	by	ADP
easat-5666	137	11	the	the	DET
easat-5666	137	12	choice	choice	NOUN
easat-5666	137	13	of	of	ADP
easat-5666	137	14	c	c	PROPN
easat-5666	137	15	(	(	PUNCT
easat-5666	137	16	regularization	regularization	NOUN
easat-5666	137	17	parameter	parameter	NOUN
easat-5666	137	18	)	)	PUNCT
easat-5666	137	19	and	and	CCONJ
easat-5666	137	20	the	the	DET
easat-5666	137	21	kernel	kernel	NOUN
easat-5666	137	22	-	-	PUNCT
easat-5666	137	23	specific	specific	ADJ
easat-5666	137	24	parameters	parameter	NOUN
easat-5666	137	25	,	,	PUNCT
easat-5666	137	26	such	such	ADJ
easat-5666	137	27	as	as	ADP
easat-5666	137	28	gamma	gamma	NOUN
easat-5666	137	29	for	for	ADP
easat-5666	137	30	the	the	DET
easat-5666	137	31	rbf	rbf	PROPN
easat-5666	137	32	kernel	kernel	PROPN
easat-5666	137	33	.	.	PUNCT
easat-5666	138	1	these	these	DET
easat-5666	138	2	parameters	parameter	NOUN
easat-5666	138	3	were	be	AUX
easat-5666	138	4	tuned	tune	VERB
easat-5666	138	5	using	use	VERB
easat-5666	138	6	grid	grid	NOUN
easat-5666	138	7	search	search	NOUN
easat-5666	138	8	or	or	CCONJ
easat-5666	138	9	cross	cross	NOUN
easat-5666	138	10	-	-	NOUN
easat-5666	138	11	validation	validation	NOUN
easat-5666	138	12	to	to	PART
easat-5666	138	13	find	find	VERB
easat-5666	138	14	the	the	DET
easat-5666	138	15	optimal	optimal	ADJ
easat-5666	138	16	configuration	configuration	NOUN
easat-5666	138	17	[	[	X
easat-5666	138	18	17	17	NUM
easat-5666	138	19	]	]	PUNCT
easat-5666	138	20	.	.	PUNCT
easat-5666	139	1	•	•	NUM
easat-5666	139	2	c	c	NOUN
easat-5666	139	3	:	:	PUNCT
easat-5666	139	4	controls	control	VERB
easat-5666	139	5	the	the	DET
easat-5666	139	6	trade	trade	NOUN
easat-5666	139	7	-	-	PUNCT
easat-5666	139	8	off	off	NOUN
easat-5666	139	9	between	between	ADP
easat-5666	139	10	achieving	achieve	VERB
easat-5666	139	11	a	a	DET
easat-5666	139	12	wide	wide	ADJ
easat-5666	139	13	margin	margin	NOUN
easat-5666	139	14	and	and	CCONJ
easat-5666	139	15	minimizing	minimize	VERB
easat-5666	139	16	classification	classification	NOUN
easat-5666	139	17	errors	error	NOUN
easat-5666	139	18	.	.	PUNCT
easat-5666	140	1	a	a	DET
easat-5666	140	2	smaller	small	ADJ
easat-5666	140	3	c	c	NOUN
easat-5666	140	4	allows	allow	VERB
easat-5666	140	5	for	for	ADP
easat-5666	140	6	a	a	DET
easat-5666	140	7	wider	wide	ADJ
easat-5666	140	8	margin	margin	NOUN
easat-5666	140	9	but	but	CCONJ
easat-5666	140	10	may	may	AUX
easat-5666	140	11	result	result	VERB
easat-5666	140	12	in	in	ADP
easat-5666	140	13	more	more	ADJ
easat-5666	140	14	misclassifications	misclassification	NOUN
easat-5666	140	15	,	,	PUNCT
easat-5666	140	16	while	while	SCONJ
easat-5666	140	17	a	a	DET
easat-5666	140	18	larger	large	ADJ
easat-5666	140	19	c	c	NOUN
easat-5666	140	20	prioritizes	prioritize	VERB
easat-5666	140	21	minimizing	minimize	VERB
easat-5666	140	22	misclassifications	misclassification	NOUN
easat-5666	140	23	at	at	ADP
easat-5666	140	24	the	the	DET
easat-5666	140	25	cost	cost	NOUN
easat-5666	140	26	of	of	ADP
easat-5666	140	27	a	a	DET
easat-5666	140	28	smaller	small	ADJ
easat-5666	140	29	margin	margin	NOUN
easat-5666	140	30	.	.	PUNCT
easat-5666	141	1	•	•	NOUN
easat-5666	141	2	gamma	gamma	NOUN
easat-5666	141	3	:	:	PUNCT
easat-5666	141	4	defines	define	VERB
easat-5666	141	5	the	the	DET
easat-5666	141	6	influence	influence	NOUN
easat-5666	141	7	of	of	ADP
easat-5666	141	8	a	a	DET
easat-5666	141	9	single	single	ADJ
easat-5666	141	10	training	training	NOUN
easat-5666	141	11	example	example	NOUN
easat-5666	141	12	in	in	ADP
easat-5666	141	13	the	the	DET
easat-5666	141	14	rbf	rbf	PROPN
easat-5666	141	15	kernel	kernel	PROPN
easat-5666	141	16	.	.	PUNCT
easat-5666	142	1	a	a	DET
easat-5666	142	2	high	high	ADJ
easat-5666	142	3	gamma	gamma	NOUN
easat-5666	142	4	can	can	AUX
easat-5666	142	5	result	result	VERB
easat-5666	142	6	in	in	ADP
easat-5666	142	7	overfitting	overfitte	VERB
easat-5666	142	8	,	,	PUNCT
easat-5666	142	9	while	while	SCONJ
easat-5666	142	10	a	a	DET
easat-5666	142	11	low	low	ADJ
easat-5666	142	12	gamma	gamma	NOUN
easat-5666	142	13	can	can	AUX
easat-5666	142	14	lead	lead	VERB
easat-5666	142	15	to	to	ADP
easat-5666	142	16	underfitting	underfitte	VERB
easat-5666	142	17	.	.	PUNCT
easat-5666	143	1	by	by	ADP
easat-5666	143	2	adjusting	adjust	VERB
easat-5666	143	3	these	these	DET
easat-5666	143	4	hyperparameters	hyperparameter	NOUN
easat-5666	143	5	,	,	PUNCT
easat-5666	143	6	the	the	DET
easat-5666	143	7	model	model	NOUN
easat-5666	143	8	was	be	AUX
easat-5666	143	9	trained	train	VERB
easat-5666	143	10	to	to	PART
easat-5666	143	11	accurately	accurately	ADV
easat-5666	143	12	classify	classify	VERB
easat-5666	143	13	obese	obese	ADJ
easat-5666	143	14	and	and	CCONJ
easat-5666	143	15	non	non	ADJ
easat-5666	143	16	-	-	ADJ
easat-5666	143	17	obese	obese	ADJ
easat-5666	143	18	rats	rat	NOUN
easat-5666	143	19	.	.	PUNCT
easat-5666	144	1	for	for	ADP
easat-5666	144	2	the	the	DET
easat-5666	144	3	part	part	NOUN
easat-5666	144	4	of	of	ADP
easat-5666	144	5	model	model	NOUN
easat-5666	144	6	training	training	NOUN
easat-5666	144	7	and	and	CCONJ
easat-5666	144	8	classification	classification	NOUN
easat-5666	144	9	steps	step	NOUN
easat-5666	144	10	;	;	PUNCT
easat-5666	144	11	once	once	SCONJ
easat-5666	144	12	the	the	DET
easat-5666	144	13	kernel	kernel	NOUN
easat-5666	144	14	and	and	CCONJ
easat-5666	144	15	hyperparameters	hyperparameter	NOUN
easat-5666	144	16	were	be	AUX
easat-5666	144	17	optimized	optimize	VERB
easat-5666	144	18	,	,	PUNCT
easat-5666	144	19	the	the	DET
easat-5666	144	20	svm	svm	ADJ
easat-5666	144	21	model	model	NOUN
easat-5666	144	22	was	be	AUX
easat-5666	144	23	trained	train	VERB
easat-5666	144	24	on	on	ADP
easat-5666	144	25	the	the	DET
easat-5666	144	26	selected	select	VERB
easat-5666	144	27	features	feature	NOUN
easat-5666	144	28	from	from	ADP
easat-5666	144	29	the	the	DET
easat-5666	144	30	training	training	NOUN
easat-5666	144	31	set	set	NOUN
easat-5666	144	32	.	.	PUNCT
easat-5666	145	1	during	during	ADP
easat-5666	145	2	training	training	NOUN
easat-5666	145	3	,	,	PUNCT
easat-5666	145	4	the	the	DET
easat-5666	145	5	algorithm	algorithm	NOUN
easat-5666	145	6	learned	learn	VERB
easat-5666	145	7	to	to	PART
easat-5666	145	8	construct	construct	VERB
easat-5666	145	9	the	the	DET
easat-5666	145	10	optimal	optimal	ADJ
easat-5666	145	11	hyperplane	hyperplane	NOUN
easat-5666	145	12	that	that	PRON
easat-5666	145	13	separates	separate	VERB
easat-5666	145	14	the	the	DET
easat-5666	145	15	two	two	NUM
easat-5666	145	16	classes	class	NOUN
easat-5666	145	17	—	—	PUNCT
easat-5666	145	18	obese	obese	ADJ
easat-5666	145	19	and	and	CCONJ
easat-5666	145	20	non	non	ADJ
easat-5666	145	21	-	-	ADJ
easat-5666	145	22	obese	obese	ADJ
easat-5666	145	23	rats	rat	NOUN
easat-5666	145	24	—	—	PUNCT
easat-5666	145	25	by	by	ADP
easat-5666	145	26	maximizing	maximize	VERB
easat-5666	145	27	the	the	DET
easat-5666	145	28	margin	margin	NOUN
easat-5666	145	29	between	between	ADP
easat-5666	145	30	support	support	NOUN
easat-5666	145	31	vectors	vector	NOUN
easat-5666	145	32	.	.	PUNCT
easat-5666	146	1	the	the	DET
easat-5666	146	2	decision	decision	NOUN
easat-5666	146	3	boundary	boundary	ADJ
easat-5666	146	4	(	(	PUNCT
easat-5666	146	5	hyperplane	hyperplane	NOUN
easat-5666	146	6	)	)	PUNCT
easat-5666	146	7	created	create	VERB
easat-5666	146	8	by	by	ADP
easat-5666	146	9	svm	svm	PROPN
easat-5666	146	10	classifies	classify	VERB
easat-5666	146	11	new	new	ADJ
easat-5666	146	12	data	datum	NOUN
easat-5666	146	13	points	point	NOUN
easat-5666	146	14	by	by	ADP
easat-5666	146	15	determining	determine	VERB
easat-5666	146	16	which	which	DET
easat-5666	146	17	side	side	NOUN
easat-5666	146	18	of	of	ADP
easat-5666	146	19	the	the	DET
easat-5666	146	20	hyperplane	hyperplane	NOUN
easat-5666	146	21	they	they	PRON
easat-5666	146	22	lie	lie	VERB
easat-5666	146	23	on	on	ADP
easat-5666	146	24	.	.	PUNCT
easat-5666	147	1	in	in	ADP
easat-5666	147	2	the	the	DET
easat-5666	147	3	case	case	NOUN
easat-5666	147	4	of	of	ADP
easat-5666	147	5	obesity	obesity	NOUN
easat-5666	147	6	detection	detection	NOUN
easat-5666	147	7	,	,	PUNCT
easat-5666	147	8	a	a	DET
easat-5666	147	9	rat	rat	NOUN
easat-5666	147	10	's	's	PART
easat-5666	147	11	metabolic	metabolic	NOUN
easat-5666	147	12	features	feature	NOUN
easat-5666	147	13	(	(	PUNCT
easat-5666	147	14	e.g.	e.g.	ADV
easat-5666	147	15	,	,	PUNCT
easat-5666	147	16	body	body	NOUN
easat-5666	147	17	weight	weight	NOUN
easat-5666	147	18	,	,	PUNCT
easat-5666	147	19	lipid	lipid	NOUN
easat-5666	147	20	profile	profile	NOUN
easat-5666	147	21	,	,	PUNCT
easat-5666	147	22	glucose	glucose	NOUN
easat-5666	147	23	levels	level	NOUN
easat-5666	147	24	)	)	PUNCT
easat-5666	147	25	are	be	AUX
easat-5666	147	26	used	use	VERB
easat-5666	147	27	to	to	PART
easat-5666	147	28	predict	predict	VERB
easat-5666	147	29	whether	whether	SCONJ
easat-5666	147	30	it	it	PRON
easat-5666	147	31	falls	fall	VERB
easat-5666	147	32	into	into	ADP
easat-5666	147	33	the	the	DET
easat-5666	147	34	"	"	PUNCT
easat-5666	147	35	obese	obese	NOUN
easat-5666	147	36	"	"	PUNCT
easat-5666	147	37	or	or	CCONJ
easat-5666	147	38	"	"	PUNCT
easat-5666	147	39	nonobese	nonobese	ADJ
easat-5666	147	40	"	"	PUNCT
easat-5666	147	41	category	category	NOUN
easat-5666	147	42	.	.	PUNCT
easat-5666	148	1	3	3	X
easat-5666	148	2	.	.	NOUN
easat-5666	148	3	results	result	NOUN
easat-5666	148	4	and	and	CCONJ
easat-5666	148	5	discussion	discussion	NOUN
easat-5666	148	6	3.1	3.1	NUM
easat-5666	148	7	.	.	PUNCT
easat-5666	149	1	results	result	NOUN
easat-5666	149	2	of	of	ADP
easat-5666	149	3	the	the	DET
easat-5666	149	4	obesity	obesity	NOUN
easat-5666	149	5	detection	detection	NOUN
easat-5666	149	6	models	model	NOUN
easat-5666	149	7	in	in	ADP
easat-5666	149	8	this	this	DET
easat-5666	149	9	study	study	NOUN
easat-5666	149	10	,	,	PUNCT
easat-5666	149	11	several	several	ADJ
easat-5666	149	12	machine	machine	NOUN
easat-5666	149	13	learning	learning	NOUN
easat-5666	149	14	models	model	NOUN
easat-5666	149	15	were	be	AUX
easat-5666	149	16	employed	employ	VERB
easat-5666	149	17	to	to	PART
easat-5666	149	18	detect	detect	VERB
easat-5666	149	19	obesity	obesity	NOUN
easat-5666	149	20	in	in	ADP
easat-5666	149	21	rats	rat	NOUN
easat-5666	149	22	based	base	VERB
easat-5666	149	23	on	on	ADP
easat-5666	149	24	metabolic	metabolic	NOUN
easat-5666	149	25	and	and	CCONJ
easat-5666	149	26	physiological	physiological	ADJ
easat-5666	149	27	data	datum	NOUN
easat-5666	149	28	.	.	PUNCT
easat-5666	150	1	the	the	DET
easat-5666	150	2	models	model	NOUN
easat-5666	150	3	used	use	VERB
easat-5666	150	4	for	for	ADP
easat-5666	150	5	classification	classification	NOUN
easat-5666	150	6	included	include	VERB
easat-5666	150	7	random	random	ADJ
easat-5666	150	8	forest	forest	NOUN
easat-5666	150	9	(	(	PUNCT
easat-5666	150	10	rf	rf	NOUN
easat-5666	150	11	)	)	PUNCT
easat-5666	150	12	,	,	PUNCT
easat-5666	150	13	knearest	knearest	NOUN
easat-5666	150	14	neighbors	neighbor	NOUN
easat-5666	150	15	(	(	PUNCT
easat-5666	150	16	k	k	X
easat-5666	150	17	-	-	PUNCT
easat-5666	150	18	nn	nn	NOUN
easat-5666	150	19	)	)	PUNCT
easat-5666	150	20	,	,	PUNCT
easat-5666	150	21	and	and	CCONJ
easat-5666	150	22	support	support	VERB
easat-5666	150	23	vector	vector	NOUN
easat-5666	150	24	machine	machine	NOUN
easat-5666	150	25	(	(	PUNCT
easat-5666	150	26	svm	svm	PROPN
easat-5666	150	27	)	)	PUNCT
easat-5666	150	28	.	.	PUNCT
easat-5666	151	1	each	each	DET
easat-5666	151	2	model	model	NOUN
easat-5666	151	3	's	's	PART
easat-5666	151	4	performance	performance	NOUN
easat-5666	151	5	was	be	AUX
easat-5666	151	6	evaluated	evaluate	VERB
easat-5666	151	7	using	use	VERB
easat-5666	151	8	various	various	ADJ
easat-5666	151	9	metrics	metric	NOUN
easat-5666	151	10	,	,	PUNCT
easat-5666	151	11	including	include	VERB
easat-5666	151	12	accuracy	accuracy	NOUN
easat-5666	151	13	,	,	PUNCT
easat-5666	151	14	precision	precision	NOUN
easat-5666	151	15	,	,	PUNCT
easat-5666	151	16	recall	recall	NOUN
easat-5666	151	17	,	,	PUNCT
easat-5666	151	18	f1	f1	NOUN
easat-5666	151	19	-	-	PUNCT
easat-5666	151	20	score	score	NOUN
easat-5666	151	21	,	,	PUNCT
easat-5666	151	22	and	and	CCONJ
easat-5666	151	23	a	a	DET
easat-5666	151	24	confusion	confusion	NOUN
easat-5666	151	25	matrix	matrix	NOUN
easat-5666	151	26	.	.	PUNCT
easat-5666	152	1	to	to	PART
easat-5666	152	2	evaluate	evaluate	VERB
easat-5666	152	3	the	the	DET
easat-5666	152	4	performance	performance	NOUN
easat-5666	152	5	of	of	ADP
easat-5666	152	6	the	the	DET
easat-5666	152	7	used	use	VERB
easat-5666	152	8	models	model	NOUN
easat-5666	152	9	,	,	PUNCT
easat-5666	152	10	several	several	ADJ
easat-5666	152	11	metrics	metric	NOUN
easat-5666	152	12	were	be	AUX
easat-5666	152	13	computed	compute	VERB
easat-5666	152	14	:	:	PUNCT
easat-5666	152	15	•	•	NUM
easat-5666	152	16	accuracy	accuracy	NOUN
easat-5666	152	17	:	:	PUNCT
easat-5666	152	18	the	the	DET
easat-5666	152	19	percentage	percentage	NOUN
easat-5666	152	20	of	of	ADP
easat-5666	152	21	correctly	correctly	ADV
easat-5666	152	22	classified	classified	ADJ
easat-5666	152	23	rats	rat	NOUN
easat-5666	152	24	(	(	PUNCT
easat-5666	152	25	both	both	CCONJ
easat-5666	152	26	obese	obese	ADJ
easat-5666	152	27	and	and	CCONJ
easat-5666	152	28	non	non	ADJ
easat-5666	152	29	-	-	ADJ
easat-5666	152	30	obese	obese	ADJ
easat-5666	152	31	)	)	PUNCT
easat-5666	152	32	.	.	PUNCT
easat-5666	153	1	•	•	NUM
easat-5666	153	2	precision	precision	NOUN
easat-5666	153	3	:	:	PUNCT
easat-5666	153	4	the	the	DET
easat-5666	153	5	proportion	proportion	NOUN
easat-5666	153	6	of	of	ADP
easat-5666	153	7	true	true	ADJ
easat-5666	153	8	positive	positive	ADJ
easat-5666	153	9	obese	obese	ADJ
easat-5666	153	10	rats	rat	NOUN
easat-5666	153	11	among	among	ADP
easat-5666	153	12	all	all	DET
easat-5666	153	13	rats	rat	NOUN
easat-5666	153	14	classified	classify	VERB
easat-5666	153	15	as	as	ADP
easat-5666	153	16	obese	obese	ADJ
easat-5666	153	17	.	.	PUNCT
easat-5666	154	1	•	•	NUM
easat-5666	154	2	recall	recall	NOUN
easat-5666	154	3	(	(	PUNCT
easat-5666	154	4	sensitivity	sensitivity	NOUN
easat-5666	154	5	):	):	PUNCT
easat-5666	154	6	the	the	DET
easat-5666	154	7	ability	ability	NOUN
easat-5666	154	8	of	of	ADP
easat-5666	154	9	the	the	DET
easat-5666	154	10	model	model	NOUN
easat-5666	154	11	to	to	PART
easat-5666	154	12	correctly	correctly	ADV
easat-5666	154	13	identify	identify	VERB
easat-5666	154	14	obese	obese	ADJ
easat-5666	154	15	rats	rat	NOUN
easat-5666	154	16	.	.	PUNCT
easat-5666	155	1	•	•	NUM
easat-5666	155	2	f1	f1	NOUN
easat-5666	155	3	-	-	PUNCT
easat-5666	155	4	score	score	NOUN
easat-5666	155	5	:	:	PUNCT
easat-5666	155	6	a	a	DET
easat-5666	155	7	balance	balance	NOUN
easat-5666	155	8	between	between	ADP
easat-5666	155	9	precision	precision	NOUN
easat-5666	155	10	and	and	CCONJ
easat-5666	155	11	recall	recall	NOUN
easat-5666	155	12	,	,	PUNCT
easat-5666	155	13	providing	provide	VERB
easat-5666	155	14	a	a	DET
easat-5666	155	15	single	single	ADJ
easat-5666	155	16	performance	performance	NOUN
easat-5666	155	17	metric	metric	ADJ
easat-5666	155	18	.	.	PUNCT
easat-5666	156	1	•	•	NUM
easat-5666	156	2	confusion	confusion	NOUN
easat-5666	156	3	matrix	matrix	NOUN
easat-5666	156	4	:	:	PUNCT
easat-5666	156	5	a	a	DET
easat-5666	156	6	table	table	NOUN
easat-5666	156	7	that	that	PRON
easat-5666	156	8	shows	show	VERB
easat-5666	156	9	the	the	DET
easat-5666	156	10	breakdown	breakdown	NOUN
easat-5666	156	11	of	of	ADP
easat-5666	156	12	true	true	ADJ
easat-5666	156	13	positives	positive	NOUN
easat-5666	156	14	,	,	PUNCT
easat-5666	156	15	true	true	ADJ
easat-5666	156	16	negatives	negative	NOUN
easat-5666	156	17	,	,	PUNCT
easat-5666	156	18	false	false	ADJ
easat-5666	156	19	positives	positive	NOUN
easat-5666	156	20	,	,	PUNCT
easat-5666	156	21	and	and	CCONJ
easat-5666	156	22	false	false	ADJ
easat-5666	156	23	negatives	negative	NOUN
easat-5666	156	24	.	.	PUNCT
easat-5666	157	1	•	•	NUM
easat-5666	157	2	the	the	DET
easat-5666	157	3	results	result	NOUN
easat-5666	157	4	from	from	ADP
easat-5666	157	5	these	these	DET
easat-5666	157	6	models	model	NOUN
easat-5666	157	7	are	be	AUX
easat-5666	157	8	summarized	summarize	VERB
easat-5666	157	9	below	below	ADP
easat-5666	157	10	:	:	PUNCT
easat-5666	157	11	•	•	NUM
easat-5666	157	12	random	random	ADJ
easat-5666	157	13	forest	forest	NOUN
easat-5666	157	14	(	(	PUNCT
easat-5666	157	15	rf	rf	NOUN
easat-5666	157	16	):	):	PUNCT
easat-5666	157	17	•	•	NUM
easat-5666	157	18	accuracy	accuracy	NOUN
easat-5666	157	19	:	:	PUNCT
easat-5666	157	20	97.4	97.4	NUM
easat-5666	157	21	%	%	NOUN
easat-5666	157	22	1671	1671	NUM
easat-5666	157	23	edelweiss	edelweiss	PROPN
easat-5666	157	24	applied	apply	VERB
easat-5666	157	25	science	science	NOUN
easat-5666	157	26	and	and	CCONJ
easat-5666	157	27	technology	technology	NOUN
easat-5666	157	28	issn	issn	PROPN
easat-5666	157	29	:	:	PUNCT
easat-5666	157	30	2576	2576	NUM
easat-5666	157	31	-	-	SYM
easat-5666	157	32	8484	8484	NUM
easat-5666	157	33	vol	vol	NOUN
easat-5666	157	34	.	.	PROPN
easat-5666	158	1	9	9	NUM
easat-5666	158	2	,	,	PUNCT
easat-5666	158	3	no	no	INTJ
easat-5666	158	4	.	.	NOUN
easat-5666	159	1	3	3	NUM
easat-5666	159	2	:	:	PUNCT
easat-5666	159	3	1665	1665	NUM
easat-5666	159	4	-	-	SYM
easat-5666	159	5	1674	1674	NUM
easat-5666	159	6	,	,	PUNCT
easat-5666	159	7	2025	2025	NUM
easat-5666	159	8	doi	doi	NOUN
easat-5666	159	9	:	:	PUNCT
easat-5666	159	10	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	159	11	©	©	NOUN
easat-5666	159	12	2025	2025	NUM
easat-5666	159	13	by	by	ADP
easat-5666	159	14	the	the	DET
easat-5666	159	15	authors	author	NOUN
easat-5666	159	16	;	;	PUNCT
easat-5666	159	17	licensee	licensee	PROPN
easat-5666	159	18	learning	learning	NOUN
easat-5666	159	19	gate	gate	VERB
easat-5666	159	20	•	•	NOUN
easat-5666	159	21	precision	precision	NOUN
easat-5666	159	22	:	:	PUNCT
easat-5666	159	23	96.1	96.1	NUM
easat-5666	159	24	%	%	NOUN
easat-5666	159	25	•	•	NOUN
easat-5666	159	26	recall	recall	NOUN
easat-5666	159	27	:	:	PUNCT
easat-5666	159	28	98.5	98.5	NUM
easat-5666	159	29	%	%	NOUN
easat-5666	159	30	•	•	ADP
easat-5666	159	31	f1	f1	NOUN
easat-5666	159	32	-	-	PUNCT
easat-5666	159	33	score	score	NOUN
easat-5666	159	34	:	:	PUNCT
easat-5666	159	35	97.3	97.3	NUM
easat-5666	159	36	%	%	NOUN
easat-5666	160	1	•	•	PRON
easat-5666	160	2	k	k	ADV
easat-5666	160	3	-	-	PUNCT
easat-5666	160	4	nearest	near	ADJ
easat-5666	160	5	neighbors	neighbor	NOUN
easat-5666	160	6	(	(	PUNCT
easat-5666	160	7	k	k	X
easat-5666	160	8	-	-	PUNCT
easat-5666	160	9	nn	nn	ADJ
easat-5666	160	10	):	):	PUNCT
easat-5666	160	11	•	•	NUM
easat-5666	160	12	accuracy	accuracy	NOUN
easat-5666	160	13	:	:	PUNCT
easat-5666	160	14	94.5	94.5	NUM
easat-5666	160	15	%	%	NOUN
easat-5666	160	16	•	•	NUM
easat-5666	160	17	precision	precision	NOUN
easat-5666	160	18	:	:	PUNCT
easat-5666	160	19	93.2	93.2	NUM
easat-5666	160	20	%	%	NOUN
easat-5666	160	21	•	•	NOUN
easat-5666	160	22	recall	recall	NOUN
easat-5666	160	23	:	:	PUNCT
easat-5666	160	24	96.1	96.1	NUM
easat-5666	160	25	%	%	NOUN
easat-5666	160	26	•	•	ADP
easat-5666	160	27	f1	f1	NOUN
easat-5666	160	28	-	-	PUNCT
easat-5666	160	29	score	score	NOUN
easat-5666	160	30	:	:	PUNCT
easat-5666	160	31	94.6	94.6	NUM
easat-5666	160	32	%	%	NOUN
easat-5666	160	33	•	•	ADP
easat-5666	160	34	support	support	NOUN
easat-5666	160	35	vector	vector	NOUN
easat-5666	160	36	machine	machine	NOUN
easat-5666	160	37	(	(	PUNCT
easat-5666	160	38	svm	svm	PROPN
easat-5666	160	39	):	):	PUNCT
easat-5666	160	40	•	•	ADJ
easat-5666	160	41	accuracy	accuracy	NOUN
easat-5666	160	42	:	:	PUNCT
easat-5666	160	43	95.8	95.8	NUM
easat-5666	160	44	%	%	NOUN
easat-5666	160	45	•	•	NOUN
easat-5666	160	46	precision	precision	NOUN
easat-5666	160	47	:	:	PUNCT
easat-5666	160	48	94.3	94.3	NUM
easat-5666	160	49	%	%	NOUN
easat-5666	160	50	•	•	NOUN
easat-5666	160	51	recall	recall	NOUN
easat-5666	160	52	:	:	PUNCT
easat-5666	160	53	97.2	97.2	NUM
easat-5666	160	54	%	%	NOUN
easat-5666	160	55	•	•	ADP
easat-5666	160	56	f1	f1	NOUN
easat-5666	160	57	-	-	PUNCT
easat-5666	160	58	score	score	NOUN
easat-5666	160	59	:	:	PUNCT
easat-5666	160	60	95.7	95.7	NUM
easat-5666	160	61	%	%	NOUN
easat-5666	160	62	these	these	DET
easat-5666	160	63	results	result	NOUN
easat-5666	160	64	clearly	clearly	ADV
easat-5666	160	65	show	show	VERB
easat-5666	160	66	that	that	SCONJ
easat-5666	160	67	all	all	DET
easat-5666	160	68	three	three	NUM
easat-5666	160	69	models	model	NOUN
easat-5666	160	70	performed	perform	VERB
easat-5666	160	71	well	well	ADV
easat-5666	160	72	in	in	ADP
easat-5666	160	73	detecting	detect	VERB
easat-5666	160	74	obesity	obesity	NOUN
easat-5666	160	75	in	in	ADP
easat-5666	160	76	rats	rat	NOUN
easat-5666	160	77	,	,	PUNCT
easat-5666	160	78	with	with	ADP
easat-5666	160	79	random	random	ADJ
easat-5666	160	80	forest	forest	NOUN
easat-5666	160	81	achieving	achieve	VERB
easat-5666	160	82	the	the	DET
easat-5666	160	83	highest	high	ADJ
easat-5666	160	84	performance	performance	NOUN
easat-5666	160	85	across	across	ADP
easat-5666	160	86	all	all	DET
easat-5666	160	87	evaluation	evaluation	NOUN
easat-5666	160	88	metrics	metric	NOUN
easat-5666	160	89	.	.	PUNCT
easat-5666	161	1	however	however	ADV
easat-5666	161	2	,	,	PUNCT
easat-5666	161	3	the	the	DET
easat-5666	161	4	svm	svm	PROPN
easat-5666	161	5	and	and	CCONJ
easat-5666	161	6	k	k	PROPN
easat-5666	161	7	-	-	PUNCT
easat-5666	161	8	nn	nn	ADJ
easat-5666	161	9	models	model	NOUN
easat-5666	161	10	also	also	ADV
easat-5666	161	11	showed	show	VERB
easat-5666	161	12	promising	promising	ADJ
easat-5666	161	13	results	result	NOUN
easat-5666	161	14	,	,	PUNCT
easat-5666	161	15	particularly	particularly	ADV
easat-5666	161	16	in	in	ADP
easat-5666	161	17	recall	recall	NOUN
easat-5666	161	18	,	,	PUNCT
easat-5666	161	19	indicating	indicate	VERB
easat-5666	161	20	that	that	SCONJ
easat-5666	161	21	all	all	DET
easat-5666	161	22	models	model	NOUN
easat-5666	161	23	were	be	AUX
easat-5666	161	24	able	able	ADJ
easat-5666	161	25	to	to	PART
easat-5666	161	26	accurately	accurately	ADV
easat-5666	161	27	identify	identify	VERB
easat-5666	161	28	obese	obese	ADJ
easat-5666	161	29	rats	rat	NOUN
easat-5666	161	30	.	.	PUNCT
easat-5666	162	1	when	when	SCONJ
easat-5666	162	2	comparing	compare	VERB
easat-5666	162	3	the	the	DET
easat-5666	162	4	models	model	NOUN
easat-5666	162	5	,	,	PUNCT
easat-5666	162	6	random	random	ADJ
easat-5666	162	7	forest	forest	NOUN
easat-5666	162	8	(	(	PUNCT
easat-5666	162	9	rf	rf	NOUN
easat-5666	162	10	)	)	PUNCT
easat-5666	162	11	consistently	consistently	ADV
easat-5666	162	12	outperformed	outperform	VERB
easat-5666	162	13	both	both	CCONJ
easat-5666	162	14	k	k	PROPN
easat-5666	162	15	-	-	PUNCT
easat-5666	162	16	nn	nn	NOUN
easat-5666	162	17	and	and	CCONJ
easat-5666	162	18	svm	svm	PROPN
easat-5666	162	19	in	in	ADP
easat-5666	162	20	terms	term	NOUN
easat-5666	162	21	of	of	ADP
easat-5666	162	22	accuracy	accuracy	NOUN
easat-5666	162	23	,	,	PUNCT
easat-5666	162	24	precision	precision	NOUN
easat-5666	162	25	,	,	PUNCT
easat-5666	162	26	and	and	CCONJ
easat-5666	162	27	f1	f1	NOUN
easat-5666	162	28	-	-	PUNCT
easat-5666	162	29	score	score	NOUN
easat-5666	162	30	.	.	PUNCT
easat-5666	163	1	this	this	PRON
easat-5666	163	2	may	may	AUX
easat-5666	163	3	be	be	AUX
easat-5666	163	4	attributed	attribute	VERB
easat-5666	163	5	to	to	ADP
easat-5666	163	6	the	the	DET
easat-5666	163	7	ensemble	ensemble	ADJ
easat-5666	163	8	nature	nature	NOUN
easat-5666	163	9	of	of	ADP
easat-5666	163	10	random	random	ADJ
easat-5666	163	11	forest	forest	NOUN
easat-5666	163	12	,	,	PUNCT
easat-5666	163	13	which	which	PRON
easat-5666	163	14	combines	combine	VERB
easat-5666	163	15	multiple	multiple	ADJ
easat-5666	163	16	decision	decision	NOUN
easat-5666	163	17	trees	tree	NOUN
easat-5666	163	18	and	and	CCONJ
easat-5666	163	19	reduces	reduce	VERB
easat-5666	163	20	the	the	DET
easat-5666	163	21	overfitting	overfitte	VERB
easat-5666	163	22	risk	risk	NOUN
easat-5666	163	23	commonly	commonly	ADV
easat-5666	163	24	associated	associate	VERB
easat-5666	163	25	with	with	ADP
easat-5666	163	26	individual	individual	ADJ
easat-5666	163	27	decision	decision	NOUN
easat-5666	163	28	trees	tree	NOUN
easat-5666	163	29	.	.	PUNCT
easat-5666	164	1	rf	rf	NOUN
easat-5666	164	2	's	's	PART
easat-5666	164	3	ability	ability	NOUN
easat-5666	164	4	to	to	PART
easat-5666	164	5	handle	handle	VERB
easat-5666	164	6	a	a	DET
easat-5666	164	7	large	large	ADJ
easat-5666	164	8	number	number	NOUN
easat-5666	164	9	of	of	ADP
easat-5666	164	10	features	feature	NOUN
easat-5666	164	11	and	and	CCONJ
easat-5666	164	12	its	its	PRON
easat-5666	164	13	robustness	robustness	NOUN
easat-5666	164	14	to	to	ADP
easat-5666	164	15	noise	noise	NOUN
easat-5666	164	16	also	also	ADV
easat-5666	164	17	contributed	contribute	VERB
easat-5666	164	18	to	to	ADP
easat-5666	164	19	its	its	PRON
easat-5666	164	20	superior	superior	ADJ
easat-5666	164	21	performance	performance	NOUN
easat-5666	164	22	.	.	PUNCT
easat-5666	165	1	k	k	PROPN
easat-5666	165	2	-	-	PUNCT
easat-5666	165	3	nn	nn	NOUN
easat-5666	165	4	,	,	PUNCT
easat-5666	165	5	while	while	SCONJ
easat-5666	165	6	not	not	PART
easat-5666	165	7	as	as	ADV
easat-5666	165	8	accurate	accurate	ADJ
easat-5666	165	9	as	as	ADP
easat-5666	165	10	random	random	ADJ
easat-5666	165	11	forest	forest	NOUN
easat-5666	165	12	,	,	PUNCT
easat-5666	165	13	showed	show	VERB
easat-5666	165	14	strong	strong	ADJ
easat-5666	165	15	recall	recall	NOUN
easat-5666	165	16	(	(	PUNCT
easat-5666	165	17	96.1	96.1	NUM
easat-5666	165	18	%	%	NOUN
easat-5666	165	19	)	)	PUNCT
easat-5666	165	20	,	,	PUNCT
easat-5666	165	21	indicating	indicate	VERB
easat-5666	165	22	its	its	PRON
easat-5666	165	23	effectiveness	effectiveness	NOUN
easat-5666	165	24	in	in	ADP
easat-5666	165	25	detecting	detect	VERB
easat-5666	165	26	obese	obese	ADJ
easat-5666	165	27	rats	rat	NOUN
easat-5666	165	28	.	.	PUNCT
easat-5666	166	1	this	this	PRON
easat-5666	166	2	suggests	suggest	VERB
easat-5666	166	3	that	that	SCONJ
easat-5666	166	4	k	k	PROPN
easat-5666	166	5	-	-	PUNCT
easat-5666	166	6	nn	nn	PROPN
easat-5666	166	7	is	be	AUX
easat-5666	166	8	particularly	particularly	ADV
easat-5666	166	9	well	well	ADV
easat-5666	166	10	-	-	PUNCT
easat-5666	166	11	suited	suit	VERB
easat-5666	166	12	for	for	ADP
easat-5666	166	13	cases	case	NOUN
easat-5666	166	14	where	where	SCONJ
easat-5666	166	15	identifying	identify	VERB
easat-5666	166	16	obese	obese	ADJ
easat-5666	166	17	rats	rat	NOUN
easat-5666	166	18	is	be	AUX
easat-5666	166	19	the	the	DET
easat-5666	166	20	primary	primary	ADJ
easat-5666	166	21	concern	concern	NOUN
easat-5666	166	22	(	(	PUNCT
easat-5666	166	23	e.g.	e.g.	ADV
easat-5666	166	24	,	,	PUNCT
easat-5666	166	25	in	in	ADP
easat-5666	166	26	clinical	clinical	ADJ
easat-5666	166	27	or	or	CCONJ
easat-5666	166	28	research	research	NOUN
easat-5666	166	29	settings	setting	NOUN
easat-5666	166	30	where	where	SCONJ
easat-5666	166	31	early	early	ADJ
easat-5666	166	32	detection	detection	NOUN
easat-5666	166	33	is	be	AUX
easat-5666	166	34	important	important	ADJ
easat-5666	166	35	)	)	PUNCT
easat-5666	166	36	.	.	PUNCT
easat-5666	167	1	the	the	DET
easat-5666	167	2	svm	svm	PROPN
easat-5666	167	3	model	model	NOUN
easat-5666	167	4	performed	perform	VERB
easat-5666	167	5	admirably	admirably	ADV
easat-5666	167	6	,	,	PUNCT
easat-5666	167	7	achieving	achieve	VERB
easat-5666	167	8	an	an	DET
easat-5666	167	9	accuracy	accuracy	NOUN
easat-5666	167	10	of	of	ADP
easat-5666	167	11	95.8	95.8	NUM
easat-5666	167	12	%	%	NOUN
easat-5666	167	13	.	.	PUNCT
easat-5666	168	1	the	the	DET
easat-5666	168	2	rbf	rbf	PROPN
easat-5666	168	3	kernel	kernel	PROPN
easat-5666	168	4	used	use	VERB
easat-5666	168	5	in	in	ADP
easat-5666	168	6	the	the	DET
easat-5666	168	7	svm	svm	ADJ
easat-5666	168	8	model	model	NOUN
easat-5666	168	9	allowed	allow	VERB
easat-5666	168	10	it	it	PRON
easat-5666	168	11	to	to	PART
easat-5666	168	12	handle	handle	VERB
easat-5666	168	13	the	the	DET
easat-5666	168	14	non	non	NOUN
easat-5666	168	15	-	-	NOUN
easat-5666	168	16	linearity	linearity	NOUN
easat-5666	168	17	in	in	ADP
easat-5666	168	18	the	the	DET
easat-5666	168	19	data	datum	NOUN
easat-5666	168	20	effectively	effectively	ADV
easat-5666	168	21	.	.	PUNCT
easat-5666	169	1	the	the	DET
easat-5666	169	2	high	high	ADJ
easat-5666	169	3	recall	recall	NOUN
easat-5666	169	4	(	(	PUNCT
easat-5666	169	5	97.2	97.2	NUM
easat-5666	169	6	%	%	NOUN
easat-5666	169	7	)	)	PUNCT
easat-5666	169	8	indicates	indicate	VERB
easat-5666	169	9	that	that	SCONJ
easat-5666	169	10	svm	svm	PROPN
easat-5666	169	11	was	be	AUX
easat-5666	169	12	very	very	ADV
easat-5666	169	13	good	good	ADJ
easat-5666	169	14	at	at	ADP
easat-5666	169	15	identifying	identify	VERB
easat-5666	169	16	obese	obese	ADJ
easat-5666	169	17	rats	rat	NOUN
easat-5666	169	18	,	,	PUNCT
easat-5666	169	19	similar	similar	ADJ
easat-5666	169	20	to	to	ADP
easat-5666	169	21	k	k	X
easat-5666	169	22	-	-	PUNCT
easat-5666	169	23	nn	nn	PROPN
easat-5666	169	24	.	.	PROPN
easat-5666	169	25	however	however	ADV
easat-5666	169	26	,	,	PUNCT
easat-5666	169	27	the	the	DET
easat-5666	169	28	slightly	slightly	ADV
easat-5666	169	29	lower	low	ADJ
easat-5666	169	30	precision	precision	NOUN
easat-5666	169	31	compared	compare	VERB
easat-5666	169	32	to	to	ADP
easat-5666	169	33	rf	rf	PRON
easat-5666	169	34	suggests	suggest	NOUN
easat-5666	169	35	that	that	SCONJ
easat-5666	169	36	svm	svm	PROPN
easat-5666	169	37	may	may	AUX
easat-5666	169	38	have	have	AUX
easat-5666	169	39	classified	classify	VERB
easat-5666	169	40	some	some	DET
easat-5666	169	41	non	non	ADJ
easat-5666	169	42	-	-	ADJ
easat-5666	169	43	obese	obese	ADJ
easat-5666	169	44	rats	rat	NOUN
easat-5666	169	45	as	as	ADP
easat-5666	169	46	obese	obese	ADJ
easat-5666	169	47	.	.	PUNCT
easat-5666	170	1	when	when	SCONJ
easat-5666	170	2	we	we	PRON
easat-5666	170	3	analyze	analyze	VERB
easat-5666	170	4	,	,	PUNCT
easat-5666	170	5	the	the	DET
easat-5666	170	6	impact	impact	NOUN
easat-5666	170	7	of	of	ADP
easat-5666	170	8	data	datum	NOUN
easat-5666	170	9	preprocessing	preprocessing	NOUN
easat-5666	170	10	and	and	CCONJ
easat-5666	170	11	feature	feature	NOUN
easat-5666	170	12	selection	selection	NOUN
easat-5666	170	13	;	;	PUNCT
easat-5666	170	14	the	the	DET
easat-5666	170	15	preprocessing	preprocessing	NOUN
easat-5666	170	16	steps	step	NOUN
easat-5666	170	17	,	,	PUNCT
easat-5666	170	18	including	include	VERB
easat-5666	170	19	data	datum	NOUN
easat-5666	170	20	cleaning	cleaning	NOUN
easat-5666	170	21	,	,	PUNCT
easat-5666	170	22	normalization	normalization	NOUN
easat-5666	170	23	,	,	PUNCT
easat-5666	170	24	and	and	CCONJ
easat-5666	170	25	feature	feature	NOUN
easat-5666	170	26	selection	selection	NOUN
easat-5666	170	27	,	,	PUNCT
easat-5666	170	28	played	play	VERB
easat-5666	170	29	a	a	DET
easat-5666	170	30	crucial	crucial	ADJ
easat-5666	170	31	role	role	NOUN
easat-5666	170	32	in	in	ADP
easat-5666	170	33	improving	improve	VERB
easat-5666	170	34	the	the	DET
easat-5666	170	35	models	model	NOUN
easat-5666	170	36	'	'	PART
easat-5666	170	37	performance	performance	NOUN
easat-5666	170	38	.	.	PUNCT
easat-5666	171	1	missing	miss	VERB
easat-5666	171	2	values	value	NOUN
easat-5666	171	3	were	be	AUX
easat-5666	171	4	imputed	impute	VERB
easat-5666	171	5	using	use	VERB
easat-5666	171	6	mean	mean	ADJ
easat-5666	171	7	values	value	NOUN
easat-5666	171	8	,	,	PUNCT
easat-5666	171	9	and	and	CCONJ
easat-5666	171	10	rows	row	VERB
easat-5666	171	11	with	with	ADP
easat-5666	171	12	substantial	substantial	ADJ
easat-5666	171	13	missing	missing	ADJ
easat-5666	171	14	data	datum	NOUN
easat-5666	171	15	were	be	AUX
easat-5666	171	16	excluded	exclude	VERB
easat-5666	171	17	.	.	PUNCT
easat-5666	172	1	data	datum	NOUN
easat-5666	172	2	normalization	normalization	NOUN
easat-5666	172	3	ensured	ensure	VERB
easat-5666	172	4	that	that	SCONJ
easat-5666	172	5	all	all	DET
easat-5666	172	6	features	feature	NOUN
easat-5666	172	7	had	have	VERB
easat-5666	172	8	the	the	DET
easat-5666	172	9	same	same	ADJ
easat-5666	172	10	scale	scale	NOUN
easat-5666	172	11	,	,	PUNCT
easat-5666	172	12	which	which	PRON
easat-5666	172	13	is	be	AUX
easat-5666	172	14	particularly	particularly	ADV
easat-5666	172	15	important	important	ADJ
easat-5666	172	16	for	for	ADP
easat-5666	172	17	distance	distance	NOUN
easat-5666	172	18	-	-	PUNCT
easat-5666	172	19	based	base	VERB
easat-5666	172	20	algorithms	algorithm	NOUN
easat-5666	172	21	like	like	ADP
easat-5666	172	22	k	k	PROPN
easat-5666	172	23	-	-	PUNCT
easat-5666	172	24	nn	nn	PROPN
easat-5666	172	25	and	and	CCONJ
easat-5666	172	26	svm	svm	PROPN
easat-5666	172	27	.	.	PROPN
easat-5666	172	28	feature	feature	NOUN
easat-5666	172	29	selection	selection	NOUN
easat-5666	172	30	was	be	AUX
easat-5666	172	31	also	also	ADV
easat-5666	172	32	essential	essential	ADJ
easat-5666	172	33	for	for	ADP
easat-5666	172	34	improving	improve	VERB
easat-5666	172	35	model	model	NOUN
easat-5666	172	36	accuracy	accuracy	NOUN
easat-5666	172	37	.	.	PUNCT
easat-5666	173	1	by	by	ADP
easat-5666	173	2	eliminating	eliminate	VERB
easat-5666	173	3	irrelevant	irrelevant	ADJ
easat-5666	173	4	or	or	CCONJ
easat-5666	173	5	redundant	redundant	ADJ
easat-5666	173	6	features	feature	NOUN
easat-5666	173	7	,	,	PUNCT
easat-5666	173	8	the	the	DET
easat-5666	173	9	models	model	NOUN
easat-5666	173	10	were	be	AUX
easat-5666	173	11	able	able	ADJ
easat-5666	173	12	to	to	PART
easat-5666	173	13	focus	focus	VERB
easat-5666	173	14	on	on	ADP
easat-5666	173	15	the	the	DET
easat-5666	173	16	most	most	ADV
easat-5666	173	17	relevant	relevant	ADJ
easat-5666	173	18	variables	variable	NOUN
easat-5666	173	19	for	for	ADP
easat-5666	173	20	obesity	obesity	NOUN
easat-5666	173	21	detection	detection	NOUN
easat-5666	173	22	,	,	PUNCT
easat-5666	173	23	reducing	reduce	VERB
easat-5666	173	24	noise	noise	NOUN
easat-5666	173	25	and	and	CCONJ
easat-5666	173	26	improving	improve	VERB
easat-5666	173	27	the	the	DET
easat-5666	173	28	classification	classification	NOUN
easat-5666	173	29	performance	performance	NOUN
easat-5666	173	30	.	.	PUNCT
easat-5666	174	1	the	the	DET
easat-5666	174	2	chosen	choose	VERB
easat-5666	174	3	features	feature	NOUN
easat-5666	174	4	,	,	PUNCT
easat-5666	174	5	such	such	ADJ
easat-5666	174	6	as	as	ADP
easat-5666	174	7	body	body	NOUN
easat-5666	174	8	weight	weight	NOUN
easat-5666	174	9	,	,	PUNCT
easat-5666	174	10	lipid	lipid	NOUN
easat-5666	174	11	profile	profile	NOUN
easat-5666	174	12	,	,	PUNCT
easat-5666	174	13	and	and	CCONJ
easat-5666	174	14	oxidative	oxidative	ADJ
easat-5666	174	15	stress	stress	NOUN
easat-5666	174	16	markers	marker	NOUN
easat-5666	174	17	(	(	PUNCT
easat-5666	174	18	tas	ta	NOUN
easat-5666	174	19	and	and	CCONJ
easat-5666	174	20	tos	to	NOUN
easat-5666	174	21	)	)	PUNCT
easat-5666	174	22	,	,	PUNCT
easat-5666	174	23	were	be	AUX
easat-5666	174	24	particularly	particularly	ADV
easat-5666	174	25	significant	significant	ADJ
easat-5666	174	26	in	in	ADP
easat-5666	174	27	distinguishing	distinguish	VERB
easat-5666	174	28	obese	obese	ADJ
easat-5666	174	29	rats	rat	NOUN
easat-5666	174	30	from	from	ADP
easat-5666	174	31	non	non	ADJ
easat-5666	174	32	-	-	ADJ
easat-5666	174	33	obese	obese	ADJ
easat-5666	174	34	rats	rat	NOUN
easat-5666	174	35	.	.	PUNCT
easat-5666	175	1	3.2	3.2	NUM
easat-5666	175	2	.	.	PUNCT
easat-5666	175	3	evaluation	evaluation	NOUN
easat-5666	175	4	metrics	metric	NOUN
easat-5666	175	5	discussion	discussion	NOUN
easat-5666	175	6	•	•	NOUN
easat-5666	175	7	accuracy	accuracy	NOUN
easat-5666	175	8	:	:	PUNCT
easat-5666	175	9	accuracy	accuracy	NOUN
easat-5666	175	10	is	be	AUX
easat-5666	175	11	a	a	DET
easat-5666	175	12	commonly	commonly	ADV
easat-5666	175	13	used	use	VERB
easat-5666	175	14	metric	metric	NOUN
easat-5666	175	15	to	to	PART
easat-5666	175	16	evaluate	evaluate	VERB
easat-5666	175	17	model	model	NOUN
easat-5666	175	18	performance	performance	NOUN
easat-5666	175	19	,	,	PUNCT
easat-5666	175	20	but	but	CCONJ
easat-5666	175	21	it	it	PRON
easat-5666	175	22	can	can	AUX
easat-5666	175	23	be	be	AUX
easat-5666	175	24	misleading	misleading	ADJ
easat-5666	175	25	,	,	PUNCT
easat-5666	175	26	especially	especially	ADV
easat-5666	175	27	in	in	ADP
easat-5666	175	28	imbalanced	imbalanced	ADJ
easat-5666	175	29	datasets	dataset	NOUN
easat-5666	175	30	.	.	PUNCT
easat-5666	176	1	in	in	ADP
easat-5666	176	2	this	this	DET
easat-5666	176	3	study	study	NOUN
easat-5666	176	4	,	,	PUNCT
easat-5666	176	5	the	the	DET
easat-5666	176	6	high	high	ADJ
easat-5666	176	7	accuracy	accuracy	NOUN
easat-5666	176	8	rates	rate	NOUN
easat-5666	176	9	observed	observe	VERB
easat-5666	176	10	for	for	ADP
easat-5666	176	11	all	all	DET
easat-5666	176	12	models	model	NOUN
easat-5666	176	13	indicate	indicate	VERB
easat-5666	176	14	that	that	SCONJ
easat-5666	176	15	they	they	PRON
easat-5666	176	16	were	be	AUX
easat-5666	176	17	effective	effective	ADJ
easat-5666	176	18	in	in	ADP
easat-5666	176	19	classifying	classify	VERB
easat-5666	176	20	rats	rat	NOUN
easat-5666	176	21	correctly	correctly	ADV
easat-5666	176	22	into	into	ADP
easat-5666	176	23	the	the	DET
easat-5666	176	24	two	two	NUM
easat-5666	176	25	categories	category	NOUN
easat-5666	176	26	(	(	PUNCT
easat-5666	176	27	obese	obese	NOUN
easat-5666	176	28	vs.	vs.	CCONJ
easat-5666	176	29	non	non	ADJ
easat-5666	176	30	-	-	ADJ
easat-5666	176	31	obese	obese	ADJ
easat-5666	176	32	)	)	PUNCT
easat-5666	176	33	.	.	PUNCT
easat-5666	177	1	•	•	NUM
easat-5666	177	2	precision	precision	NOUN
easat-5666	177	3	:	:	PUNCT
easat-5666	177	4	precision	precision	NOUN
easat-5666	177	5	measures	measure	VERB
easat-5666	177	6	the	the	DET
easat-5666	177	7	proportion	proportion	NOUN
easat-5666	177	8	of	of	ADP
easat-5666	177	9	true	true	ADJ
easat-5666	177	10	positive	positive	ADJ
easat-5666	177	11	obese	obese	ADJ
easat-5666	177	12	rats	rat	NOUN
easat-5666	177	13	among	among	ADP
easat-5666	177	14	all	all	DET
easat-5666	177	15	rats	rat	NOUN
easat-5666	177	16	classified	classify	VERB
easat-5666	177	17	as	as	ADP
easat-5666	177	18	obese	obese	ADJ
easat-5666	177	19	.	.	PUNCT
easat-5666	178	1	high	high	ADJ
easat-5666	178	2	precision	precision	NOUN
easat-5666	178	3	indicates	indicate	VERB
easat-5666	178	4	that	that	SCONJ
easat-5666	178	5	the	the	DET
easat-5666	178	6	models	model	NOUN
easat-5666	178	7	were	be	AUX
easat-5666	178	8	good	good	ADJ
easat-5666	178	9	at	at	ADP
easat-5666	178	10	not	not	PART
easat-5666	178	11	misclassifying	misclassifye	VERB
easat-5666	178	12	non	non	ADJ
easat-5666	178	13	-	-	ADJ
easat-5666	178	14	obese	obese	ADJ
easat-5666	178	15	1672	1672	NUM
easat-5666	178	16	edelweiss	edelweiss	PROPN
easat-5666	178	17	applied	apply	VERB
easat-5666	178	18	science	science	NOUN
easat-5666	178	19	and	and	CCONJ
easat-5666	178	20	technology	technology	NOUN
easat-5666	178	21	issn	issn	PROPN
easat-5666	178	22	:	:	PUNCT
easat-5666	178	23	2576	2576	NUM
easat-5666	178	24	-	-	SYM
easat-5666	178	25	8484	8484	NUM
easat-5666	178	26	vol	vol	NOUN
easat-5666	178	27	.	.	PROPN
easat-5666	179	1	9	9	NUM
easat-5666	179	2	,	,	PUNCT
easat-5666	179	3	no	no	INTJ
easat-5666	179	4	.	.	NOUN
easat-5666	180	1	3	3	NUM
easat-5666	180	2	:	:	PUNCT
easat-5666	180	3	1665	1665	NUM
easat-5666	180	4	-	-	SYM
easat-5666	180	5	1674	1674	NUM
easat-5666	180	6	,	,	PUNCT
easat-5666	180	7	2025	2025	NUM
easat-5666	180	8	doi	doi	NOUN
easat-5666	180	9	:	:	PUNCT
easat-5666	180	10	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	180	11	©	©	NOUN
easat-5666	180	12	2025	2025	NUM
easat-5666	180	13	by	by	ADP
easat-5666	180	14	the	the	DET
easat-5666	180	15	authors	author	NOUN
easat-5666	180	16	;	;	PUNCT
easat-5666	180	17	licensee	licensee	PROPN
easat-5666	180	18	learning	learn	VERB
easat-5666	180	19	gate	gate	NOUN
easat-5666	180	20	rats	rat	NOUN
easat-5666	180	21	as	as	ADP
easat-5666	180	22	obese	obese	ADJ
easat-5666	180	23	.	.	PUNCT
easat-5666	181	1	while	while	SCONJ
easat-5666	181	2	random	random	ADJ
easat-5666	181	3	forest	forest	NOUN
easat-5666	181	4	performed	perform	VERB
easat-5666	181	5	best	well	ADV
easat-5666	181	6	in	in	ADP
easat-5666	181	7	precision	precision	NOUN
easat-5666	181	8	,	,	PUNCT
easat-5666	181	9	the	the	DET
easat-5666	181	10	svm	svm	PROPN
easat-5666	181	11	and	and	CCONJ
easat-5666	181	12	k	k	PROPN
easat-5666	181	13	-	-	PUNCT
easat-5666	181	14	nn	nn	ADJ
easat-5666	181	15	models	model	NOUN
easat-5666	181	16	still	still	ADV
easat-5666	181	17	achieved	achieve	VERB
easat-5666	181	18	competitive	competitive	ADJ
easat-5666	181	19	precision	precision	NOUN
easat-5666	181	20	rates	rate	NOUN
easat-5666	181	21	,	,	PUNCT
easat-5666	181	22	indicating	indicate	VERB
easat-5666	181	23	low	low	ADJ
easat-5666	181	24	false	false	ADJ
easat-5666	181	25	positive	positive	ADJ
easat-5666	181	26	rates	rate	NOUN
easat-5666	181	27	.	.	PUNCT
easat-5666	182	1	•	•	NUM
easat-5666	182	2	recall	recall	NOUN
easat-5666	182	3	:	:	PUNCT
easat-5666	182	4	recall	recall	NOUN
easat-5666	182	5	is	be	AUX
easat-5666	182	6	the	the	DET
easat-5666	182	7	proportion	proportion	NOUN
easat-5666	182	8	of	of	ADP
easat-5666	182	9	true	true	ADJ
easat-5666	182	10	positive	positive	ADJ
easat-5666	182	11	obese	obese	NOUN
easat-5666	182	12	rats	rat	NOUN
easat-5666	182	13	that	that	PRON
easat-5666	182	14	were	be	AUX
easat-5666	182	15	correctly	correctly	ADV
easat-5666	182	16	identified	identify	VERB
easat-5666	182	17	by	by	ADP
easat-5666	182	18	the	the	DET
easat-5666	182	19	model	model	NOUN
easat-5666	182	20	.	.	PUNCT
easat-5666	183	1	high	high	ADJ
easat-5666	183	2	recall	recall	NOUN
easat-5666	183	3	is	be	AUX
easat-5666	183	4	essential	essential	ADJ
easat-5666	183	5	in	in	ADP
easat-5666	183	6	medical	medical	ADJ
easat-5666	183	7	applications	application	NOUN
easat-5666	183	8	,	,	PUNCT
easat-5666	183	9	as	as	SCONJ
easat-5666	183	10	it	it	PRON
easat-5666	183	11	ensures	ensure	VERB
easat-5666	183	12	that	that	SCONJ
easat-5666	183	13	obese	obese	ADJ
easat-5666	183	14	rats	rat	NOUN
easat-5666	183	15	are	be	AUX
easat-5666	183	16	not	not	PART
easat-5666	183	17	overlooked	overlook	VERB
easat-5666	183	18	.	.	PUNCT
easat-5666	184	1	random	random	ADJ
easat-5666	184	2	forest	forest	NOUN
easat-5666	184	3	and	and	CCONJ
easat-5666	184	4	svm	svm	PROPN
easat-5666	184	5	both	both	PRON
easat-5666	184	6	achieved	achieve	VERB
easat-5666	184	7	high	high	ADJ
easat-5666	184	8	recall	recall	NOUN
easat-5666	184	9	scores	score	NOUN
easat-5666	184	10	,	,	PUNCT
easat-5666	184	11	meaning	mean	VERB
easat-5666	184	12	these	these	DET
easat-5666	184	13	models	model	NOUN
easat-5666	184	14	were	be	AUX
easat-5666	184	15	highly	highly	ADV
easat-5666	184	16	effective	effective	ADJ
easat-5666	184	17	in	in	ADP
easat-5666	184	18	identifying	identify	VERB
easat-5666	184	19	obese	obese	ADJ
easat-5666	184	20	rats	rat	NOUN
easat-5666	184	21	,	,	PUNCT
easat-5666	184	22	which	which	PRON
easat-5666	184	23	is	be	AUX
easat-5666	184	24	crucial	crucial	ADJ
easat-5666	184	25	for	for	ADP
easat-5666	184	26	early	early	ADJ
easat-5666	184	27	diagnosis	diagnosis	NOUN
easat-5666	184	28	and	and	CCONJ
easat-5666	184	29	intervention	intervention	NOUN
easat-5666	184	30	in	in	ADP
easat-5666	184	31	research	research	NOUN
easat-5666	184	32	.	.	PUNCT
easat-5666	185	1	•	•	NUM
easat-5666	185	2	f1	f1	NOUN
easat-5666	185	3	-	-	PUNCT
easat-5666	185	4	score	score	NOUN
easat-5666	185	5	:	:	PUNCT
easat-5666	185	6	the	the	DET
easat-5666	185	7	f1	f1	NOUN
easat-5666	185	8	-	-	PUNCT
easat-5666	185	9	score	score	NOUN
easat-5666	185	10	,	,	PUNCT
easat-5666	185	11	which	which	PRON
easat-5666	185	12	balances	balance	VERB
easat-5666	185	13	precision	precision	NOUN
easat-5666	185	14	and	and	CCONJ
easat-5666	185	15	recall	recall	NOUN
easat-5666	185	16	,	,	PUNCT
easat-5666	185	17	was	be	AUX
easat-5666	185	18	highest	high	ADJ
easat-5666	185	19	in	in	ADP
easat-5666	185	20	random	random	ADJ
easat-5666	185	21	forest	forest	NOUN
easat-5666	185	22	,	,	PUNCT
easat-5666	185	23	with	with	ADP
easat-5666	185	24	a	a	DET
easat-5666	185	25	score	score	NOUN
easat-5666	185	26	of	of	ADP
easat-5666	185	27	97.3	97.3	NUM
easat-5666	185	28	%	%	NOUN
easat-5666	185	29	.	.	PUNCT
easat-5666	186	1	this	this	PRON
easat-5666	186	2	suggests	suggest	VERB
easat-5666	186	3	that	that	SCONJ
easat-5666	186	4	random	random	ADJ
easat-5666	186	5	forest	forest	NOUN
easat-5666	186	6	had	have	VERB
easat-5666	186	7	the	the	DET
easat-5666	186	8	most	most	ADV
easat-5666	186	9	balanced	balanced	ADJ
easat-5666	186	10	performance	performance	NOUN
easat-5666	186	11	,	,	PUNCT
easat-5666	186	12	correctly	correctly	ADV
easat-5666	186	13	identifying	identify	VERB
easat-5666	186	14	obese	obese	ADJ
easat-5666	186	15	rats	rat	NOUN
easat-5666	186	16	while	while	SCONJ
easat-5666	186	17	minimizing	minimize	VERB
easat-5666	186	18	false	false	ADJ
easat-5666	186	19	positives	positive	NOUN
easat-5666	186	20	.	.	PUNCT
easat-5666	187	1	the	the	DET
easat-5666	187	2	f1	f1	NOUN
easat-5666	187	3	-	-	PUNCT
easat-5666	187	4	scores	score	NOUN
easat-5666	187	5	for	for	ADP
easat-5666	187	6	svm	svm	PROPN
easat-5666	187	7	and	and	CCONJ
easat-5666	187	8	knn	knn	PROPN
easat-5666	187	9	were	be	AUX
easat-5666	187	10	also	also	ADV
easat-5666	187	11	competitive	competitive	ADJ
easat-5666	187	12	,	,	PUNCT
easat-5666	187	13	suggesting	suggest	VERB
easat-5666	187	14	these	these	DET
easat-5666	187	15	models	model	NOUN
easat-5666	187	16	also	also	ADV
easat-5666	187	17	performed	perform	VERB
easat-5666	187	18	well	well	ADV
easat-5666	187	19	in	in	ADP
easat-5666	187	20	balancing	balance	VERB
easat-5666	187	21	both	both	DET
easat-5666	187	22	metrics	metric	NOUN
easat-5666	187	23	.	.	PUNCT
easat-5666	188	1	3.3	3.3	NUM
easat-5666	188	2	.	.	PUNCT
easat-5666	188	3	generalization	generalization	NOUN
easat-5666	188	4	and	and	CCONJ
easat-5666	188	5	practical	practical	ADJ
easat-5666	188	6	application	application	NOUN
easat-5666	188	7	the	the	DET
easat-5666	188	8	results	result	NOUN
easat-5666	188	9	from	from	ADP
easat-5666	188	10	this	this	DET
easat-5666	188	11	study	study	NOUN
easat-5666	188	12	highlight	highlight	VERB
easat-5666	188	13	that	that	DET
easat-5666	188	14	machine	machine	NOUN
easat-5666	188	15	learning	learning	NOUN
easat-5666	188	16	models	model	NOUN
easat-5666	188	17	,	,	PUNCT
easat-5666	188	18	especially	especially	ADV
easat-5666	188	19	random	random	ADJ
easat-5666	188	20	forest	forest	NOUN
easat-5666	188	21	,	,	PUNCT
easat-5666	188	22	can	can	AUX
easat-5666	188	23	be	be	AUX
easat-5666	188	24	effectively	effectively	ADV
easat-5666	188	25	used	use	VERB
easat-5666	188	26	for	for	ADP
easat-5666	188	27	obesity	obesity	NOUN
easat-5666	188	28	detection	detection	NOUN
easat-5666	188	29	in	in	ADP
easat-5666	188	30	rats	rat	NOUN
easat-5666	188	31	,	,	PUNCT
easat-5666	188	32	with	with	ADP
easat-5666	188	33	potential	potential	ADJ
easat-5666	188	34	applications	application	NOUN
easat-5666	188	35	in	in	ADP
easat-5666	188	36	preclinical	preclinical	ADJ
easat-5666	188	37	research	research	NOUN
easat-5666	188	38	on	on	ADP
easat-5666	188	39	metabolic	metabolic	NOUN
easat-5666	188	40	diseases	disease	NOUN
easat-5666	188	41	,	,	PUNCT
easat-5666	188	42	obesity	obesity	NOUN
easat-5666	188	43	-	-	PUNCT
easat-5666	188	44	related	relate	VERB
easat-5666	188	45	comorbidities	comorbiditie	NOUN
easat-5666	188	46	,	,	PUNCT
easat-5666	188	47	and	and	CCONJ
easat-5666	188	48	pharmacological	pharmacological	ADJ
easat-5666	188	49	interventions	intervention	NOUN
easat-5666	188	50	.	.	PUNCT
easat-5666	189	1	these	these	DET
easat-5666	189	2	models	model	NOUN
easat-5666	189	3	can	can	AUX
easat-5666	189	4	be	be	AUX
easat-5666	189	5	generalized	generalize	VERB
easat-5666	189	6	to	to	PART
easat-5666	189	7	detect	detect	VERB
easat-5666	189	8	obesity	obesity	NOUN
easat-5666	189	9	in	in	ADP
easat-5666	189	10	larger	large	ADJ
easat-5666	189	11	populations	population	NOUN
easat-5666	189	12	of	of	ADP
easat-5666	189	13	rats	rat	NOUN
easat-5666	189	14	or	or	CCONJ
easat-5666	189	15	even	even	ADV
easat-5666	189	16	in	in	ADP
easat-5666	189	17	other	other	ADJ
easat-5666	189	18	animals	animal	NOUN
easat-5666	189	19	,	,	PUNCT
easat-5666	189	20	provided	provide	VERB
easat-5666	189	21	that	that	SCONJ
easat-5666	189	22	relevant	relevant	ADJ
easat-5666	189	23	features	feature	NOUN
easat-5666	189	24	(	(	PUNCT
easat-5666	189	25	e.g.	e.g.	ADV
easat-5666	189	26	,	,	PUNCT
easat-5666	189	27	weight	weight	NOUN
easat-5666	189	28	,	,	PUNCT
easat-5666	189	29	lipid	lipid	NOUN
easat-5666	189	30	profile	profile	NOUN
easat-5666	189	31	,	,	PUNCT
easat-5666	189	32	glucose	glucose	NOUN
easat-5666	189	33	levels	level	NOUN
easat-5666	189	34	)	)	PUNCT
easat-5666	189	35	are	be	AUX
easat-5666	189	36	measured	measure	VERB
easat-5666	189	37	and	and	CCONJ
easat-5666	189	38	used	use	VERB
easat-5666	189	39	for	for	ADP
easat-5666	189	40	model	model	NOUN
easat-5666	189	41	training	training	NOUN
easat-5666	189	42	.	.	PUNCT
easat-5666	190	1	additionally	additionally	ADV
easat-5666	190	2	,	,	PUNCT
easat-5666	190	3	these	these	DET
easat-5666	190	4	models	model	NOUN
easat-5666	190	5	can	can	AUX
easat-5666	190	6	potentially	potentially	ADV
easat-5666	190	7	be	be	AUX
easat-5666	190	8	adapted	adapt	VERB
easat-5666	190	9	for	for	ADP
easat-5666	190	10	human	human	ADJ
easat-5666	190	11	obesity	obesity	NOUN
easat-5666	190	12	detection	detection	NOUN
easat-5666	190	13	,	,	PUNCT
easat-5666	190	14	where	where	SCONJ
easat-5666	190	15	similar	similar	ADJ
easat-5666	190	16	metabolic	metabolic	NOUN
easat-5666	190	17	and	and	CCONJ
easat-5666	190	18	physiological	physiological	ADJ
easat-5666	190	19	markers	marker	NOUN
easat-5666	190	20	are	be	AUX
easat-5666	190	21	used	use	VERB
easat-5666	190	22	in	in	ADP
easat-5666	190	23	clinical	clinical	ADJ
easat-5666	190	24	settings	setting	NOUN
easat-5666	190	25	.	.	PUNCT
easat-5666	191	1	3.4	3.4	NUM
easat-5666	191	2	.	.	PUNCT
easat-5666	191	3	limitations	limitation	NOUN
easat-5666	191	4	and	and	CCONJ
easat-5666	191	5	future	future	ADJ
easat-5666	191	6	work	work	NOUN
easat-5666	191	7	while	while	SCONJ
easat-5666	191	8	the	the	DET
easat-5666	191	9	models	model	NOUN
easat-5666	191	10	in	in	ADP
easat-5666	191	11	this	this	DET
easat-5666	191	12	study	study	NOUN
easat-5666	191	13	performed	perform	VERB
easat-5666	191	14	well	well	ADV
easat-5666	191	15	,	,	PUNCT
easat-5666	191	16	there	there	PRON
easat-5666	191	17	are	be	VERB
easat-5666	191	18	several	several	ADJ
easat-5666	191	19	limitations	limitation	NOUN
easat-5666	191	20	to	to	PART
easat-5666	191	21	consider	consider	VERB
easat-5666	191	22	:	:	PUNCT
easat-5666	191	23	•	•	NUM
easat-5666	191	24	dataset	dataset	ADJ
easat-5666	191	25	size	size	NOUN
easat-5666	191	26	:	:	PUNCT
easat-5666	191	27	the	the	DET
easat-5666	191	28	models	model	NOUN
easat-5666	191	29	were	be	AUX
easat-5666	191	30	trained	train	VERB
easat-5666	191	31	on	on	ADP
easat-5666	191	32	a	a	DET
easat-5666	191	33	relatively	relatively	ADV
easat-5666	191	34	small	small	ADJ
easat-5666	191	35	dataset	dataset	NOUN
easat-5666	191	36	(	(	PUNCT
easat-5666	191	37	e.g.	e.g.	ADV
easat-5666	191	38	,	,	PUNCT
easat-5666	191	39	10	10	NUM
easat-5666	191	40	obese	obese	ADJ
easat-5666	191	41	and	and	CCONJ
easat-5666	191	42	10	10	NUM
easat-5666	191	43	nonobese	nonobese	ADJ
easat-5666	191	44	rats	rat	NOUN
easat-5666	191	45	)	)	PUNCT
easat-5666	191	46	,	,	PUNCT
easat-5666	191	47	which	which	PRON
easat-5666	191	48	may	may	AUX
easat-5666	191	49	limit	limit	VERB
easat-5666	191	50	their	their	PRON
easat-5666	191	51	ability	ability	NOUN
easat-5666	191	52	to	to	PART
easat-5666	191	53	generalize	generalize	VERB
easat-5666	191	54	to	to	ADP
easat-5666	191	55	larger	large	ADJ
easat-5666	191	56	populations	population	NOUN
easat-5666	191	57	.	.	PUNCT
easat-5666	192	1	future	future	ADJ
easat-5666	192	2	work	work	NOUN
easat-5666	192	3	could	could	AUX
easat-5666	192	4	involve	involve	VERB
easat-5666	192	5	increasing	increase	VERB
easat-5666	192	6	the	the	DET
easat-5666	192	7	sample	sample	NOUN
easat-5666	192	8	size	size	NOUN
easat-5666	192	9	and	and	CCONJ
easat-5666	192	10	diversity	diversity	NOUN
easat-5666	192	11	of	of	ADP
easat-5666	192	12	the	the	DET
easat-5666	192	13	dataset	dataset	NOUN
easat-5666	192	14	to	to	PART
easat-5666	192	15	improve	improve	VERB
easat-5666	192	16	the	the	DET
easat-5666	192	17	robustness	robustness	NOUN
easat-5666	192	18	of	of	ADP
easat-5666	192	19	the	the	DET
easat-5666	192	20	models	model	NOUN
easat-5666	192	21	.	.	PUNCT
easat-5666	193	1	•	•	NUM
easat-5666	193	2	feature	feature	NOUN
easat-5666	193	3	expansion	expansion	NOUN
easat-5666	193	4	:	:	PUNCT
easat-5666	193	5	future	future	ADJ
easat-5666	193	6	studies	study	NOUN
easat-5666	193	7	could	could	AUX
easat-5666	193	8	explore	explore	VERB
easat-5666	193	9	the	the	DET
easat-5666	193	10	inclusion	inclusion	NOUN
easat-5666	193	11	of	of	ADP
easat-5666	193	12	additional	additional	ADJ
easat-5666	193	13	features	feature	NOUN
easat-5666	193	14	,	,	PUNCT
easat-5666	193	15	such	such	ADJ
easat-5666	193	16	as	as	ADP
easat-5666	193	17	hormonal	hormonal	ADJ
easat-5666	193	18	levels	level	NOUN
easat-5666	193	19	(	(	PUNCT
easat-5666	193	20	e.g.	e.g.	ADV
easat-5666	193	21	,	,	PUNCT
easat-5666	193	22	leptin	leptin	NOUN
easat-5666	193	23	,	,	PUNCT
easat-5666	193	24	insulin	insulin	NOUN
easat-5666	193	25	)	)	PUNCT
easat-5666	193	26	,	,	PUNCT
easat-5666	193	27	genetic	genetic	ADJ
easat-5666	193	28	markers	marker	NOUN
easat-5666	193	29	,	,	PUNCT
easat-5666	193	30	or	or	CCONJ
easat-5666	193	31	behavioral	behavioral	ADJ
easat-5666	193	32	data	datum	NOUN
easat-5666	193	33	,	,	PUNCT
easat-5666	193	34	to	to	PART
easat-5666	193	35	improve	improve	VERB
easat-5666	193	36	the	the	DET
easat-5666	193	37	models	model	NOUN
easat-5666	193	38	'	'	PART
easat-5666	193	39	accuracy	accuracy	NOUN
easat-5666	193	40	and	and	CCONJ
easat-5666	193	41	sensitivity	sensitivity	NOUN
easat-5666	193	42	.	.	PUNCT
easat-5666	194	1	•	•	NUM
easat-5666	194	2	model	model	NOUN
easat-5666	194	3	improvement	improvement	NOUN
easat-5666	194	4	:	:	PUNCT
easat-5666	194	5	while	while	SCONJ
easat-5666	194	6	random	random	ADJ
easat-5666	194	7	forest	forest	NOUN
easat-5666	194	8	outperformed	outperform	VERB
easat-5666	194	9	other	other	ADJ
easat-5666	194	10	models	model	NOUN
easat-5666	194	11	,	,	PUNCT
easat-5666	194	12	hybrid	hybrid	ADJ
easat-5666	194	13	approaches	approach	NOUN
easat-5666	194	14	combining	combine	VERB
easat-5666	194	15	multiple	multiple	ADJ
easat-5666	194	16	models	model	NOUN
easat-5666	194	17	or	or	CCONJ
easat-5666	194	18	using	use	VERB
easat-5666	194	19	advanced	advanced	ADJ
easat-5666	194	20	techniques	technique	NOUN
easat-5666	194	21	such	such	ADJ
easat-5666	194	22	as	as	ADP
easat-5666	194	23	ensemble	ensemble	ADJ
easat-5666	194	24	learning	learning	NOUN
easat-5666	194	25	or	or	CCONJ
easat-5666	194	26	deep	deep	ADJ
easat-5666	194	27	learning	learning	NOUN
easat-5666	194	28	could	could	AUX
easat-5666	194	29	yield	yield	VERB
easat-5666	194	30	even	even	ADV
easat-5666	194	31	better	well	ADJ
easat-5666	194	32	results	result	NOUN
easat-5666	194	33	.	.	PUNCT
easat-5666	195	1	additionally	additionally	ADV
easat-5666	195	2	,	,	PUNCT
easat-5666	195	3	hyperparameter	hyperparameter	NOUN
easat-5666	195	4	tuning	tune	VERB
easat-5666	195	5	through	through	ADP
easat-5666	195	6	techniques	technique	NOUN
easat-5666	195	7	like	like	ADP
easat-5666	195	8	grid	grid	NOUN
easat-5666	195	9	search	search	NOUN
easat-5666	195	10	or	or	CCONJ
easat-5666	195	11	random	random	ADJ
easat-5666	195	12	search	search	NOUN
easat-5666	195	13	can	can	AUX
easat-5666	195	14	further	far	ADV
easat-5666	195	15	enhance	enhance	VERB
easat-5666	195	16	the	the	DET
easat-5666	195	17	model	model	NOUN
easat-5666	195	18	performance	performance	NOUN
easat-5666	195	19	.	.	PUNCT
easat-5666	196	1	•	•	NUM
easat-5666	196	2	real	real	ADJ
easat-5666	196	3	-	-	PUNCT
easat-5666	196	4	time	time	NOUN
easat-5666	196	5	application	application	NOUN
easat-5666	196	6	:	:	PUNCT
easat-5666	196	7	translating	translate	VERB
easat-5666	196	8	these	these	DET
easat-5666	196	9	models	model	NOUN
easat-5666	196	10	into	into	ADP
easat-5666	196	11	real	real	ADJ
easat-5666	196	12	-	-	PUNCT
easat-5666	196	13	time	time	NOUN
easat-5666	196	14	applications	application	NOUN
easat-5666	196	15	(	(	PUNCT
easat-5666	196	16	e.g.	e.g.	ADV
easat-5666	196	17	,	,	PUNCT
easat-5666	196	18	continuous	continuous	ADJ
easat-5666	196	19	monitoring	monitoring	NOUN
easat-5666	196	20	of	of	ADP
easat-5666	196	21	obesity	obesity	NOUN
easat-5666	196	22	in	in	ADP
easat-5666	196	23	rats	rat	NOUN
easat-5666	196	24	)	)	PUNCT
easat-5666	196	25	would	would	AUX
easat-5666	196	26	require	require	VERB
easat-5666	196	27	addressing	address	VERB
easat-5666	196	28	challenges	challenge	NOUN
easat-5666	196	29	such	such	ADJ
easat-5666	196	30	as	as	ADP
easat-5666	196	31	model	model	NOUN
easat-5666	196	32	deployment	deployment	NOUN
easat-5666	196	33	,	,	PUNCT
easat-5666	196	34	computational	computational	ADJ
easat-5666	196	35	efficiency	efficiency	NOUN
easat-5666	196	36	,	,	PUNCT
easat-5666	196	37	and	and	CCONJ
easat-5666	196	38	integration	integration	NOUN
easat-5666	196	39	with	with	ADP
easat-5666	196	40	monitoring	monitoring	NOUN
easat-5666	196	41	devices	device	NOUN
easat-5666	196	42	(	(	PUNCT
easat-5666	196	43	e.g.	e.g.	ADV
easat-5666	196	44	,	,	PUNCT
easat-5666	196	45	body	body	NOUN
easat-5666	196	46	weight	weight	NOUN
easat-5666	196	47	sensors	sensor	NOUN
easat-5666	196	48	,	,	PUNCT
easat-5666	196	49	blood	blood	NOUN
easat-5666	196	50	analyzers	analyzer	NOUN
easat-5666	196	51	)	)	PUNCT
easat-5666	196	52	.	.	PUNCT
easat-5666	197	1	4	4	X
easat-5666	197	2	.	.	X
easat-5666	197	3	conclusıon	conclusıon	NOUN
easat-5666	197	4	this	this	DET
easat-5666	197	5	study	study	NOUN
easat-5666	197	6	demonstrated	demonstrate	VERB
easat-5666	197	7	the	the	DET
easat-5666	197	8	potential	potential	NOUN
easat-5666	197	9	of	of	ADP
easat-5666	197	10	machine	machine	NOUN
easat-5666	197	11	learning	learning	NOUN
easat-5666	197	12	algorithms	algorithm	NOUN
easat-5666	197	13	—	—	PUNCT
easat-5666	197	14	random	random	ADJ
easat-5666	197	15	forest	forest	NOUN
easat-5666	197	16	,	,	PUNCT
easat-5666	197	17	k	k	PROPN
easat-5666	197	18	-	-	PUNCT
easat-5666	197	19	nn	nn	NOUN
easat-5666	197	20	,	,	PUNCT
easat-5666	197	21	and	and	CCONJ
easat-5666	197	22	svm	svm	ADJ
easat-5666	197	23	—	—	PUNCT
easat-5666	197	24	for	for	ADP
easat-5666	197	25	effective	effective	ADJ
easat-5666	197	26	obesity	obesity	NOUN
easat-5666	197	27	detection	detection	NOUN
easat-5666	197	28	in	in	ADP
easat-5666	197	29	rats	rat	NOUN
easat-5666	197	30	.	.	PUNCT
easat-5666	198	1	random	random	ADJ
easat-5666	198	2	forest	forest	NOUN
easat-5666	198	3	provided	provide	VERB
easat-5666	198	4	the	the	DET
easat-5666	198	5	best	good	ADJ
easat-5666	198	6	overall	overall	ADJ
easat-5666	198	7	performance	performance	NOUN
easat-5666	198	8	,	,	PUNCT
easat-5666	198	9	while	while	SCONJ
easat-5666	198	10	svm	svm	ADJ
easat-5666	198	11	and	and	CCONJ
easat-5666	198	12	k	k	PROPN
easat-5666	198	13	-	-	PUNCT
easat-5666	198	14	nn	nn	PROPN
easat-5666	198	15	also	also	ADV
easat-5666	198	16	exhibited	exhibit	VERB
easat-5666	198	17	strong	strong	ADJ
easat-5666	198	18	results	result	NOUN
easat-5666	198	19	,	,	PUNCT
easat-5666	198	20	particularly	particularly	ADV
easat-5666	198	21	in	in	ADP
easat-5666	198	22	terms	term	NOUN
easat-5666	198	23	of	of	ADP
easat-5666	198	24	recall	recall	NOUN
easat-5666	198	25	.	.	PUNCT
easat-5666	199	1	these	these	DET
easat-5666	199	2	models	model	NOUN
easat-5666	199	3	have	have	VERB
easat-5666	199	4	promising	promise	VERB
easat-5666	199	5	applications	application	NOUN
easat-5666	199	6	in	in	ADP
easat-5666	199	7	preclinical	preclinical	ADJ
easat-5666	199	8	research	research	NOUN
easat-5666	199	9	and	and	CCONJ
easat-5666	199	10	could	could	AUX
easat-5666	199	11	potentially	potentially	ADV
easat-5666	199	12	be	be	AUX
easat-5666	199	13	extended	extend	VERB
easat-5666	199	14	to	to	ADP
easat-5666	199	15	human	human	ADJ
easat-5666	199	16	studies	study	NOUN
easat-5666	199	17	.	.	PUNCT
easat-5666	200	1	by	by	ADP
easat-5666	200	2	improving	improve	VERB
easat-5666	200	3	dataset	dataset	ADJ
easat-5666	200	4	size	size	NOUN
easat-5666	200	5	,	,	PUNCT
easat-5666	200	6	incorporating	incorporate	VERB
easat-5666	200	7	additional	additional	ADJ
easat-5666	200	8	features	feature	NOUN
easat-5666	200	9	,	,	PUNCT
easat-5666	200	10	and	and	CCONJ
easat-5666	200	11	exploring	explore	VERB
easat-5666	200	12	hybrid	hybrid	ADJ
easat-5666	200	13	approaches	approach	NOUN
easat-5666	200	14	,	,	PUNCT
easat-5666	200	15	future	future	ADJ
easat-5666	200	16	research	research	NOUN
easat-5666	200	17	can	can	AUX
easat-5666	200	18	further	far	ADV
easat-5666	200	19	enhance	enhance	VERB
easat-5666	200	20	the	the	DET
easat-5666	200	21	accuracy	accuracy	NOUN
easat-5666	200	22	and	and	CCONJ
easat-5666	200	23	applicability	applicability	NOUN
easat-5666	200	24	of	of	ADP
easat-5666	200	25	these	these	DET
easat-5666	200	26	models	model	NOUN
easat-5666	200	27	in	in	ADP
easat-5666	200	28	obesity	obesity	NOUN
easat-5666	200	29	detection	detection	NOUN
easat-5666	200	30	.	.	PUNCT
easat-5666	201	1	1673	1673	NUM
easat-5666	201	2	edelweiss	edelweiss	PROPN
easat-5666	201	3	applied	apply	VERB
easat-5666	201	4	science	science	NOUN
easat-5666	201	5	and	and	CCONJ
easat-5666	201	6	technology	technology	NOUN
easat-5666	201	7	issn	issn	PROPN
easat-5666	201	8	:	:	PUNCT
easat-5666	201	9	2576	2576	NUM
easat-5666	201	10	-	-	SYM
easat-5666	201	11	8484	8484	NUM
easat-5666	201	12	vol	vol	NOUN
easat-5666	201	13	.	.	PROPN
easat-5666	202	1	9	9	NUM
easat-5666	202	2	,	,	PUNCT
easat-5666	202	3	no	no	INTJ
easat-5666	202	4	.	.	NOUN
easat-5666	203	1	3	3	NUM
easat-5666	203	2	:	:	PUNCT
easat-5666	203	3	1665	1665	NUM
easat-5666	203	4	-	-	SYM
easat-5666	203	5	1674	1674	NUM
easat-5666	203	6	,	,	PUNCT
easat-5666	203	7	2025	2025	NUM
easat-5666	203	8	doi	doi	NOUN
easat-5666	203	9	:	:	PUNCT
easat-5666	203	10	10.55214/25768484.v9i3.5666	10.55214/25768484.v9i3.5666	NUM
easat-5666	203	11	©	©	NOUN
easat-5666	203	12	2025	2025	NUM
easat-5666	203	13	by	by	ADP
easat-5666	203	14	the	the	DET
easat-5666	203	15	authors	author	NOUN
easat-5666	203	16	;	;	PUNCT
easat-5666	203	17	licensee	licensee	PROPN
easat-5666	203	18	learning	learn	VERB
easat-5666	203	19	gate	gate	NOUN
easat-5666	203	20	transparency	transparency	NOUN
easat-5666	203	21	:	:	PUNCT
easat-5666	203	22	the	the	DET
easat-5666	203	23	authors	author	NOUN
easat-5666	203	24	confirm	confirm	VERB
easat-5666	203	25	that	that	SCONJ
easat-5666	203	26	the	the	DET
easat-5666	203	27	manuscript	manuscript	NOUN
easat-5666	203	28	is	be	AUX
easat-5666	203	29	an	an	DET
easat-5666	203	30	honest	honest	ADJ
easat-5666	203	31	,	,	PUNCT
easat-5666	203	32	accurate	accurate	ADJ
easat-5666	203	33	,	,	PUNCT
easat-5666	203	34	and	and	CCONJ
easat-5666	203	35	transparent	transparent	ADJ
easat-5666	203	36	account	account	NOUN
easat-5666	203	37	of	of	ADP
easat-5666	203	38	the	the	DET
easat-5666	203	39	study	study	NOUN
easat-5666	203	40	;	;	PUNCT
easat-5666	203	41	that	that	SCONJ
easat-5666	203	42	no	no	DET
easat-5666	203	43	vital	vital	ADJ
easat-5666	203	44	features	feature	NOUN
easat-5666	203	45	of	of	ADP
easat-5666	203	46	the	the	DET
easat-5666	203	47	study	study	NOUN
easat-5666	203	48	have	have	AUX
easat-5666	203	49	been	be	AUX
easat-5666	203	50	omitted	omit	VERB
easat-5666	203	51	;	;	PUNCT
easat-5666	203	52	and	and	CCONJ
easat-5666	203	53	that	that	SCONJ
easat-5666	203	54	any	any	DET
easat-5666	203	55	discrepancies	discrepancy	NOUN
easat-5666	203	56	from	from	ADP
easat-5666	203	57	the	the	DET
easat-5666	203	58	study	study	NOUN
easat-5666	203	59	as	as	SCONJ
easat-5666	203	60	planned	plan	VERB
easat-5666	203	61	have	have	AUX
easat-5666	203	62	been	be	AUX
easat-5666	203	63	explained	explain	VERB
easat-5666	203	64	.	.	PUNCT
easat-5666	204	1	this	this	DET
easat-5666	204	2	study	study	NOUN
easat-5666	204	3	followed	follow	VERB
easat-5666	204	4	all	all	DET
easat-5666	204	5	ethical	ethical	ADJ
easat-5666	204	6	practices	practice	NOUN
easat-5666	204	7	during	during	ADP
easat-5666	204	8	writing	writing	NOUN
easat-5666	204	9	.	.	PUNCT
easat-5666	205	1	acknowledgement	acknowledgement	NOUN
easat-5666	205	2	:	:	PUNCT
easat-5666	205	3	for	for	ADP
easat-5666	205	4	this	this	DET
easat-5666	205	5	study	study	NOUN
easat-5666	205	6	,	,	PUNCT
easat-5666	205	7	for	for	ADP
easat-5666	205	8	the	the	DET
easat-5666	205	9	testing	testing	NOUN
easat-5666	205	10	and	and	CCONJ
easat-5666	205	11	proofreading	proofreading	NOUN
easat-5666	205	12	parts	part	NOUN
easat-5666	205	13	,	,	PUNCT
easat-5666	205	14	hümeyra	hümeyra	PROPN
easat-5666	205	15	karadeniz	karadeniz	PROPN
easat-5666	205	16	from	from	ADP
easat-5666	205	17	kafkas	kafkas	ADJ
easat-5666	205	18	university	university	NOUN
easat-5666	205	19	electrical	electrical	ADJ
easat-5666	205	20	electronics	electronic	NOUN
easat-5666	205	21	engineering	engineering	NOUN
easat-5666	205	22	,	,	PUNCT
easat-5666	205	23	b.sc	b.sc	PROPN
easat-5666	205	24	.	.	PROPN
easat-5666	205	25	student	student	NOUN
easat-5666	205	26	,	,	PUNCT
easat-5666	205	27	helped	help	VERB
easat-5666	205	28	us	we	PRON
easat-5666	205	29	in	in	ADP
easat-5666	205	30	detail	detail	NOUN
easat-5666	205	31	.	.	PUNCT
easat-5666	206	1	we	we	PRON
easat-5666	206	2	thanked	thank	VERB
easat-5666	206	3	her	she	PRON
easat-5666	206	4	in	in	ADP
easat-5666	206	5	detail	detail	NOUN
easat-5666	206	6	for	for	ADP
easat-5666	206	7	her	her	PRON
easat-5666	206	8	help	help	NOUN
easat-5666	206	9	to	to	ADP
easat-5666	206	10	the	the	DET
easat-5666	206	11	study	study	NOUN
easat-5666	206	12	.	.	PUNCT
easat-5666	207	1	copyright	copyright	NOUN
easat-5666	207	2	:	:	PUNCT
easat-5666	207	3	©	©	PROPN
easat-5666	207	4	2025	2025	NUM
easat-5666	207	5	by	by	ADP
easat-5666	207	6	the	the	DET
easat-5666	207	7	authors	author	NOUN
easat-5666	207	8	.	.	PUNCT
easat-5666	208	1	this	this	DET
easat-5666	208	2	open	open	ADJ
easat-5666	208	3	-	-	PUNCT
easat-5666	208	4	access	access	NOUN
easat-5666	208	5	article	article	NOUN
easat-5666	208	6	is	be	AUX
easat-5666	208	7	distributed	distribute	VERB
easat-5666	208	8	under	under	ADP
easat-5666	208	9	the	the	DET
easat-5666	208	10	terms	term	NOUN
easat-5666	208	11	and	and	CCONJ
easat-5666	208	12	conditions	condition	NOUN
easat-5666	208	13	of	of	ADP
easat-5666	208	14	the	the	DET
easat-5666	208	15	creative	creative	ADJ
easat-5666	208	16	commons	common	NOUN
easat-5666	208	17	attribution	attribution	NOUN
easat-5666	208	18	(	(	PUNCT
easat-5666	208	19	cc	cc	NOUN
easat-5666	208	20	by	by	ADP
easat-5666	208	21	)	)	PUNCT
easat-5666	208	22	license	license	NOUN
easat-5666	208	23	(	(	PUNCT
easat-5666	208	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-5666	208	25	)	)	PUNCT
easat-5666	208	26	.	.	PUNCT
easat-5666	209	1	references	reference	NOUN
easat-5666	209	2	[	[	X
easat-5666	209	3	1	1	X
easat-5666	209	4	]	]	X
easat-5666	209	5	d.	d.	NOUN
easat-5666	209	6	mohajan	mohajan	PROPN
easat-5666	209	7	and	and	CCONJ
easat-5666	209	8	h.	h.	PROPN
easat-5666	209	9	k.	k.	PROPN
easat-5666	209	10	mohajan	mohajan	PROPN
easat-5666	209	11	,	,	PUNCT
easat-5666	209	12	"	"	PUNCT
easat-5666	209	13	obesity	obesity	NOUN
easat-5666	209	14	and	and	CCONJ
easat-5666	209	15	its	its	PRON
easat-5666	209	16	related	related	ADJ
easat-5666	209	17	diseases	disease	NOUN
easat-5666	209	18	:	:	PUNCT
easat-5666	209	19	a	a	DET
easat-5666	209	20	new	new	ADJ
easat-5666	209	21	escalating	escalate	VERB
easat-5666	209	22	alarming	alarming	ADJ
easat-5666	209	23	in	in	ADP
easat-5666	209	24	global	global	ADJ
easat-5666	209	25	health	health	NOUN
easat-5666	209	26	,	,	PUNCT
easat-5666	209	27	"	"	PUNCT
easat-5666	209	28	journal	journal	NOUN
easat-5666	209	29	of	of	ADP
easat-5666	209	30	innovations	innovation	NOUN
easat-5666	209	31	in	in	ADP
easat-5666	209	32	medical	medical	ADJ
easat-5666	209	33	research	research	NOUN
easat-5666	209	34	,	,	PUNCT
easat-5666	209	35	vol	vol	NOUN
easat-5666	209	36	.	.	PROPN
easat-5666	209	37	2	2	NUM
easat-5666	209	38	,	,	PUNCT
easat-5666	209	39	no	no	INTJ
easat-5666	209	40	.	.	NOUN
easat-5666	209	41	3	3	NUM
easat-5666	209	42	,	,	PUNCT
easat-5666	209	43	pp	pp	ADJ
easat-5666	209	44	.	.	PUNCT
easat-5666	210	1	12	12	NUM
easat-5666	210	2	-	-	SYM
easat-5666	210	3	23	23	NUM
easat-5666	210	4	,	,	PUNCT
easat-5666	210	5	2023	2023	NUM
easat-5666	210	6	.	.	PUNCT
easat-5666	211	1	https://doi.org/10.5281/zenodo.7834519	https://doi.org/10.5281/zenodo.7834519	NOUN
easat-5666	212	1	[	[	X
easat-5666	212	2	2	2	X
easat-5666	212	3	]	]	X
easat-5666	212	4	n.	n.	PROPN
easat-5666	212	5	alfaris	alfaris	PROPN
easat-5666	212	6	,	,	PUNCT
easat-5666	212	7	a.	a.	NOUN
easat-5666	212	8	m.	m.	PROPN
easat-5666	212	9	alqahtani	alqahtani	PROPN
easat-5666	212	10	,	,	PUNCT
easat-5666	212	11	n.	n.	PROPN
easat-5666	212	12	alamuddin	alamuddin	PROPN
easat-5666	212	13	,	,	PUNCT
easat-5666	212	14	and	and	CCONJ
easat-5666	212	15	g.	g.	PROPN
easat-5666	212	16	rigas	rigas	NOUN
easat-5666	212	17	,	,	PUNCT
easat-5666	212	18	"	"	PUNCT
easat-5666	212	19	global	global	ADJ
easat-5666	212	20	impact	impact	NOUN
easat-5666	212	21	of	of	ADP
easat-5666	212	22	obesity	obesity	NOUN
easat-5666	212	23	,	,	PUNCT
easat-5666	212	24	"	"	PUNCT
easat-5666	212	25	gastroenterology	gastroenterology	NOUN
easat-5666	212	26	clinics	clinic	NOUN
easat-5666	212	27	,	,	PUNCT
easat-5666	212	28	vol	vol	NOUN
easat-5666	212	29	.	.	PROPN
easat-5666	212	30	52	52	NUM
easat-5666	212	31	,	,	PUNCT
easat-5666	212	32	no	no	INTJ
easat-5666	212	33	.	.	NOUN
easat-5666	212	34	2	2	NUM
easat-5666	212	35	,	,	PUNCT
easat-5666	212	36	pp	pp	ADJ
easat-5666	212	37	.	.	PUNCT
easat-5666	213	1	277	277	NUM
easat-5666	213	2	-	-	SYM
easat-5666	213	3	293	293	NUM
easat-5666	213	4	,	,	PUNCT
easat-5666	213	5	2023	2023	NUM
easat-5666	213	6	.	.	PUNCT
easat-5666	214	1	https://doi.org/10.1016/j.gtc.2023.01.001	https://doi.org/10.1016/j.gtc.2023.01.001	VERB
easat-5666	215	1	[	[	X
easat-5666	215	2	3	3	NUM
easat-5666	215	3	]	]	PUNCT
easat-5666	215	4	x.	x.	NOUN
easat-5666	215	5	zhang	zhang	PROPN
easat-5666	215	6	et	et	PROPN
easat-5666	215	7	al	al	PROPN
easat-5666	215	8	.	.	PROPN
easat-5666	215	9	,	,	PUNCT
easat-5666	215	10	"	"	PUNCT
easat-5666	215	11	global	global	ADJ
easat-5666	215	12	prevalence	prevalence	NOUN
easat-5666	215	13	of	of	ADP
easat-5666	215	14	overweight	overweight	NOUN
easat-5666	215	15	and	and	CCONJ
easat-5666	215	16	obesity	obesity	NOUN
easat-5666	215	17	in	in	ADP
easat-5666	215	18	children	child	NOUN
easat-5666	215	19	and	and	CCONJ
easat-5666	215	20	adolescents	adolescent	NOUN
easat-5666	215	21	:	:	PUNCT
easat-5666	215	22	a	a	DET
easat-5666	215	23	systematic	systematic	ADJ
easat-5666	215	24	review	review	NOUN
easat-5666	215	25	and	and	CCONJ
easat-5666	215	26	meta	meta	ADJ
easat-5666	215	27	-	-	PUNCT
easat-5666	215	28	analysis	analysis	NOUN
easat-5666	215	29	,	,	PUNCT
easat-5666	215	30	"	"	PUNCT
easat-5666	215	31	jama	jama	NOUN
easat-5666	215	32	pediatrics	pediatric	NOUN
easat-5666	215	33	,	,	PUNCT
easat-5666	215	34	vol	vol	NOUN
easat-5666	215	35	.	.	NOUN
easat-5666	215	36	178	178	NUM
easat-5666	215	37	,	,	PUNCT
easat-5666	215	38	no	no	INTJ
easat-5666	215	39	.	.	NOUN
easat-5666	215	40	8	8	NUM
easat-5666	215	41	,	,	PUNCT
easat-5666	215	42	pp	pp	ADJ
easat-5666	215	43	.	.	PUNCT
easat-5666	216	1	800	800	NUM
easat-5666	216	2	-	-	NUM
easat-5666	216	3	813	813	NUM
easat-5666	216	4	,	,	PUNCT
easat-5666	216	5	2024	2024	NUM
easat-5666	217	1	.	.	PUNCT
easat-5666	218	1	https://doi.org/10.1001/jamapediatrics.2024.12345	https://doi.org/10.1001/jamapediatrics.2024.12345	PROPN
easat-5666	219	1	[	[	X
easat-5666	219	2	4	4	NUM
easat-5666	219	3	]	]	PUNCT
easat-5666	219	4	c.	c.	PROPN
easat-5666	219	5	a.	a.	PROPN
easat-5666	219	6	mandarim	mandarim	PROPN
easat-5666	219	7	-	-	PUNCT
easat-5666	219	8	de	de	NOUN
easat-5666	219	9	-	-	NOUN
easat-5666	219	10	lacerda	lacerda	PROPN
easat-5666	219	11	,	,	PUNCT
easat-5666	219	12	m.	m.	NOUN
easat-5666	219	13	del	del	PROPN
easat-5666	219	14	sol	sol	PROPN
easat-5666	219	15	,	,	PUNCT
easat-5666	219	16	b.	b.	PROPN
easat-5666	219	17	vásquez	vásquez	NOUN
easat-5666	219	18	,	,	PUNCT
easat-5666	219	19	and	and	CCONJ
easat-5666	219	20	m.	m.	PROPN
easat-5666	219	21	b.	b.	PROPN
easat-5666	219	22	aguila	aguila	PROPN
easat-5666	219	23	,	,	PUNCT
easat-5666	219	24	"	"	PUNCT
easat-5666	219	25	mice	mouse	NOUN
easat-5666	219	26	as	as	ADP
easat-5666	219	27	an	an	DET
easat-5666	219	28	animal	animal	NOUN
easat-5666	219	29	model	model	NOUN
easat-5666	219	30	for	for	ADP
easat-5666	219	31	the	the	DET
easat-5666	219	32	study	study	NOUN
easat-5666	219	33	of	of	ADP
easat-5666	219	34	adipose	adipose	ADJ
easat-5666	219	35	tissue	tissue	NOUN
easat-5666	219	36	and	and	CCONJ
easat-5666	219	37	obesity	obesity	NOUN
easat-5666	219	38	,	,	PUNCT
easat-5666	219	39	"	"	PUNCT
easat-5666	219	40	international	international	ADJ
easat-5666	219	41	journal	journal	NOUN
easat-5666	219	42	of	of	ADP
easat-5666	219	43	morphology	morphology	NOUN
easat-5666	219	44	,	,	PUNCT
easat-5666	219	45	vol	vol	NOUN
easat-5666	219	46	.	.	PROPN
easat-5666	219	47	39	39	NUM
easat-5666	219	48	,	,	PUNCT
easat-5666	219	49	no	no	INTJ
easat-5666	219	50	.	.	NOUN
easat-5666	219	51	6	6	NUM
easat-5666	219	52	,	,	PUNCT
easat-5666	219	53	pp	pp	ADJ
easat-5666	219	54	.	.	PUNCT
easat-5666	219	55	1521	1521	NUM
easat-5666	219	56	-	-	SYM
easat-5666	219	57	1528	1528	NUM
easat-5666	219	58	,	,	PUNCT
easat-5666	219	59	2021	2021	NUM
easat-5666	219	60	.	.	PUNCT
easat-5666	220	1	https://doi.org/10.4067/s0717-95022021000601521	https://doi.org/10.4067/s0717-95022021000601521	PROPN
easat-5666	221	1	[	[	X
easat-5666	221	2	5	5	NUM
easat-5666	221	3	]	]	X
easat-5666	221	4	o.	o.	PROPN
easat-5666	221	5	bouhali	bouhali	PROPN
easat-5666	221	6	,	,	PUNCT
easat-5666	221	7	h.	h.	PROPN
easat-5666	221	8	bensmail	bensmail	NOUN
easat-5666	221	9	,	,	PUNCT
easat-5666	221	10	a.	a.	NOUN
easat-5666	221	11	sheharyar	sheharyar	PROPN
easat-5666	221	12	,	,	PUNCT
easat-5666	221	13	f.	f.	PROPN
easat-5666	221	14	david	david	PROPN
easat-5666	221	15	,	,	PUNCT
easat-5666	221	16	and	and	CCONJ
easat-5666	221	17	j.	j.	PROPN
easat-5666	221	18	p.	p.	PROPN
easat-5666	221	19	johnson	johnson	PROPN
easat-5666	221	20	,	,	PUNCT
easat-5666	221	21	"	"	PUNCT
easat-5666	221	22	a	a	DET
easat-5666	221	23	review	review	NOUN
easat-5666	221	24	of	of	ADP
easat-5666	221	25	radiomics	radiomic	NOUN
easat-5666	221	26	and	and	CCONJ
easat-5666	221	27	artificial	artificial	ADJ
easat-5666	221	28	intelligence	intelligence	NOUN
easat-5666	221	29	and	and	CCONJ
easat-5666	221	30	their	their	PRON
easat-5666	221	31	application	application	NOUN
easat-5666	221	32	in	in	ADP
easat-5666	221	33	veterinary	veterinary	ADJ
easat-5666	221	34	diagnostic	diagnostic	ADJ
easat-5666	221	35	imaging	imaging	NOUN
easat-5666	221	36	,	,	PUNCT
easat-5666	221	37	"	"	PUNCT
easat-5666	221	38	veterinary	veterinary	ADJ
easat-5666	221	39	sciences	science	NOUN
easat-5666	221	40	,	,	PUNCT
easat-5666	221	41	vol	vol	NOUN
easat-5666	221	42	.	.	NOUN
easat-5666	221	43	9	9	NUM
easat-5666	221	44	,	,	PUNCT
easat-5666	221	45	no	no	INTJ
easat-5666	221	46	.	.	NOUN
easat-5666	221	47	11	11	NUM
easat-5666	221	48	,	,	PUNCT
easat-5666	221	49	p.	p.	NOUN
easat-5666	221	50	620	620	NUM
easat-5666	221	51	,	,	PUNCT
easat-5666	221	52	2022	2022	NUM
easat-5666	221	53	.	.	PUNCT
easat-5666	222	1	https://doi.org/10.3390/vetsci9110620	https://doi.org/10.3390/vetsci9110620	NOUN
easat-5666	223	1	[	[	X
easat-5666	223	2	6	6	NUM
easat-5666	223	3	]	]	X
easat-5666	223	4	o.	o.	PROPN
easat-5666	223	5	c.	c.	PROPN
easat-5666	223	6	akinsulie	akinsulie	PROPN
easat-5666	223	7	et	et	PROPN
easat-5666	223	8	al	al	PROPN
easat-5666	223	9	.	.	PROPN
easat-5666	223	10	,	,	PUNCT
easat-5666	223	11	"	"	PUNCT
easat-5666	223	12	the	the	DET
easat-5666	223	13	potential	potential	ADJ
easat-5666	223	14	application	application	NOUN
easat-5666	223	15	of	of	ADP
easat-5666	223	16	artificial	artificial	ADJ
easat-5666	223	17	intelligence	intelligence	NOUN
easat-5666	223	18	in	in	ADP
easat-5666	223	19	veterinary	veterinary	ADJ
easat-5666	223	20	clinical	clinical	ADJ
easat-5666	223	21	practice	practice	NOUN
easat-5666	223	22	and	and	CCONJ
easat-5666	223	23	biomedical	biomedical	ADJ
easat-5666	223	24	research	research	NOUN
easat-5666	223	25	,	,	PUNCT
easat-5666	223	26	"	"	PUNCT
easat-5666	223	27	frontiers	frontier	NOUN
easat-5666	223	28	in	in	ADP
easat-5666	223	29	veterinary	veterinary	ADJ
easat-5666	223	30	science	science	NOUN
easat-5666	223	31	,	,	PUNCT
easat-5666	223	32	vol	vol	NOUN
easat-5666	223	33	.	.	PROPN
easat-5666	223	34	11	11	NUM
easat-5666	223	35	,	,	PUNCT
easat-5666	223	36	p.	p.	NOUN
easat-5666	223	37	1347550	1347550	NUM
easat-5666	223	38	,	,	PUNCT
easat-5666	223	39	2024	2024	NUM
easat-5666	223	40	.	.	PUNCT
easat-5666	224	1	https://doi.org/10.3389/fvets.2024.1347550	https://doi.org/10.3389/fvets.2024.1347550	PROPN
easat-5666	225	1	[	[	X
easat-5666	225	2	7	7	NUM
easat-5666	225	3	]	]	PUNCT
easat-5666	225	4	chromeextension	chromeextension	NOUN
easat-5666	225	5	,	,	PUNCT
easat-5666	225	6	"	"	PUNCT
easat-5666	225	7	chromeextension	chromeextension	NOUN
easat-5666	225	8	,	,	PUNCT
easat-5666	225	9	"	"	PUNCT
easat-5666	225	10	retrieved	retrieve	VERB
easat-5666	225	11	:	:	PUNCT
easat-5666	225	12	https://azupcriversitestorage01.blob.core.windows.net/storageaccount-container/resources/rm_rm_r_wistar_han_clin_lab_parameters_08.pdf	https://azupcriversitestorage01.blob.core.windows.net/storageaccount-container/resources/rm_rm_r_wistar_han_clin_lab_parameters_08.pdf	PROPN
easat-5666	225	13	.	.	PUNCT
easat-5666	226	1	[	[	X
easat-5666	226	2	accessed	access	VERB
easat-5666	226	3	2008	2008	NUM
easat-5666	226	4	.	.	PUNCT
easat-5666	227	1	[	[	X
easat-5666	227	2	8	8	NUM
easat-5666	227	3	]	]	PUNCT
easat-5666	227	4	m.	m.	NOUN
easat-5666	227	5	matboli	matboli	PROPN
easat-5666	227	6	et	et	PROPN
easat-5666	227	7	al	al	PROPN
easat-5666	227	8	.	.	PROPN
easat-5666	227	9	,	,	PUNCT
easat-5666	227	10	"	"	PUNCT
easat-5666	227	11	machine	machine	NOUN
easat-5666	227	12	learning	learning	NOUN
easat-5666	227	13	-	-	PUNCT
easat-5666	227	14	based	base	VERB
easat-5666	227	15	identification	identification	NOUN
easat-5666	227	16	of	of	ADP
easat-5666	227	17	potential	potential	ADJ
easat-5666	227	18	feature	feature	NOUN
easat-5666	227	19	genes	gene	NOUN
easat-5666	227	20	for	for	ADP
easat-5666	227	21	prediction	prediction	NOUN
easat-5666	227	22	of	of	ADP
easat-5666	227	23	drug	drug	NOUN
easat-5666	227	24	efficacy	efficacy	NOUN
easat-5666	227	25	in	in	ADP
easat-5666	227	26	nonalcoholic	nonalcoholic	PROPN
easat-5666	227	27	steatohepatitis	steatohepatitis	PROPN
easat-5666	227	28	animal	animal	NOUN
easat-5666	227	29	model	model	NOUN
easat-5666	227	30	,	,	PUNCT
easat-5666	227	31	"	"	PUNCT
easat-5666	227	32	lipids	lipids	ADP
easat-5666	227	33	in	in	ADP
easat-5666	227	34	health	health	NOUN
easat-5666	227	35	and	and	CCONJ
easat-5666	227	36	disease	disease	NOUN
easat-5666	227	37	,	,	PUNCT
easat-5666	227	38	vol	vol	NOUN
easat-5666	227	39	.	.	PROPN
easat-5666	227	40	23	23	NUM
easat-5666	227	41	,	,	PUNCT
easat-5666	227	42	no	no	INTJ
easat-5666	227	43	.	.	NOUN
easat-5666	227	44	1	1	NUM
easat-5666	227	45	,	,	PUNCT
easat-5666	227	46	p.	p.	NOUN
easat-5666	227	47	266	266	NUM
easat-5666	227	48	,	,	PUNCT
easat-5666	227	49	2024	2024	NUM
easat-5666	227	50	.	.	PUNCT
easat-5666	228	1	https://doi.org/10.1186/s12944-024-01794-6	https://doi.org/10.1186/s12944-024-01794-6	PUNCT
easat-5666	229	1	[	[	X
easat-5666	229	2	9	9	NUM
easat-5666	229	3	]	]	X
easat-5666	229	4	l.	l.	PROPN
easat-5666	229	5	d.	d.	PROPN
easat-5666	229	6	trindade	trindade	VERB
easat-5666	229	7	et	et	PROPN
easat-5666	229	8	al	al	PROPN
easat-5666	229	9	.	.	PROPN
easat-5666	229	10	,	,	PUNCT
easat-5666	229	11	"	"	PUNCT
easat-5666	229	12	machine	machine	NOUN
easat-5666	229	13	learning	learning	NOUN
easat-5666	229	14	applied	apply	VERB
easat-5666	229	15	in	in	ADP
easat-5666	229	16	blood	blood	NOUN
easat-5666	229	17	laboratory	laboratory	NOUN
easat-5666	229	18	database	database	NOUN
easat-5666	229	19	for	for	ADP
easat-5666	229	20	identification	identification	NOUN
easat-5666	229	21	of	of	ADP
easat-5666	229	22	an	an	DET
easat-5666	229	23	obesogenic	obesogenic	ADJ
easat-5666	229	24	/	/	SYM
easat-5666	229	25	diabetogenic	diabetogenic	ADJ
easat-5666	229	26	diet	diet	NOUN
easat-5666	229	27	consumption	consumption	NOUN
easat-5666	229	28	:	:	PUNCT
easat-5666	229	29	a	a	DET
easat-5666	229	30	preclinical	preclinical	ADJ
easat-5666	229	31	modelling	modelling	NOUN
easat-5666	229	32	approach	approach	NOUN
easat-5666	229	33	,	,	PUNCT
easat-5666	229	34	"	"	PUNCT
easat-5666	229	35	international	international	ADJ
easat-5666	229	36	journal	journal	NOUN
easat-5666	229	37	of	of	ADP
easat-5666	229	38	computer	computer	NOUN
easat-5666	229	39	applications	application	NOUN
easat-5666	229	40	in	in	ADP
easat-5666	229	41	technology	technology	NOUN
easat-5666	229	42	,	,	PUNCT
easat-5666	229	43	vol	vol	NOUN
easat-5666	229	44	.	.	PROPN
easat-5666	230	1	75	75	NUM
easat-5666	230	2	,	,	PUNCT
easat-5666	230	3	no	no	INTJ
easat-5666	230	4	.	.	NOUN
easat-5666	230	5	1	1	NUM
easat-5666	230	6	,	,	PUNCT
easat-5666	230	7	pp	pp	ADJ
easat-5666	230	8	.	.	PUNCT
easat-5666	231	1	22	22	NUM
easat-5666	231	2	-	-	SYM
easat-5666	231	3	34	34	NUM
easat-5666	231	4	,	,	PUNCT
easat-5666	231	5	2024	2024	NUM
easat-5666	231	6	.	.	PUNCT
easat-5666	232	1	https://doi.org/10.1504/ijcat.2024.10044138	https://doi.org/10.1504/ijcat.2024.10044138	PROPN
easat-5666	233	1	[	[	X
easat-5666	233	2	10	10	NUM
easat-5666	233	3	]	]	PUNCT
easat-5666	233	4	s.	s.	PROPN
easat-5666	233	5	vairachilai	vairachilai	PROPN
easat-5666	233	6	,	,	PUNCT
easat-5666	233	7	s.	s.	PROPN
easat-5666	233	8	periyanayagi	periyanayagi	PROPN
easat-5666	233	9	,	,	PUNCT
easat-5666	233	10	and	and	CCONJ
easat-5666	233	11	s.	s.	PROPN
easat-5666	233	12	p.	p.	PROPN
easat-5666	233	13	r.	r.	PROPN
easat-5666	233	14	raja	raja	PROPN
easat-5666	233	15	,	,	PUNCT
easat-5666	233	16	"	"	PUNCT
easat-5666	233	17	pipr	pipr	VERB
easat-5666	233	18	machine	machine	NOUN
easat-5666	233	19	learning	learning	NOUN
easat-5666	233	20	model	model	NOUN
easat-5666	233	21	:	:	PUNCT
easat-5666	233	22	obesity	obesity	NOUN
easat-5666	233	23	impact	impact	NOUN
easat-5666	233	24	analysis	analysis	NOUN
easat-5666	233	25	,	,	PUNCT
easat-5666	233	26	"	"	PUNCT
easat-5666	233	27	the	the	DET
easat-5666	233	28	open	open	ADJ
easat-5666	233	29	biomedical	biomedical	ADJ
easat-5666	233	30	engineering	engineering	NOUN
easat-5666	233	31	journal	journal	NOUN
easat-5666	233	32	,	,	PUNCT
easat-5666	233	33	vol	vol	NOUN
easat-5666	233	34	.	.	PROPN
easat-5666	233	35	18	18	NUM
easat-5666	233	36	,	,	PUNCT
easat-5666	233	37	no	no	INTJ
easat-5666	233	38	.	.	NOUN
easat-5666	233	39	1	1	NUM
easat-5666	233	40	,	,	PUNCT
easat-5666	233	41	pp	pp	ADJ
easat-5666	233	42	.	.	PUNCT
easat-5666	233	43	1	1	NUM
easat-5666	233	44	-	-	SYM
easat-5666	233	45	10	10	NUM
easat-5666	233	46	,	,	PUNCT
easat-5666	233	47	2024	2024	NUM
easat-5666	233	48	.	.	PUNCT
easat-5666	233	49	https://doi.org/10.2174/1874120702414010023	https://doi.org/10.2174/1874120702414010023	X
easat-5666	234	1	[	[	X
easat-5666	234	2	11	11	NUM
easat-5666	234	3	]	]	PUNCT
easat-5666	234	4	s.	s.	PROPN
easat-5666	234	5	puértolas	puértolas	PROPN
easat-5666	234	6	martínez	martínez	PROPN
easat-5666	234	7	,	,	PUNCT
easat-5666	234	8	"	"	PUNCT
easat-5666	234	9	time	time	NOUN
easat-5666	234	10	series	series	NOUN
easat-5666	234	11	analysis	analysis	NOUN
easat-5666	234	12	for	for	ADP
easat-5666	234	13	the	the	DET
easat-5666	234	14	description	description	NOUN
easat-5666	234	15	of	of	ADP
easat-5666	234	16	obesity	obesity	NOUN
easat-5666	234	17	in	in	ADP
easat-5666	234	18	mice	mouse	NOUN
easat-5666	234	19	model	model	NOUN
easat-5666	234	20	,	,	PUNCT
easat-5666	234	21	"	"	PUNCT
easat-5666	234	22	bachelor	bachelor	NOUN
easat-5666	234	23	's	's	PART
easat-5666	234	24	thesis	thesis	NOUN
easat-5666	234	25	,	,	PUNCT
easat-5666	234	26	universitat	universitat	PROPN
easat-5666	234	27	politècnica	politècnica	PROPN
easat-5666	234	28	de	de	PROPN
easat-5666	234	29	catalunya	catalunya	PROPN
easat-5666	234	30	,	,	PUNCT
easat-5666	234	31	2024	2024	NUM
easat-5666	234	32	.	.	PUNCT
easat-5666	235	1	[	[	X
easat-5666	235	2	12	12	NUM
easat-5666	235	3	]	]	PUNCT
easat-5666	235	4	s.	s.	PROPN
easat-5666	235	5	h.	h.	PROPN
easat-5666	235	6	alanazi	alanazi	PROPN
easat-5666	235	7	,	,	PUNCT
easat-5666	235	8	m.	m.	NOUN
easat-5666	235	9	abdollahian	abdollahian	PROPN
easat-5666	235	10	,	,	PUNCT
easat-5666	235	11	l.	l.	PROPN
easat-5666	235	12	tafakori	tafakori	PROPN
easat-5666	235	13	,	,	PUNCT
easat-5666	235	14	k.	k.	PROPN
easat-5666	235	15	a.	a.	PROPN
easat-5666	235	16	almulaihan	almulaihan	PROPN
easat-5666	235	17	,	,	PUNCT
easat-5666	235	18	s.	s.	PROPN
easat-5666	235	19	m.	m.	PROPN
easat-5666	235	20	alruwili	alruwili	PROPN
easat-5666	235	21	,	,	PUNCT
easat-5666	235	22	and	and	CCONJ
easat-5666	235	23	o.	o.	PROPN
easat-5666	235	24	f.	f.	PROPN
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easat-5666	235	26	,	,	PUNCT
easat-5666	235	27	"	"	PUNCT
easat-5666	235	28	predicting	predict	VERB
easat-5666	235	29	age	age	NOUN
easat-5666	235	30	at	at	ADP
easat-5666	235	31	onset	onset	NOUN
easat-5666	235	32	of	of	ADP
easat-5666	235	33	childhood	childhood	NOUN
easat-5666	235	34	obesity	obesity	NOUN
easat-5666	235	35	using	use	VERB
easat-5666	235	36	regression	regression	NOUN
easat-5666	235	37	,	,	PUNCT
easat-5666	235	38	random	random	ADJ
easat-5666	235	39	forest	forest	NOUN
easat-5666	235	40	,	,	PUNCT
easat-5666	235	41	decision	decision	NOUN
easat-5666	235	42	tree	tree	NOUN
easat-5666	235	43	,	,	PUNCT
easat-5666	235	44	and	and	CCONJ
easat-5666	235	45	k	k	X
easat-5666	235	46	-	-	PUNCT
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easat-5666	235	48	neighbour	neighbour	NOUN
easat-5666	235	49	—	—	PUNCT
easat-5666	235	50	a	a	DET
easat-5666	235	51	case	case	NOUN
easat-5666	235	52	study	study	NOUN
easat-5666	235	53	in	in	ADP
easat-5666	235	54	saudi	saudi	PROPN
easat-5666	235	55	arabia	arabia	PROPN
easat-5666	235	56	,	,	PUNCT
easat-5666	235	57	"	"	PUNCT
easat-5666	235	58	plos	plos	PROPN
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easat-5666	235	60	,	,	PUNCT
easat-5666	235	61	vol	vol	NOUN
easat-5666	235	62	.	.	PROPN
easat-5666	235	63	19	19	NUM
easat-5666	235	64	,	,	PUNCT
easat-5666	235	65	no	no	INTJ
easat-5666	235	66	.	.	NOUN
easat-5666	235	67	9	9	NUM
easat-5666	235	68	,	,	PUNCT
easat-5666	235	69	p.	p.	PROPN
easat-5666	235	70	e0308408	e0308408	PROPN
easat-5666	235	71	,	,	PUNCT
easat-5666	235	72	2024	2024	NUM
easat-5666	235	73	.	.	PUNCT
easat-5666	236	1	https://doi.org/10.1371/journal.pone.0308408	https://doi.org/10.1371/journal.pone.0308408	X
easat-5666	237	1	[	[	X
easat-5666	237	2	13	13	NUM
easat-5666	237	3	]	]	PUNCT
easat-5666	237	4	m.	m.	NOUN
easat-5666	237	5	dirik	dirik	PROPN
easat-5666	237	6	,	,	PUNCT
easat-5666	237	7	"	"	PUNCT
easat-5666	237	8	application	application	NOUN
easat-5666	237	9	of	of	ADP
easat-5666	237	10	machine	machine	NOUN
easat-5666	237	11	learning	learn	VERB
easat-5666	237	12	techniques	technique	NOUN
easat-5666	237	13	for	for	ADP
easat-5666	237	14	obesity	obesity	NOUN
easat-5666	237	15	prediction	prediction	NOUN
easat-5666	237	16	:	:	PUNCT
easat-5666	237	17	a	a	DET
easat-5666	237	18	comparative	comparative	ADJ
easat-5666	237	19	study	study	NOUN
easat-5666	237	20	,	,	PUNCT
easat-5666	237	21	"	"	PUNCT
easat-5666	237	22	journal	journal	NOUN
easat-5666	237	23	of	of	ADP
easat-5666	237	24	complexity	complexity	NOUN
easat-5666	237	25	in	in	ADP
easat-5666	237	26	health	health	NOUN
easat-5666	237	27	sciences	science	NOUN
easat-5666	237	28	,	,	PUNCT
easat-5666	237	29	vol	vol	NOUN
easat-5666	237	30	.	.	PROPN
easat-5666	237	31	6	6	NUM
easat-5666	237	32	,	,	PUNCT
easat-5666	237	33	no	no	INTJ
easat-5666	237	34	.	.	NOUN
easat-5666	237	35	2	2	NUM
easat-5666	237	36	,	,	PUNCT
easat-5666	237	37	pp	pp	ADJ
easat-5666	237	38	.	.	PUNCT
easat-5666	238	1	16	16	NUM
easat-5666	238	2	-	-	SYM
easat-5666	238	3	34	34	NUM
easat-5666	238	4	,	,	PUNCT
easat-5666	238	5	2023	2023	NUM
easat-5666	238	6	.	.	PUNCT
easat-5666	239	1	https://doi.org/10.21595/chs.2023.23193	https://doi.org/10.21595/chs.2023.23193	X
easat-5666	240	1	[	[	X
easat-5666	240	2	14	14	NUM
easat-5666	240	3	]	]	X
easat-5666	240	4	v.	v.	CCONJ
easat-5666	240	5	osadchiy	osadchiy	INTJ
easat-5666	240	6	et	et	PROPN
easat-5666	240	7	al	al	PROPN
easat-5666	240	8	.	.	PROPN
easat-5666	240	9	,	,	PUNCT
easat-5666	240	10	"	"	PUNCT
easat-5666	240	11	machine	machine	NOUN
easat-5666	240	12	learning	learn	VERB
easat-5666	240	13	model	model	NOUN
easat-5666	240	14	to	to	PART
easat-5666	240	15	predict	predict	VERB
easat-5666	240	16	obesity	obesity	NOUN
easat-5666	240	17	using	use	VERB
easat-5666	240	18	gut	gut	NOUN
easat-5666	240	19	metabolite	metabolite	NOUN
easat-5666	240	20	and	and	CCONJ
easat-5666	240	21	brain	brain	NOUN
easat-5666	240	22	microstructure	microstructure	ADJ
easat-5666	240	23	data	datum	NOUN
easat-5666	240	24	,	,	PUNCT
easat-5666	240	25	"	"	PUNCT
easat-5666	240	26	scientific	scientific	ADJ
easat-5666	240	27	reports	report	NOUN
easat-5666	240	28	,	,	PUNCT
easat-5666	240	29	vol	vol	NOUN
easat-5666	240	30	.	.	PROPN
easat-5666	240	31	13	13	NUM
easat-5666	240	32	,	,	PUNCT
easat-5666	240	33	no	no	INTJ
easat-5666	240	34	.	.	NOUN
easat-5666	240	35	1	1	NUM
easat-5666	240	36	,	,	PUNCT
easat-5666	240	37	p.	p.	NOUN
easat-5666	240	38	5488	5488	NUM
easat-5666	240	39	,	,	PUNCT
easat-5666	240	40	2023	2023	NUM
easat-5666	240	41	.	.	PUNCT
easat-5666	241	1	https://doi.org/10.1038/s41598-023-32313-4	https://doi.org/10.1038/s41598-023-32313-4	PUNCT
easat-5666	242	1	[	[	X
easat-5666	242	2	15	15	NUM
easat-5666	242	3	]	]	X
easat-5666	242	4	s.	s.	PROPN
easat-5666	242	5	r.	r.	PROPN
easat-5666	242	6	n.	n.	PROPN
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easat-5666	242	8	,	,	PUNCT
easat-5666	242	9	f.	f.	PROPN
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easat-5666	242	11	,	,	PUNCT
easat-5666	242	12	h.	h.	PROPN
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easat-5666	242	14	,	,	PUNCT
easat-5666	242	15	and	and	CCONJ
easat-5666	242	16	s.	s.	PROPN
easat-5666	242	17	heydari	heydari	PROPN
easat-5666	242	18	,	,	PUNCT
easat-5666	242	19	"	"	PUNCT
easat-5666	242	20	artificial	artificial	ADJ
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easat-5666	242	22	-	-	PUNCT
easat-5666	242	23	enabled	enable	VERB
easat-5666	242	24	obesity	obesity	NOUN
easat-5666	242	25	prediction	prediction	NOUN
easat-5666	242	26	:	:	PUNCT
easat-5666	242	27	a	a	DET
easat-5666	242	28	systematic	systematic	ADJ
easat-5666	242	29	review	review	NOUN
easat-5666	242	30	of	of	ADP
easat-5666	242	31	cohort	cohort	NOUN
easat-5666	242	32	data	datum	NOUN
easat-5666	242	33	analysis	analysis	NOUN
easat-5666	242	34	,	,	PUNCT
easat-5666	242	35	"	"	PUNCT
easat-5666	242	36	international	international	ADJ
easat-5666	242	37	journal	journal	NOUN
easat-5666	242	38	of	of	ADP
easat-5666	242	39	medical	medical	ADJ
easat-5666	242	40	informatics	informatic	NOUN
easat-5666	242	41	,	,	PUNCT
easat-5666	242	42	p.	p.	NOUN
easat-5666	242	43	105804	105804	NUM
easat-5666	242	44	,	,	PUNCT
easat-5666	242	45	2025	2025	NUM
easat-5666	242	46	.	.	PUNCT
easat-5666	243	1	https://doi.org/10.1016/j.ijmedinf.2024.105804	https://doi.org/10.1016/j.ijmedinf.2024.105804	NOUN
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easat-5666	243	3	16	16	NUM
easat-5666	243	4	]	]	X
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easat-5666	243	8	j.	j.	PROPN
easat-5666	243	9	chen	chen	PROPN
easat-5666	243	10	,	,	PUNCT
easat-5666	243	11	s.	s.	PROPN
easat-5666	243	12	jin	jin	PROPN
easat-5666	243	13	,	,	PUNCT
easat-5666	243	14	x.	x.	PROPN
easat-5666	243	15	fan	fan	PROPN
easat-5666	243	16	,	,	PUNCT
easat-5666	243	17	and	and	CCONJ
easat-5666	243	18	x.	x.	PROPN
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easat-5666	243	21	"	"	PUNCT
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easat-5666	243	23	and	and	CCONJ
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easat-5666	243	26	glycosylation	glycosylation	NOUN
easat-5666	243	27	-	-	PUNCT
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easat-5666	243	29	genes	gene	NOUN
easat-5666	243	30	in	in	ADP
easat-5666	243	31	obesity	obesity	NOUN
easat-5666	243	32	and	and	CCONJ
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easat-5666	243	34	:	:	PUNCT
easat-5666	243	35	insights	insight	NOUN
easat-5666	243	36	from	from	ADP
easat-5666	243	37	human	human	ADJ
easat-5666	243	38	liver	liver	NOUN
easat-5666	243	39	samples	sample	NOUN
easat-5666	243	40	and	and	CCONJ
easat-5666	243	41	a	a	DET
easat-5666	243	42	high	high	ADJ
easat-5666	243	43	-	-	PUNCT
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easat-5666	243	45	diet	diet	PROPN
easat-5666	243	46	mouse	mouse	PROPN
easat-5666	243	47	model	model	NOUN
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easat-5666	243	49	"	"	PUNCT
easat-5666	243	50	pharmacogenomics	pharmacogenomic	NOUN
easat-5666	243	51	and	and	CCONJ
easat-5666	243	52	personalized	personalized	ADJ
easat-5666	243	53	medicine	medicine	NOUN
easat-5666	243	54	,	,	PUNCT
easat-5666	243	55	pp	pp	ADJ
easat-5666	243	56	.	.	PUNCT
easat-5666	244	1	363	363	NUM
easat-5666	244	2	-	-	SYM
easat-5666	244	3	381	381	NUM
easat-5666	244	4	,	,	PUNCT
easat-5666	244	5	2024	2024	NUM
easat-5666	244	6	.	.	PUNCT
easat-5666	245	1	https://doi.org/10.2147/pgpm.s389013	https://doi.org/10.2147/pgpm.s389013	PROPN
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easat-5666	245	10	https://azupcriversitestorage01.blob.core.windows.net/storage-account-container/resources/rm_rm_r_wistar_han_clin_lab_parameters_08.pdf	https://azupcriversitestorage01.blob.core.windows.net/storage-account-container/resources/rm_rm_r_wistar_han_clin_lab_parameters_08.pdf	NOUN
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easat-5666	246	5	https://doi.org/10.1038/s41598-023-32313-4	https://doi.org/10.1038/s41598-023-32313-4	NUM
easat-5666	246	6	https://doi.org/10.1016/j.ijmedinf.2024.105804	https://doi.org/10.1016/j.ijmedinf.2024.105804	PROPN
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easat-5666	246	12	and	and	CCONJ
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easat-5666	246	14	issn	issn	PROPN
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easat-5666	246	16	2576	2576	NUM
easat-5666	246	17	-	-	SYM
easat-5666	246	18	8484	8484	NUM
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easat-5666	247	1	9	9	NUM
easat-5666	247	2	,	,	PUNCT
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easat-5666	247	4	.	.	NOUN
easat-5666	248	1	3	3	NUM
easat-5666	248	2	:	:	PUNCT
easat-5666	248	3	1665	1665	NUM
easat-5666	248	4	-	-	SYM
easat-5666	248	5	1674	1674	NUM
easat-5666	248	6	,	,	PUNCT
easat-5666	248	7	2025	2025	NUM
easat-5666	248	8	doi	doi	NOUN
easat-5666	248	9	:	:	PUNCT
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easat-5666	248	12	2025	2025	NUM
easat-5666	248	13	by	by	ADP
easat-5666	248	14	the	the	DET
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easat-5666	248	19	gate	gate	NOUN
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easat-5666	249	2	17	17	NUM
easat-5666	249	3	]	]	PUNCT
easat-5666	249	4	s.	s.	PROPN
easat-5666	249	5	h.	h.	PROPN
easat-5666	249	6	shin	shin	PROPN
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easat-5666	249	8	g.	g.	PROPN
easat-5666	249	9	hur	hur	PROPN
easat-5666	249	10	,	,	PUNCT
easat-5666	249	11	n.	n.	PROPN
easat-5666	249	12	r.	r.	PROPN
easat-5666	249	13	kim	kim	PROPN
easat-5666	249	14	,	,	PUNCT
easat-5666	249	15	j.	j.	PROPN
easat-5666	249	16	h.	h.	PROPN
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easat-5666	249	31	learning	learning	NOUN
easat-5666	249	32	-	-	PUNCT
easat-5666	249	33	integrated	integrate	VERB
easat-5666	249	34	stepwise	stepwise	ADJ
easat-5666	249	35	method	method	NOUN
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easat-5666	249	37	discover	discover	VERB
easat-5666	249	38	novel	novel	ADJ
easat-5666	249	39	anti	anti	ADJ
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easat-5666	249	41	obesity	obesity	ADJ
easat-5666	249	42	phytochemicals	phytochemical	NOUN
easat-5666	249	43	that	that	PRON
easat-5666	249	44	antagonize	antagonize	VERB
easat-5666	249	45	the	the	DET
easat-5666	249	46	glucocorticoid	glucocorticoid	ADJ
easat-5666	249	47	receptor	receptor	NOUN
easat-5666	249	48	,	,	PUNCT
easat-5666	249	49	"	"	PUNCT
easat-5666	249	50	food	food	NOUN
easat-5666	249	51	&	&	CCONJ
easat-5666	249	52	function	function	PROPN
easat-5666	249	53	,	,	PUNCT
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easat-5666	249	55	.	.	PROPN
easat-5666	249	56	14	14	NUM
easat-5666	249	57	,	,	PUNCT
easat-5666	249	58	no	no	INTJ
easat-5666	249	59	.	.	NOUN
easat-5666	249	60	4	4	NUM
easat-5666	249	61	,	,	PUNCT
easat-5666	249	62	pp	pp	ADJ
easat-5666	249	63	.	.	PUNCT
easat-5666	249	64	1869	1869	NUM
easat-5666	249	65	-	-	SYM
easat-5666	249	66	1883	1883	NUM
easat-5666	249	67	,	,	PUNCT
easat-5666	249	68	2023	2023	NUM
easat-5666	249	69	.	.	PUNCT
easat-5666	250	1	https://doi.org/10.1039/d2fo04048f	https://doi.org/10.1039/d2fo04048f	VERB
easat-5666	250	2	https://doi.org/10.1039/d2fo04048f	https://doi.org/10.1039/d2fo04048f	PRON