id sid tid token lemma pos bitcs-6478 1 1 vol vol NOUN bitcs-6478 1 2 . . PROPN bitcs-6478 1 3 5 5 NUM bitcs-6478 1 4 , , PUNCT bitcs-6478 1 5 no.2 no.2 PROPN bitcs-6478 1 6 june june PROPN bitcs-6478 1 7 2024 2024 NUM bitcs-6478 1 8 | | ADV bitcs-6478 1 9 85 85 NUM bitcs-6478 1 10 early early ADJ bitcs-6478 1 11 breast breast NOUN bitcs-6478 1 12 cancer cancer NOUN bitcs-6478 1 13 detection detection NOUN bitcs-6478 1 14 in in ADP bitcs-6478 1 15 coimbra coimbra PROPN bitcs-6478 1 16 dataset dataset VERB bitcs-6478 1 17 using use VERB bitcs-6478 1 18 supervised supervised ADJ bitcs-6478 1 19 machine machine NOUN bitcs-6478 1 20 learning learning NOUN bitcs-6478 1 21 ( ( PUNCT bitcs-6478 1 22 xgboost xgboost ADV bitcs-6478 1 23 ) ) PUNCT bitcs-6478 1 24 ahmed ahmed PROPN bitcs-6478 1 25 sami sami PROPN bitcs-6478 1 26 jaddoa jaddoa PROPN bitcs-6478 1 27 business business PROPN bitcs-6478 1 28 informatics informatics PROPN bitcs-6478 1 29 college college PROPN bitcs-6478 1 30 , , PUNCT bitcs-6478 1 31 university university NOUN bitcs-6478 1 32 of of ADP bitcs-6478 1 33 information information NOUN bitcs-6478 1 34 technology technology NOUN bitcs-6478 1 35 and and CCONJ bitcs-6478 1 36 communications communication NOUN bitcs-6478 1 37 , , PUNCT bitcs-6478 1 38 iraq iraq PROPN bitcs-6478 1 39 email email NOUN bitcs-6478 1 40 : : PUNCT bitcs-6478 1 41 ahmed.sami@uoitc.edu.iq ahmed.sami@uoitc.edu.iq ADJ bitcs-6478 1 42 abstract abstract ADJ bitcs-6478 1 43 worldwide worldwide ADV bitcs-6478 1 44 , , PUNCT bitcs-6478 1 45 breast breast NOUN bitcs-6478 1 46 cancer cancer NOUN bitcs-6478 1 47 ( ( PUNCT bitcs-6478 1 48 bc bc PROPN bitcs-6478 1 49 ) ) PUNCT bitcs-6478 1 50 represents represent VERB bitcs-6478 1 51 one one NUM bitcs-6478 1 52 of of ADP bitcs-6478 1 53 the the DET bitcs-6478 1 54 serious serious ADJ bitcs-6478 1 55 health health NOUN bitcs-6478 1 56 concerns concern NOUN bitcs-6478 1 57 for for ADP bitcs-6478 1 58 adult adult NOUN bitcs-6478 1 59 females female NOUN bitcs-6478 1 60 . . PUNCT bitcs-6478 2 1 the the DET bitcs-6478 2 2 early early ADJ bitcs-6478 2 3 detection detection NOUN bitcs-6478 2 4 and and CCONJ bitcs-6478 2 5 accurate accurate ADJ bitcs-6478 2 6 prediction prediction NOUN bitcs-6478 2 7 of of ADP bitcs-6478 2 8 risks risk NOUN bitcs-6478 2 9 are be AUX bitcs-6478 2 10 vital vital ADJ bitcs-6478 2 11 for for ADP bitcs-6478 2 12 the the DET bitcs-6478 2 13 provision provision NOUN bitcs-6478 2 14 of of ADP bitcs-6478 2 15 optimum optimum ADJ bitcs-6478 2 16 care care NOUN bitcs-6478 2 17 and and CCONJ bitcs-6478 2 18 enhancement enhancement NOUN bitcs-6478 2 19 of of ADP bitcs-6478 2 20 patient patient ADJ bitcs-6478 2 21 outcomes outcome NOUN bitcs-6478 2 22 . . PUNCT bitcs-6478 3 1 in in ADP bitcs-6478 3 2 the the DET bitcs-6478 3 3 past past ADJ bitcs-6478 3 4 few few ADJ bitcs-6478 3 5 years year NOUN bitcs-6478 3 6 , , PUNCT bitcs-6478 3 7 promising promise VERB bitcs-6478 3 8 large large ADJ bitcs-6478 3 9 data datum NOUN bitcs-6478 3 10 merging merge VERB bitcs-6478 3 11 and and CCONJ bitcs-6478 3 12 ensemble ensemble ADJ bitcs-6478 3 13 learning learning NOUN bitcs-6478 3 14 algorithms algorithm NOUN bitcs-6478 3 15 appeared appear VERB bitcs-6478 3 16 for for ADP bitcs-6478 3 17 the the DET bitcs-6478 3 18 purpose purpose NOUN bitcs-6478 3 19 of of ADP bitcs-6478 3 20 classification classification NOUN bitcs-6478 3 21 and and CCONJ bitcs-6478 3 22 prediction prediction NOUN bitcs-6478 3 23 of of ADP bitcs-6478 3 24 bc bc PROPN bitcs-6478 3 25 risk risk NOUN bitcs-6478 3 26 . . PUNCT bitcs-6478 4 1 in in ADP bitcs-6478 4 2 the the DET bitcs-6478 4 3 area area NOUN bitcs-6478 4 4 of of ADP bitcs-6478 4 5 medical medical ADJ bitcs-6478 4 6 applications application NOUN bitcs-6478 4 7 , , PUNCT bitcs-6478 4 8 methods method NOUN bitcs-6478 4 9 of of ADP bitcs-6478 4 10 machine machine NOUN bitcs-6478 4 11 learning learning NOUN bitcs-6478 4 12 ( ( PUNCT bitcs-6478 4 13 ml ml NOUN bitcs-6478 4 14 ) ) PUNCT bitcs-6478 4 15 are be AUX bitcs-6478 4 16 crucial crucial ADJ bitcs-6478 4 17 . . PUNCT bitcs-6478 5 1 early early ADJ bitcs-6478 5 2 diagnosis diagnosis NOUN bitcs-6478 5 3 is be AUX bitcs-6478 5 4 necessary necessary ADJ bitcs-6478 5 5 for for ADP bitcs-6478 5 6 a a DET bitcs-6478 5 7 more more ADV bitcs-6478 5 8 efficient efficient ADJ bitcs-6478 5 9 carcinoma carcinoma NOUN bitcs-6478 5 10 treatment treatment NOUN bitcs-6478 5 11 . . PUNCT bitcs-6478 6 1 this this DET bitcs-6478 6 2 study study NOUN bitcs-6478 6 3 ’s ’s PART bitcs-6478 6 4 aim aim NOUN bitcs-6478 6 5 is be AUX bitcs-6478 6 6 to to PART bitcs-6478 6 7 classify classify VERB bitcs-6478 6 8 the the DET bitcs-6478 6 9 carcinoma carcinoma NOUN bitcs-6478 6 10 with with ADP bitcs-6478 6 11 the the DET bitcs-6478 6 12 use use NOUN bitcs-6478 6 13 of of ADP bitcs-6478 6 14 the the DET bitcs-6478 6 15 10 10 NUM bitcs-6478 6 16 predictors predictor NOUN bitcs-6478 6 17 that that PRON bitcs-6478 6 18 are be AUX bitcs-6478 6 19 found find VERB bitcs-6478 6 20 in in ADP bitcs-6478 6 21 breast breast NOUN bitcs-6478 6 22 cancer cancer NOUN bitcs-6478 6 23 coimbra coimbra PROPN bitcs-6478 6 24 dataset dataset VERB bitcs-6478 6 25 ( ( PUNCT bitcs-6478 6 26 bccd bccd PROPN bitcs-6478 6 27 ) ) PUNCT bitcs-6478 6 28 . . PUNCT bitcs-6478 7 1 presently presently ADV bitcs-6478 7 2 , , PUNCT bitcs-6478 7 3 early early ADJ bitcs-6478 7 4 diagnoses diagnosis NOUN bitcs-6478 7 5 are be AUX bitcs-6478 7 6 necessary necessary ADJ bitcs-6478 7 7 . . PUNCT bitcs-6478 8 1 the the DET bitcs-6478 8 2 rates rate NOUN bitcs-6478 8 3 of of ADP bitcs-6478 8 4 cancer cancer NOUN bitcs-6478 8 5 survival survival NOUN bitcs-6478 8 6 could could AUX bitcs-6478 8 7 be be AUX bitcs-6478 8 8 raised raise VERB bitcs-6478 8 9 in in ADP bitcs-6478 8 10 the the DET bitcs-6478 8 11 case case NOUN bitcs-6478 8 12 where where SCONJ bitcs-6478 8 13 it it PRON bitcs-6478 8 14 is be AUX bitcs-6478 8 15 discovered discover VERB bitcs-6478 8 16 early early ADV bitcs-6478 8 17 . . PUNCT bitcs-6478 9 1 methods method NOUN bitcs-6478 9 2 of of ADP bitcs-6478 9 3 machine machine NOUN bitcs-6478 9 4 learning learning NOUN bitcs-6478 9 5 offer offer VERB bitcs-6478 9 6 effective effective ADJ bitcs-6478 9 7 way way NOUN bitcs-6478 9 8 for for ADP bitcs-6478 9 9 data datum NOUN bitcs-6478 9 10 classifying classify VERB bitcs-6478 9 11 and and CCONJ bitcs-6478 9 12 making make VERB bitcs-6478 9 13 early early ADJ bitcs-6478 9 14 disease disease NOUN bitcs-6478 9 15 diagnoses diagnose VERB bitcs-6478 9 16 . . PUNCT bitcs-6478 10 1 this this DET bitcs-6478 10 2 study study NOUN bitcs-6478 10 3 utilizes utilize VERB bitcs-6478 10 4 bccd bccd NOUN bitcs-6478 10 5 for for ADP bitcs-6478 10 6 the the DET bitcs-6478 10 7 classification classification NOUN bitcs-6478 10 8 of of ADP bitcs-6478 10 9 bc bc PROPN bitcs-6478 10 10 cases case NOUN bitcs-6478 10 11 utilizing utilize VERB bitcs-6478 10 12 xgboost xgboost ADV bitcs-6478 10 13 algorithm algorithm PROPN bitcs-6478 10 14 . . PUNCT bitcs-6478 11 1 based base VERB bitcs-6478 11 2 on on ADP bitcs-6478 11 3 performance performance NOUN bitcs-6478 11 4 criteria criterion NOUN bitcs-6478 11 5 , , PUNCT bitcs-6478 11 6 early early ADJ bitcs-6478 11 7 detection detection NOUN bitcs-6478 11 8 of of ADP bitcs-6478 11 9 bc bc PROPN bitcs-6478 11 10 is be AUX bitcs-6478 11 11 the the DET bitcs-6478 11 12 primary primary ADJ bitcs-6478 11 13 goal goal NOUN bitcs-6478 11 14 . . PUNCT bitcs-6478 12 1 the the DET bitcs-6478 12 2 xgboost xgboost PROPN bitcs-6478 12 3 classifier classifier NOUN bitcs-6478 12 4 in in ADP bitcs-6478 12 5 this this DET bitcs-6478 12 6 research research NOUN bitcs-6478 12 7 achieved achieve VERB bitcs-6478 12 8 98 98 NUM bitcs-6478 12 9 % % NOUN bitcs-6478 12 10 precision precision NOUN bitcs-6478 12 11 , , PUNCT bitcs-6478 12 12 98.32 98.32 NUM bitcs-6478 12 13 % % NOUN bitcs-6478 12 14 accuracy accuracy NOUN bitcs-6478 12 15 , , PUNCT bitcs-6478 12 16 99 99 NUM bitcs-6478 12 17 % % NOUN bitcs-6478 12 18 f1 f1 NOUN bitcs-6478 12 19 - - PUNCT bitcs-6478 12 20 score score NOUN bitcs-6478 12 21 , , PUNCT bitcs-6478 12 22 and and CCONJ bitcs-6478 12 23 97 97 NUM bitcs-6478 12 24 % % NOUN bitcs-6478 12 25 recall recall NOUN bitcs-6478 12 26 . . PUNCT bitcs-6478 13 1 keyword keyword NOUN bitcs-6478 13 2 : : PUNCT bitcs-6478 13 3 machine machine NOUN bitcs-6478 13 4 learning learning NOUN bitcs-6478 13 5 , , PUNCT bitcs-6478 13 6 xgboost xgboost ADV bitcs-6478 13 7 , , PUNCT bitcs-6478 13 8 z z NOUN bitcs-6478 13 9 - - PUNCT bitcs-6478 13 10 score score NOUN bitcs-6478 13 11 , , PUNCT bitcs-6478 13 12 bccd bccd NOUN bitcs-6478 13 13 . . PUNCT bitcs-6478 14 1 1 1 X bitcs-6478 14 2 . . X bitcs-6478 14 3 introduction introduction NOUN bitcs-6478 14 4 humans human NOUN bitcs-6478 14 5 are be AUX bitcs-6478 14 6 more more ADV bitcs-6478 14 7 vulnerable vulnerable ADJ bitcs-6478 14 8 than than ADP bitcs-6478 14 9 ever ever ADV bitcs-6478 14 10 to to ADP bitcs-6478 14 11 many many ADJ bitcs-6478 14 12 forms form NOUN bitcs-6478 14 13 of of ADP bitcs-6478 14 14 cancer cancer NOUN bitcs-6478 14 15 in in ADP bitcs-6478 14 16 the the DET bitcs-6478 14 17 last last ADJ bitcs-6478 14 18 few few ADJ bitcs-6478 14 19 years year NOUN bitcs-6478 14 20 . . PUNCT bitcs-6478 15 1 an an DET bitcs-6478 15 2 estimated estimate VERB bitcs-6478 15 3 one one NUM bitcs-6478 15 4 in in ADP bitcs-6478 15 5 six six NUM bitcs-6478 15 6 deaths death NOUN bitcs-6478 15 7 globally globally ADV bitcs-6478 15 8 result result VERB bitcs-6478 15 9 due due ADP bitcs-6478 15 10 to to ADP bitcs-6478 15 11 cancer cancer NOUN bitcs-6478 15 12 , , PUNCT bitcs-6478 15 13 which which PRON bitcs-6478 15 14 makes make VERB bitcs-6478 15 15 it it PRON bitcs-6478 15 16 one one NUM bitcs-6478 15 17 of of ADP bitcs-6478 15 18 the the DET bitcs-6478 15 19 top top ADJ bitcs-6478 15 20 death death NOUN bitcs-6478 15 21 causes cause VERB bitcs-6478 15 22 globally globally ADV bitcs-6478 15 23 . . PUNCT bitcs-6478 16 1 bc bc PROPN bitcs-6478 16 2 is be AUX bitcs-6478 16 3 the the DET bitcs-6478 16 4 most most ADV bitcs-6478 16 5 prevalent prevalent ADJ bitcs-6478 16 6 type type NOUN bitcs-6478 16 7 of of ADP bitcs-6478 16 8 cancer cancer NOUN bitcs-6478 16 9 in in ADP bitcs-6478 16 10 terms term NOUN bitcs-6478 16 11 of of ADP bitcs-6478 16 12 newly newly ADV bitcs-6478 16 13 diagnosed diagnose VERB bitcs-6478 16 14 cases case NOUN bitcs-6478 16 15 . . PUNCT bitcs-6478 17 1 about about ADV bitcs-6478 17 2 40,920 40,920 NUM bitcs-6478 17 3 women woman NOUN bitcs-6478 17 4 died die VERB bitcs-6478 17 5 from from ADP bitcs-6478 17 6 bc bc PROPN bitcs-6478 17 7 alone alone ADV bitcs-6478 17 8 in in ADP bitcs-6478 17 9 the the DET bitcs-6478 17 10 year year NOUN bitcs-6478 17 11 2018 2018 NUM bitcs-6478 17 12 . . PUNCT bitcs-6478 18 1 the the DET bitcs-6478 18 2 world world PROPN bitcs-6478 18 3 health health PROPN bitcs-6478 18 4 organization organization NOUN bitcs-6478 18 5 ( ( PUNCT bitcs-6478 18 6 who who PRON bitcs-6478 18 7 ) ) PUNCT bitcs-6478 18 8 estimated estimate VERB bitcs-6478 18 9 that that SCONJ bitcs-6478 18 10 2.90 2.90 NUM bitcs-6478 18 11 million million NUM bitcs-6478 18 12 women woman NOUN bitcs-6478 18 13 receive receive VERB bitcs-6478 18 14 a a DET bitcs-6478 18 15 bc bc PROPN bitcs-6478 18 16 diagnosis diagnosis NOUN bitcs-6478 18 17 annually annually ADV bitcs-6478 18 18 . . PUNCT bitcs-6478 19 1 no no DET bitcs-6478 19 2 less less ADJ bitcs-6478 19 3 than than ADP bitcs-6478 19 4 100 100 NUM bitcs-6478 19 5 diseases disease NOUN bitcs-6478 19 6 that that PRON bitcs-6478 19 7 affect affect VERB bitcs-6478 19 8 various various ADJ bitcs-6478 19 9 bodily bodily ADJ bitcs-6478 19 10 parts part NOUN bitcs-6478 19 11 are be AUX bitcs-6478 19 12 referred refer VERB bitcs-6478 19 13 to to PART bitcs-6478 19 14 be be AUX bitcs-6478 19 15 cancer cancer NOUN bitcs-6478 19 16 [ [ X bitcs-6478 19 17 1 1 NUM bitcs-6478 19 18 ] ] PUNCT bitcs-6478 19 19 . . PUNCT bitcs-6478 20 1 the the DET bitcs-6478 20 2 most most ADV bitcs-6478 20 3 prevalent prevalent ADJ bitcs-6478 20 4 cancer cancer NOUN bitcs-6478 20 5 all all ADV bitcs-6478 20 6 over over ADP bitcs-6478 20 7 the the DET bitcs-6478 20 8 world world NOUN bitcs-6478 20 9 is be AUX bitcs-6478 20 10 bc bc PROPN bitcs-6478 20 11 . . PROPN bitcs-6478 21 1 in in ADP bitcs-6478 21 2 the the DET bitcs-6478 21 3 year year NOUN bitcs-6478 21 4 2020 2020 NUM bitcs-6478 21 5 , , PUNCT bitcs-6478 21 6 there there PRON bitcs-6478 21 7 will will AUX bitcs-6478 21 8 likely likely ADV bitcs-6478 21 9 be be AUX bitcs-6478 21 10 no no ADV bitcs-6478 21 11 less less ADJ bitcs-6478 21 12 than than ADP bitcs-6478 21 13 2.26 2.26 NUM bitcs-6478 21 14 million million NUM bitcs-6478 21 15 new new ADJ bitcs-6478 21 16 cases case NOUN bitcs-6478 21 17 of of ADP bitcs-6478 21 18 bc bc PROPN bitcs-6478 21 19 , , PUNCT bitcs-6478 21 20 according accord VERB bitcs-6478 21 21 to to ADP bitcs-6478 21 22 who who PRON bitcs-6478 21 23 research research VERB bitcs-6478 21 24 on on ADP bitcs-6478 21 25 the the DET bitcs-6478 21 26 disease disease NOUN bitcs-6478 21 27 's 's PART bitcs-6478 21 28 current current ADJ bitcs-6478 21 29 and and CCONJ bitcs-6478 21 30 prospective prospective ADJ bitcs-6478 21 31 impact impact NOUN bitcs-6478 21 32 [ [ X bitcs-6478 21 33 2 2 NUM bitcs-6478 21 34 ] ] PUNCT bitcs-6478 21 35 . . PUNCT bitcs-6478 22 1 the the DET bitcs-6478 22 2 retrieval retrieval NOUN bitcs-6478 22 3 and and CCONJ bitcs-6478 22 4 maintenance maintenance NOUN bitcs-6478 22 5 of of ADP bitcs-6478 22 6 patients patient NOUN bitcs-6478 22 7 ' ' PART bitcs-6478 22 8 electronic electronic ADJ bitcs-6478 22 9 medical medical ADJ bitcs-6478 22 10 records record NOUN bitcs-6478 22 11 and and CCONJ bitcs-6478 22 12 related related ADJ bitcs-6478 22 13 devices device NOUN bitcs-6478 22 14 are be AUX bitcs-6478 22 15 examples example NOUN bitcs-6478 22 16 of of ADP bitcs-6478 22 17 healthcare healthcare NOUN bitcs-6478 22 18 technology technology NOUN bitcs-6478 22 19 . . PUNCT bitcs-6478 23 1 it it PRON bitcs-6478 23 2 has have AUX bitcs-6478 23 3 never never ADV bitcs-6478 23 4 been be AUX bitcs-6478 23 5 easy easy ADJ bitcs-6478 23 6 to to PART bitcs-6478 23 7 diagnose diagnose VERB bitcs-6478 23 8 and and CCONJ bitcs-6478 23 9 treat treat VERB bitcs-6478 23 10 hematological hematological ADJ bitcs-6478 23 11 diseases disease NOUN bitcs-6478 23 12 when when SCONJ bitcs-6478 23 13 cancer cancer NOUN bitcs-6478 23 14 is be AUX bitcs-6478 23 15 present present ADJ bitcs-6478 23 16 . . PUNCT bitcs-6478 24 1 nowadays nowadays ADV bitcs-6478 24 2 , , PUNCT bitcs-6478 24 3 a a DET bitcs-6478 24 4 staggering staggering ADJ bitcs-6478 24 5 portion portion NOUN bitcs-6478 24 6 of of ADP bitcs-6478 24 7 the the DET bitcs-6478 24 8 populace populace NOUN bitcs-6478 24 9 suffers suffer VERB bitcs-6478 24 10 from from ADP bitcs-6478 24 11 one one NUM bitcs-6478 24 12 or or CCONJ bitcs-6478 24 13 more more ADJ bitcs-6478 24 14 diseases disease NOUN bitcs-6478 24 15 . . PUNCT bitcs-6478 25 1 medical medical ADJ bitcs-6478 25 2 research research NOUN bitcs-6478 25 3 has have AUX bitcs-6478 25 4 made make VERB bitcs-6478 25 5 enormous enormous ADJ bitcs-6478 25 6 strides stride NOUN bitcs-6478 25 7 in in ADP bitcs-6478 25 8 the the DET bitcs-6478 25 9 last last ADJ bitcs-6478 25 10 few few ADJ bitcs-6478 25 11 years year NOUN bitcs-6478 25 12 . . PUNCT bitcs-6478 26 1 even even ADV bitcs-6478 26 2 with with ADP bitcs-6478 26 3 such such ADJ bitcs-6478 26 4 advancements advancement NOUN bitcs-6478 26 5 , , PUNCT bitcs-6478 26 6 the the DET bitcs-6478 26 7 general general ADJ bitcs-6478 26 8 population population NOUN bitcs-6478 26 9 still still ADV bitcs-6478 26 10 knows know VERB bitcs-6478 26 11 incredibly incredibly ADV bitcs-6478 26 12 little little ADJ bitcs-6478 26 13 about about ADP bitcs-6478 26 14 disease disease NOUN bitcs-6478 26 15 and and CCONJ bitcs-6478 26 16 health health NOUN bitcs-6478 26 17 . . PUNCT bitcs-6478 27 1 it it PRON bitcs-6478 27 2 's be AUX bitcs-6478 27 3 possible possible ADJ bitcs-6478 27 4 that that SCONJ bitcs-6478 27 5 a a DET bitcs-6478 27 6 sizable sizable ADJ bitcs-6478 27 7 section section NOUN bitcs-6478 27 8 of of ADP bitcs-6478 27 9 the the DET bitcs-6478 27 10 populace populace NOUN bitcs-6478 27 11 has have VERB bitcs-6478 27 12 health health NOUN bitcs-6478 27 13 problems problem NOUN bitcs-6478 27 14 , , PUNCT bitcs-6478 27 15 some some PRON bitcs-6478 27 16 of of ADP bitcs-6478 27 17 which which PRON bitcs-6478 27 18 could could AUX bitcs-6478 27 19 be be AUX bitcs-6478 27 20 lethal lethal ADJ bitcs-6478 27 21 [ [ X bitcs-6478 27 22 3 3 NUM bitcs-6478 27 23 ] ] PUNCT bitcs-6478 27 24 . . PUNCT bitcs-6478 28 1 through through ADP bitcs-6478 28 2 creating create VERB bitcs-6478 28 3 a a DET bitcs-6478 28 4 prediction prediction NOUN bitcs-6478 28 5 model model NOUN bitcs-6478 28 6 , , PUNCT bitcs-6478 28 7 it it PRON bitcs-6478 28 8 is be AUX bitcs-6478 28 9 possible possible ADJ bitcs-6478 28 10 to to PART bitcs-6478 28 11 diagnose diagnose VERB bitcs-6478 28 12 diseases disease NOUN bitcs-6478 28 13 early early ADV bitcs-6478 28 14 on on ADV bitcs-6478 28 15 and and CCONJ bitcs-6478 28 16 provide provide VERB bitcs-6478 28 17 patients patient NOUN bitcs-6478 28 18 with with ADP bitcs-6478 28 19 more more ADV bitcs-6478 28 20 effective effective ADJ bitcs-6478 28 21 care care NOUN bitcs-6478 28 22 . . PUNCT bitcs-6478 29 1 in in ADP bitcs-6478 29 2 earlier early ADJ bitcs-6478 29 3 research research NOUN bitcs-6478 29 4 , , PUNCT bitcs-6478 29 5 ml ml NOUN bitcs-6478 29 6 - - PUNCT bitcs-6478 29 7 based base VERB bitcs-6478 29 8 models model NOUN bitcs-6478 29 9 were be AUX bitcs-6478 29 10 employed employ VERB bitcs-6478 29 11 to to PART bitcs-6478 29 12 identify identify VERB bitcs-6478 29 13 bc bc PROPN bitcs-6478 29 14 , , PUNCT bitcs-6478 29 15 and and CCONJ bitcs-6478 29 16 they they PRON bitcs-6478 29 17 show show VERB bitcs-6478 29 18 noteworthy noteworthy ADJ bitcs-6478 29 19 efficacy efficacy NOUN bitcs-6478 29 20 [ [ X bitcs-6478 29 21 4 4 NUM bitcs-6478 29 22 ] ] PUNCT bitcs-6478 29 23 . . PUNCT bitcs-6478 30 1 one one NUM bitcs-6478 30 2 aspect aspect NOUN bitcs-6478 30 3 of of ADP bitcs-6478 30 4 ai ai NOUN bitcs-6478 30 5 that that PRON bitcs-6478 30 6 enables enable VERB bitcs-6478 30 7 the the DET bitcs-6478 30 8 system system NOUN bitcs-6478 30 9 to to PART bitcs-6478 30 10 obtain obtain VERB bitcs-6478 30 11 information information NOUN bitcs-6478 30 12 without without ADP bitcs-6478 30 13 explicit explicit ADJ bitcs-6478 30 14 expertise expertise NOUN bitcs-6478 30 15 is be AUX bitcs-6478 30 16 ml ml VERB bitcs-6478 30 17 . . PUNCT bitcs-6478 31 1 supervised supervised ADJ bitcs-6478 31 2 algorithms algorithm NOUN bitcs-6478 31 3 are be AUX bitcs-6478 31 4 employed employ VERB bitcs-6478 31 5 in in ADP bitcs-6478 31 6 many many ADJ bitcs-6478 31 7 classification classification NOUN bitcs-6478 31 8 applications application NOUN bitcs-6478 31 9 because because SCONJ bitcs-6478 31 10 they they PRON bitcs-6478 31 11 leverage leverage VERB bitcs-6478 31 12 human human ADJ bitcs-6478 31 13 outputs output NOUN bitcs-6478 31 14 and and CCONJ bitcs-6478 31 15 inputs input NOUN bitcs-6478 31 16 to to PART bitcs-6478 31 17 improve improve VERB bitcs-6478 31 18 prediction prediction NOUN bitcs-6478 31 19 accuracy accuracy NOUN bitcs-6478 31 20 and and CCONJ bitcs-6478 31 21 streamline streamline VERB bitcs-6478 31 22 the the DET bitcs-6478 31 23 training training NOUN bitcs-6478 31 24 process process NOUN bitcs-6478 31 25 . . PUNCT bitcs-6478 32 1 as as ADP bitcs-6478 32 2 a a DET bitcs-6478 32 3 result result NOUN bitcs-6478 32 4 , , PUNCT bitcs-6478 32 5 the the DET bitcs-6478 32 6 use use NOUN bitcs-6478 32 7 of of ADP bitcs-6478 32 8 ml ml NOUN bitcs-6478 32 9 in in ADP bitcs-6478 32 10 healthcare healthcare NOUN bitcs-6478 32 11 has have AUX bitcs-6478 32 12 expanded expand VERB bitcs-6478 32 13 [ [ X bitcs-6478 32 14 5][6 5][6 NUM bitcs-6478 32 15 ] ] PUNCT bitcs-6478 32 16 . . PUNCT bitcs-6478 33 1 ml ml PROPN bitcs-6478 33 2 is be AUX bitcs-6478 33 3 p p NOUN bitcs-6478 33 4 - - PUNCT bitcs-6478 33 5 issn issn NOUN bitcs-6478 33 6 : : PUNCT bitcs-6478 33 7 2715 2715 NUM bitcs-6478 33 8 - - SYM bitcs-6478 33 9 2448 2448 NUM bitcs-6478 33 10 | | NOUN bitcs-6478 33 11 e e NOUN bitcs-6478 33 12 - - NOUN bitcs-6478 33 13 issn issn NOUN bitcs-6478 33 14 : : PUNCT bitcs-6478 33 15 2715 2715 NUM bitcs-6478 33 16 - - SYM bitcs-6478 33 17 7199 7199 NUM bitcs-6478 33 18 vol.5 vol.5 ADV bitcs-6478 33 19 no.2 no.2 PROPN bitcs-6478 33 20 june june PROPN bitcs-6478 33 21 2024 2024 NUM bitcs-6478 33 22 buana buana PROPN bitcs-6478 33 23 information information PROPN bitcs-6478 33 24 technology technology NOUN bitcs-6478 33 25 and and CCONJ bitcs-6478 33 26 computer computer NOUN bitcs-6478 33 27 sciences science NOUN bitcs-6478 33 28 ( ( PUNCT bitcs-6478 33 29 bit bit NOUN bitcs-6478 33 30 and and CCONJ bitcs-6478 33 31 cs cs ADJ bitcs-6478 33 32 ) ) PUNCT bitcs-6478 33 33 mailto:ahmed.sami@uoitc.edu.iq mailto:ahmed.sami@uoitc.edu.iq PROPN bitcs-6478 33 34 vol vol NOUN bitcs-6478 33 35 . . PROPN bitcs-6478 33 36 5 5 NUM bitcs-6478 33 37 , , PUNCT bitcs-6478 33 38 no.2 no.2 PROPN bitcs-6478 33 39 june june PROPN bitcs-6478 33 40 2024 2024 NUM bitcs-6478 34 1 | | ADV bitcs-6478 34 2 86 86 NUM bitcs-6478 34 3 emerging emerge VERB bitcs-6478 34 4 as as ADP bitcs-6478 34 5 a a DET bitcs-6478 34 6 major major ADJ bitcs-6478 34 7 diagnostic diagnostic ADJ bitcs-6478 34 8 tool tool NOUN bitcs-6478 34 9 for for ADP bitcs-6478 34 10 patients patient NOUN bitcs-6478 34 11 in in ADP bitcs-6478 34 12 the the DET bitcs-6478 34 13 medical medical ADJ bitcs-6478 34 14 field field NOUN bitcs-6478 34 15 . . PUNCT bitcs-6478 35 1 in in ADP bitcs-6478 35 2 the the DET bitcs-6478 35 3 case case NOUN bitcs-6478 35 4 when when SCONJ bitcs-6478 35 5 a a DET bitcs-6478 35 6 task task NOUN bitcs-6478 35 7 is be AUX bitcs-6478 35 8 large large ADJ bitcs-6478 35 9 and and CCONJ bitcs-6478 35 10 difficult difficult ADJ bitcs-6478 35 11 to to PART bitcs-6478 35 12 program program VERB bitcs-6478 35 13 , , PUNCT bitcs-6478 35 14 ml ml X bitcs-6478 35 15 is be AUX bitcs-6478 35 16 used use VERB bitcs-6478 35 17 as as ADP bitcs-6478 35 18 an an DET bitcs-6478 35 19 analytical analytical ADJ bitcs-6478 35 20 technique technique NOUN bitcs-6478 35 21 . . PUNCT bitcs-6478 36 1 examples example NOUN bitcs-6478 36 2 of of ADP bitcs-6478 36 3 such such ADJ bitcs-6478 36 4 tasks task NOUN bitcs-6478 36 5 include include VERB bitcs-6478 36 6 anticipating anticipate VERB bitcs-6478 36 7 pandemics pandemic NOUN bitcs-6478 36 8 , , PUNCT bitcs-6478 36 9 evaluating evaluate VERB bitcs-6478 36 10 genomic genomic ADJ bitcs-6478 36 11 data datum NOUN bitcs-6478 36 12 , , PUNCT bitcs-6478 36 13 and and CCONJ bitcs-6478 36 14 turning turn VERB bitcs-6478 36 15 medical medical ADJ bitcs-6478 36 16 records record NOUN bitcs-6478 36 17 into into ADP bitcs-6478 36 18 knowledge knowledge NOUN bitcs-6478 36 19 [ [ X bitcs-6478 36 20 7 7 NUM bitcs-6478 36 21 ] ] SYM bitcs-6478 36 22 . . PUNCT bitcs-6478 37 1 2 2 X bitcs-6478 37 2 . . X bitcs-6478 37 3 literature literature NOUN bitcs-6478 37 4 review review NOUN bitcs-6478 37 5 for for ADP bitcs-6478 37 6 classifying classify VERB bitcs-6478 37 7 bc bc PROPN bitcs-6478 37 8 patients patient NOUN bitcs-6478 37 9 , , PUNCT bitcs-6478 37 10 many many ADJ bitcs-6478 37 11 different different ADJ bitcs-6478 37 12 kinds kind NOUN bitcs-6478 37 13 of of ADP bitcs-6478 37 14 studies study NOUN bitcs-6478 37 15 were be AUX bitcs-6478 37 16 done do VERB bitcs-6478 37 17 recently recently ADV bitcs-6478 37 18 . . PUNCT bitcs-6478 38 1 research research NOUN bitcs-6478 38 2 by by ADP bitcs-6478 38 3 sakri sakri NOUN bitcs-6478 38 4 et et PROPN bitcs-6478 38 5 al al PROPN bitcs-6478 38 6 . . PUNCT bitcs-6478 39 1 [ [ X bitcs-6478 39 2 8 8 NUM bitcs-6478 39 3 ] ] PUNCT bitcs-6478 39 4 looked look VERB bitcs-6478 39 5 into into ADP bitcs-6478 39 6 a a DET bitcs-6478 39 7 number number NOUN bitcs-6478 39 8 of of ADP bitcs-6478 39 9 data datum NOUN bitcs-6478 39 10 mining mining NOUN bitcs-6478 39 11 ( ( PUNCT bitcs-6478 39 12 dm dm NOUN bitcs-6478 39 13 ) ) PUNCT bitcs-6478 39 14 methods method NOUN bitcs-6478 39 15 to to PART bitcs-6478 39 16 predict predict VERB bitcs-6478 39 17 the the DET bitcs-6478 39 18 recurrence recurrence NOUN bitcs-6478 39 19 of of ADP bitcs-6478 39 20 bc bc PROPN bitcs-6478 39 21 . . PUNCT bitcs-6478 40 1 they they PRON bitcs-6478 40 2 employed employ VERB bitcs-6478 40 3 particle particle NOUN bitcs-6478 40 4 swarm swarm NOUN bitcs-6478 40 5 optimization optimization NOUN bitcs-6478 40 6 ( ( PUNCT bitcs-6478 40 7 pso pso NOUN bitcs-6478 40 8 ) ) PUNCT bitcs-6478 40 9 as as ADP bitcs-6478 40 10 feature feature NOUN bitcs-6478 40 11 selection selection NOUN bitcs-6478 40 12 technique technique NOUN bitcs-6478 40 13 for for ADP bitcs-6478 40 14 k k ADV bitcs-6478 40 15 - - PUNCT bitcs-6478 40 16 nearest near ADJ bitcs-6478 40 17 neighbor neighbor NOUN bitcs-6478 40 18 ( ( PUNCT bitcs-6478 40 19 k k NOUN bitcs-6478 40 20 - - PUNCT bitcs-6478 40 21 nn nn NOUN bitcs-6478 40 22 ) ) PUNCT bitcs-6478 40 23 , , PUNCT bitcs-6478 40 24 naΓ―ve naΓ―ve ADJ bitcs-6478 40 25 bayes bayes PROPN bitcs-6478 40 26 ( ( PUNCT bitcs-6478 40 27 nb nb NOUN bitcs-6478 40 28 ) ) PUNCT bitcs-6478 40 29 , , PUNCT bitcs-6478 40 30 and and CCONJ bitcs-6478 40 31 rapid rapid ADJ bitcs-6478 40 32 decision decision NOUN bitcs-6478 40 33 tree tree NOUN bitcs-6478 40 34 ( ( PUNCT bitcs-6478 40 35 dt dt NOUN bitcs-6478 40 36 ) ) PUNCT bitcs-6478 40 37 learners learner NOUN bitcs-6478 40 38 in in ADP bitcs-6478 40 39 order order NOUN bitcs-6478 40 40 to to PART bitcs-6478 40 41 increase increase VERB bitcs-6478 40 42 the the DET bitcs-6478 40 43 accuracy accuracy NOUN bitcs-6478 40 44 of of ADP bitcs-6478 40 45 the the DET bitcs-6478 40 46 prediction prediction NOUN bitcs-6478 40 47 model model NOUN bitcs-6478 40 48 . . PUNCT bitcs-6478 41 1 the the DET bitcs-6478 41 2 results result NOUN bitcs-6478 41 3 of of ADP bitcs-6478 41 4 this this DET bitcs-6478 41 5 study study NOUN bitcs-6478 41 6 have have AUX bitcs-6478 41 7 shown show VERB bitcs-6478 41 8 that that SCONJ bitcs-6478 41 9 the the DET bitcs-6478 41 10 prediction prediction NOUN bitcs-6478 41 11 model model NOUN bitcs-6478 41 12 of of ADP bitcs-6478 41 13 the the DET bitcs-6478 41 14 recurrence recurrence NOUN bitcs-6478 41 15 of of ADP bitcs-6478 41 16 bc bc PROPN bitcs-6478 41 17 through through ADP bitcs-6478 41 18 using use VERB bitcs-6478 41 19 fast fast ADJ bitcs-6478 41 20 decision decision NOUN bitcs-6478 41 21 tree tree NOUN bitcs-6478 41 22 learner learner NOUN bitcs-6478 41 23 ( ( PUNCT bitcs-6478 41 24 reptree reptree NOUN bitcs-6478 41 25 ) ) PUNCT bitcs-6478 41 26 as as SCONJ bitcs-6478 41 27 classifier classifier NOUN bitcs-6478 41 28 had have VERB bitcs-6478 41 29 higher high ADJ bitcs-6478 41 30 accuracy accuracy NOUN bitcs-6478 41 31 rate rate NOUN bitcs-6478 41 32 , , PUNCT bitcs-6478 41 33 which which PRON bitcs-6478 41 34 has have AUX bitcs-6478 41 35 been be AUX bitcs-6478 41 36 equal equal ADJ bitcs-6478 41 37 to to ADP bitcs-6478 41 38 76.3i% 76.3i% NOUN bitcs-6478 41 39 in in ADP bitcs-6478 41 40 comparison comparison NOUN bitcs-6478 41 41 to to ADP bitcs-6478 41 42 k k X bitcs-6478 41 43 - - PUNCT bitcs-6478 41 44 nn nn PROPN bitcs-6478 41 45 and and CCONJ bitcs-6478 41 46 nb nb PROPN bitcs-6478 41 47 classifiers classifier NOUN bitcs-6478 41 48 . . PUNCT bitcs-6478 42 1 keles kele NOUN bitcs-6478 42 2 etal etal NOUN bitcs-6478 42 3 . . PUNCT bitcs-6478 43 1 [ [ X bitcs-6478 43 2 9 9 NUM bitcs-6478 43 3 ] ] PUNCT bitcs-6478 43 4 used use VERB bitcs-6478 43 5 non non ADJ bitcs-6478 43 6 - - ADJ bitcs-6478 43 7 invasive invasive ADJ bitcs-6478 43 8 and and CCONJ bitcs-6478 43 9 painless painless ADJ bitcs-6478 43 10 approaches approach NOUN bitcs-6478 43 11 for for ADP bitcs-6478 43 12 bc bc PROPN bitcs-6478 43 13 prediction prediction NOUN bitcs-6478 43 14 and and CCONJ bitcs-6478 43 15 diagnosing diagnose VERB bitcs-6478 43 16 with with ADP bitcs-6478 43 17 the the DET bitcs-6478 43 18 use use NOUN bitcs-6478 43 19 of of ADP bitcs-6478 43 20 dm dm NUM bitcs-6478 43 21 algorithms algorithm NOUN bitcs-6478 43 22 . . PUNCT bitcs-6478 44 1 they they PRON bitcs-6478 44 2 have have AUX bitcs-6478 44 3 studied study VERB bitcs-6478 44 4 several several ADJ bitcs-6478 44 5 algorithms algorithm NOUN bitcs-6478 44 6 for for ADP bitcs-6478 44 7 bc bc PROPN bitcs-6478 44 8 classification classification NOUN bitcs-6478 44 9 utilizing utilize VERB bitcs-6478 44 10 ten ten ADJ bitcs-6478 44 11 - - ADJ bitcs-6478 44 12 fold fold ADJ bitcs-6478 44 13 cross cross ADJ bitcs-6478 44 14 - - ADJ bitcs-6478 44 15 validation validation ADJ bitcs-6478 44 16 method method NOUN bitcs-6478 44 17 for for ADP bitcs-6478 44 18 the the DET bitcs-6478 44 19 assessment assessment NOUN bitcs-6478 44 20 of of ADP bitcs-6478 44 21 each each DET bitcs-6478 44 22 one one NOUN bitcs-6478 44 23 's 's PART bitcs-6478 44 24 predictive predictive ADJ bitcs-6478 44 25 power power NOUN bitcs-6478 44 26 for for ADP bitcs-6478 44 27 the the DET bitcs-6478 44 28 relative relative ADJ bitcs-6478 44 29 results result NOUN bitcs-6478 44 30 , , PUNCT bitcs-6478 44 31 using use VERB bitcs-6478 44 32 readings reading NOUN bitcs-6478 44 33 from from ADP bitcs-6478 44 34 antenna antenna NOUN bitcs-6478 44 35 as as ADP bitcs-6478 44 36 a a DET bitcs-6478 44 37 dataset dataset NOUN bitcs-6478 44 38 . . PUNCT bitcs-6478 45 1 the the DET bitcs-6478 45 2 optimal optimal ADJ bitcs-6478 45 3 algorithms algorithm NOUN bitcs-6478 45 4 were be AUX bitcs-6478 45 5 ibk ibk ADJ bitcs-6478 45 6 , , PUNCT bitcs-6478 45 7 bagging bagging NOUN bitcs-6478 45 8 , , PUNCT bitcs-6478 45 9 random random ADJ bitcs-6478 45 10 committee committee NOUN bitcs-6478 45 11 , , PUNCT bitcs-6478 45 12 rf rf NOUN bitcs-6478 45 13 , , PUNCT bitcs-6478 45 14 and and CCONJ bitcs-6478 45 15 simple simple ADJ bitcs-6478 45 16 classification classification NOUN bitcs-6478 45 17 and and CCONJ bitcs-6478 45 18 regression regression NOUN bitcs-6478 45 19 tree tree NOUN bitcs-6478 45 20 ( ( PUNCT bitcs-6478 45 21 simplecart simplecart NOUN bitcs-6478 45 22 ) ) PUNCT bitcs-6478 45 23 , , PUNCT bitcs-6478 45 24 which which PRON bitcs-6478 45 25 had have VERB bitcs-6478 45 26 an an DET bitcs-6478 45 27 over over ADP bitcs-6478 45 28 90 90 NUM bitcs-6478 45 29 % % NOUN bitcs-6478 45 30 detection detection NOUN bitcs-6478 45 31 accuracy accuracy NOUN bitcs-6478 45 32 . . PUNCT bitcs-6478 46 1 through through ADP bitcs-6478 46 2 using use VERB bitcs-6478 46 3 patient patient ADJ bitcs-6478 46 4 data datum NOUN bitcs-6478 46 5 that that PRON bitcs-6478 46 6 is be AUX bitcs-6478 46 7 related relate VERB bitcs-6478 46 8 to to ADP bitcs-6478 46 9 bc bc PROPN bitcs-6478 46 10 , , PUNCT bitcs-6478 46 11 ferroni ferroni ADJ bitcs-6478 46 12 etal etal NOUN bitcs-6478 46 13 . . PUNCT bitcs-6478 47 1 [ [ X bitcs-6478 47 2 10 10 NUM bitcs-6478 47 3 ] ] PUNCT bitcs-6478 47 4 have have AUX bitcs-6478 47 5 made make VERB bitcs-6478 47 6 an an DET bitcs-6478 47 7 identification identification NOUN bitcs-6478 47 8 of of ADP bitcs-6478 47 9 ml ml NOUN bitcs-6478 47 10 - - PUNCT bitcs-6478 47 11 based base VERB bitcs-6478 47 12 decision decision NOUN bitcs-6478 47 13 support support NOUN bitcs-6478 47 14 system system NOUN bitcs-6478 47 15 ( ( PUNCT bitcs-6478 47 16 dss dss NOUN bitcs-6478 47 17 ) ) PUNCT bitcs-6478 47 18 significance significance NOUN bitcs-6478 47 19 combined combine VERB bitcs-6478 47 20 with with ADP bitcs-6478 47 21 the the DET bitcs-6478 47 22 random random ADJ bitcs-6478 47 23 optimization optimization NOUN bitcs-6478 47 24 ( ( PUNCT bitcs-6478 47 25 ro ro NOUN bitcs-6478 47 26 ) ) PUNCT bitcs-6478 47 27 . . PUNCT bitcs-6478 48 1 the the DET bitcs-6478 48 2 dss dss NOUN bitcs-6478 48 3 model model NOUN bitcs-6478 48 4 was be AUX bitcs-6478 48 5 built build VERB bitcs-6478 48 6 with with ADP bitcs-6478 48 7 the the DET bitcs-6478 48 8 use use NOUN bitcs-6478 48 9 of of ADP bitcs-6478 48 10 multiple multiple ADJ bitcs-6478 48 11 kernel kernel NOUN bitcs-6478 48 12 learning learning PROPN bitcs-6478 48 13 ( ( PUNCT bitcs-6478 48 14 mkl mkl PROPN bitcs-6478 48 15 ) ) PUNCT bitcs-6478 48 16 , , PUNCT bitcs-6478 48 17 which which PRON bitcs-6478 48 18 has have AUX bitcs-6478 48 19 first first ADV bitcs-6478 48 20 been be AUX bitcs-6478 48 21 created create VERB bitcs-6478 48 22 for for ADP bitcs-6478 48 23 assessing assess VERB bitcs-6478 48 24 risks risk NOUN bitcs-6478 48 25 of of ADP bitcs-6478 48 26 cancer cancer NOUN bitcs-6478 48 27 - - PUNCT bitcs-6478 48 28 related relate VERB bitcs-6478 48 29 thrombosis thrombosis NOUN bitcs-6478 48 30 . . PUNCT bitcs-6478 49 1 the the DET bitcs-6478 49 2 mkl mkl PROPN bitcs-6478 49 3 was be AUX bitcs-6478 49 4 expanded expand VERB bitcs-6478 49 5 for for ADP bitcs-6478 49 6 the the DET bitcs-6478 49 7 prediction prediction NOUN bitcs-6478 49 8 of of ADP bitcs-6478 49 9 disease disease NOUN bitcs-6478 49 10 progression progression NOUN bitcs-6478 49 11 risks risk NOUN bitcs-6478 49 12 for for ADP bitcs-6478 49 13 patients patient NOUN bitcs-6478 49 14 with with ADP bitcs-6478 49 15 breast breast NOUN bitcs-6478 49 16 cancer cancer NOUN bitcs-6478 49 17 in in ADP bitcs-6478 49 18 oncology oncology NOUN bitcs-6478 49 19 setting setting NOUN bitcs-6478 49 20 . . PUNCT bitcs-6478 50 1 as as SCONJ bitcs-6478 50 2 it it PRON bitcs-6478 50 3 has have AUX bitcs-6478 50 4 been be AUX bitcs-6478 50 5 foreseen foresee VERB bitcs-6478 50 6 , , PUNCT bitcs-6478 50 7 their their PRON bitcs-6478 50 8 suggested suggest VERB bitcs-6478 50 9 model model NOUN bitcs-6478 50 10 had have AUX bitcs-6478 50 11 produced produce VERB bitcs-6478 50 12 a a DET bitcs-6478 50 13 10.90 10.90 NUM bitcs-6478 50 14 hazard hazard NOUN bitcs-6478 50 15 ratio ratio NOUN bitcs-6478 50 16 ( ( PUNCT bitcs-6478 50 17 hr hr NOUN bitcs-6478 50 18 ) ) PUNCT bitcs-6478 50 19 and and CCONJ bitcs-6478 50 20 a a DET bitcs-6478 50 21 c c NOUN bitcs-6478 50 22 - - PUNCT bitcs-6478 50 23 index index NOUN bitcs-6478 50 24 for for ADP bitcs-6478 50 25 pfs pfs PROPN bitcs-6478 50 26 ( ( PUNCT bitcs-6478 50 27 i.e. i.e. X bitcs-6478 50 28 , , PUNCT bitcs-6478 50 29 progression progression NOUN bitcs-6478 50 30 - - PUNCT bitcs-6478 50 31 free free ADJ bitcs-6478 50 32 survival survival NOUN bitcs-6478 50 33 ) ) PUNCT bitcs-6478 50 34 of of ADP bitcs-6478 50 35 0.84 0.84 NUM bitcs-6478 50 36 , , PUNCT bitcs-6478 50 37 with with ADP bitcs-6478 50 38 a a DET bitcs-6478 50 39 86 86 NUM bitcs-6478 50 40 % % NOUN bitcs-6478 50 41 rate rate NOUN bitcs-6478 50 42 accuracy accuracy NOUN bitcs-6478 50 43 . . PUNCT bitcs-6478 51 1 akben akben PROPN bitcs-6478 51 2 [ [ X bitcs-6478 51 3 11 11 NUM bitcs-6478 51 4 ] ] PUNCT bitcs-6478 51 5 had have AUX bitcs-6478 51 6 presented present VERB bitcs-6478 51 7 a a DET bitcs-6478 51 8 decision decision NOUN bitcs-6478 51 9 tree tree NOUN bitcs-6478 51 10 model model NOUN bitcs-6478 51 11 for for ADP bitcs-6478 51 12 the the DET bitcs-6478 51 13 diagnosis diagnosis NOUN bitcs-6478 51 14 of of ADP bitcs-6478 51 15 bc bc PROPN bitcs-6478 51 16 by by ADP bitcs-6478 51 17 utilizing utilize VERB bitcs-6478 51 18 coimbra coimbra PROPN bitcs-6478 51 19 data data NOUN bitcs-6478 51 20 - - PUNCT bitcs-6478 51 21 set set NOUN bitcs-6478 51 22 . . PUNCT bitcs-6478 52 1 this this DET bitcs-6478 52 2 dt dt PROPN bitcs-6478 52 3 had have AUX bitcs-6478 52 4 employed employ VERB bitcs-6478 52 5 gini gini NOUN bitcs-6478 52 6 index index NOUN bitcs-6478 52 7 in in ADP bitcs-6478 52 8 their their PRON bitcs-6478 52 9 research research NOUN bitcs-6478 52 10 for for ADP bitcs-6478 52 11 ascertaining ascertain VERB bitcs-6478 52 12 attribute attribute NOUN bitcs-6478 52 13 importance importance NOUN bitcs-6478 52 14 degree degree NOUN bitcs-6478 52 15 . . PUNCT bitcs-6478 53 1 compared compare VERB bitcs-6478 53 2 with with ADP bitcs-6478 53 3 existing exist VERB bitcs-6478 53 4 models model NOUN bitcs-6478 53 5 , , PUNCT bitcs-6478 53 6 which which PRON bitcs-6478 53 7 include include VERB bitcs-6478 53 8 k k PROPN bitcs-6478 53 9 - - PUNCT bitcs-6478 53 10 nn nn PROPN bitcs-6478 53 11 , , PUNCT bitcs-6478 53 12 ann ann PROPN bitcs-6478 53 13 , , PUNCT bitcs-6478 53 14 svm svm PROPN bitcs-6478 53 15 , , PUNCT bitcs-6478 53 16 nb nb INTJ bitcs-6478 53 17 , , PUNCT bitcs-6478 53 18 adaptive adaptive ADJ bitcs-6478 53 19 boosting boosting NOUN bitcs-6478 53 20 ( ( PUNCT bitcs-6478 53 21 adaboost adaboost ADV bitcs-6478 53 22 ) ) PUNCT bitcs-6478 53 23 , , PUNCT bitcs-6478 53 24 and and CCONJ bitcs-6478 53 25 so so ADV bitcs-6478 53 26 on on ADV bitcs-6478 53 27 , , PUNCT bitcs-6478 53 28 the the DET bitcs-6478 53 29 proposed propose VERB bitcs-6478 53 30 diagnostic diagnostic ADJ bitcs-6478 53 31 approach approach NOUN bitcs-6478 53 32 had have VERB bitcs-6478 53 33 a a DET bitcs-6478 53 34 90.52 90.52 NUM bitcs-6478 53 35 % % NOUN bitcs-6478 53 36 accuracy accuracy NOUN bitcs-6478 53 37 rate rate NOUN bitcs-6478 53 38 , , PUNCT bitcs-6478 53 39 according accord VERB bitcs-6478 53 40 to to ADP bitcs-6478 53 41 results result NOUN bitcs-6478 53 42 . . PUNCT bitcs-6478 54 1 an an DET bitcs-6478 54 2 ensemble ensemble ADJ bitcs-6478 54 3 model model NOUN bitcs-6478 54 4 for for ADP bitcs-6478 54 5 the the DET bitcs-6478 54 6 prediction prediction NOUN bitcs-6478 54 7 of of ADP bitcs-6478 54 8 breast breast NOUN bitcs-6478 54 9 cancer cancer NOUN bitcs-6478 54 10 has have AUX bitcs-6478 54 11 been be AUX bitcs-6478 54 12 applied apply VERB bitcs-6478 54 13 by by ADP bitcs-6478 54 14 nanglia nanglia PROPN bitcs-6478 54 15 et et PROPN bitcs-6478 54 16 al al PROPN bitcs-6478 54 17 . . PUNCT bitcs-6478 55 1 [ [ X bitcs-6478 55 2 12 12 NUM bitcs-6478 55 3 ] ] PUNCT bitcs-6478 55 4 to to ADP bitcs-6478 55 5 the the DET bitcs-6478 55 6 coimbra coimbra PROPN bitcs-6478 55 7 data data NOUN bitcs-6478 55 8 - - PUNCT bitcs-6478 55 9 set set NOUN bitcs-6478 55 10 . . PUNCT bitcs-6478 56 1 in in ADP bitcs-6478 56 2 this this DET bitcs-6478 56 3 study study NOUN bitcs-6478 56 4 , , PUNCT bitcs-6478 56 5 stacking stacking NOUN bitcs-6478 56 6 has have AUX bitcs-6478 56 7 been be AUX bitcs-6478 56 8 utilized utilize VERB bitcs-6478 56 9 for for ADP bitcs-6478 56 10 the the DET bitcs-6478 56 11 construction construction NOUN bitcs-6478 56 12 of of ADP bitcs-6478 56 13 ensemble ensemble ADJ bitcs-6478 56 14 model model NOUN bitcs-6478 56 15 that that PRON bitcs-6478 56 16 consists consist VERB bitcs-6478 56 17 of of ADP bitcs-6478 56 18 the the DET bitcs-6478 56 19 three three NUM bitcs-6478 56 20 ml ml NOUN bitcs-6478 56 21 algorithms algorithm NOUN bitcs-6478 56 22 svms svms NOUN bitcs-6478 56 23 , , PUNCT bitcs-6478 56 24 dt dt X bitcs-6478 56 25 , , PUNCT bitcs-6478 56 26 and and CCONJ bitcs-6478 56 27 knn knn PROPN bitcs-6478 56 28 . . PUNCT bitcs-6478 56 29 comparing compare VERB bitcs-6478 56 30 their their PRON bitcs-6478 56 31 suggested suggest VERB bitcs-6478 56 32 ensemble ensemble ADJ bitcs-6478 56 33 model model NOUN bitcs-6478 56 34 to to ADP bitcs-6478 56 35 other other ADJ bitcs-6478 56 36 classifiers classifier NOUN bitcs-6478 56 37 they they PRON bitcs-6478 56 38 employed employ VERB bitcs-6478 56 39 in in ADP bitcs-6478 56 40 the the DET bitcs-6478 56 41 research research NOUN bitcs-6478 56 42 ; ; PUNCT bitcs-6478 56 43 it it PRON bitcs-6478 56 44 achieved achieve VERB bitcs-6478 56 45 the the DET bitcs-6478 56 46 highest high ADJ bitcs-6478 56 47 accuracy accuracy NOUN bitcs-6478 56 48 score score NOUN bitcs-6478 56 49 of of ADP bitcs-6478 56 50 up up ADP bitcs-6478 56 51 to to PART bitcs-6478 56 52 78 78 NUM bitcs-6478 56 53 % % NOUN bitcs-6478 56 54 . . PUNCT bitcs-6478 57 1 moreover moreover ADV bitcs-6478 57 2 , , PUNCT bitcs-6478 57 3 the the DET bitcs-6478 57 4 chi chi ADJ bitcs-6478 57 5 - - PUNCT bitcs-6478 57 6 square square ADJ bitcs-6478 57 7 approach approach NOUN bitcs-6478 57 8 was be AUX bitcs-6478 57 9 used use VERB bitcs-6478 57 10 for for ADP bitcs-6478 57 11 the the DET bitcs-6478 57 12 determination determination NOUN bitcs-6478 57 13 of of ADP bitcs-6478 57 14 the the DET bitcs-6478 57 15 top top ADJ bitcs-6478 57 16 five five NUM bitcs-6478 57 17 features feature NOUN bitcs-6478 57 18 , , PUNCT bitcs-6478 57 19 which which PRON bitcs-6478 57 20 included include VERB bitcs-6478 57 21 glucose glucose NOUN bitcs-6478 57 22 , , PUNCT bitcs-6478 57 23 insulin insulin NOUN bitcs-6478 57 24 , , PUNCT bitcs-6478 57 25 bmi bmi PROPN bitcs-6478 57 26 , , PUNCT bitcs-6478 57 27 resistin resistin NOUN bitcs-6478 57 28 , , PUNCT bitcs-6478 57 29 and and CCONJ bitcs-6478 57 30 homeostasis homeostasis NOUN bitcs-6478 57 31 model model NOUN bitcs-6478 57 32 assessment assessment NOUN bitcs-6478 57 33 ( ( PUNCT bitcs-6478 57 34 homa homa NOUN bitcs-6478 57 35 ) ) PUNCT bitcs-6478 57 36 values value NOUN bitcs-6478 57 37 . . PUNCT bitcs-6478 58 1 vol vol NOUN bitcs-6478 58 2 . . PROPN bitcs-6478 59 1 5 5 NUM bitcs-6478 59 2 , , PUNCT bitcs-6478 59 3 no.2 no.2 PROPN bitcs-6478 59 4 june june PROPN bitcs-6478 59 5 2024 2024 NUM bitcs-6478 60 1 | | ADV bitcs-6478 60 2 87 87 NUM bitcs-6478 60 3 3 3 NUM bitcs-6478 60 4 . . PUNCT bitcs-6478 60 5 materials material NOUN bitcs-6478 60 6 and and CCONJ bitcs-6478 60 7 methods method NOUN bitcs-6478 60 8 fig.1 fig.1 PROPN bitcs-6478 60 9 . . PUNCT bitcs-6478 60 10 process process NOUN bitcs-6478 60 11 of of ADP bitcs-6478 60 12 bc bc PROPN bitcs-6478 60 13 detection detection PROPN bitcs-6478 60 14 a. a. NOUN bitcs-6478 60 15 dataset dataset NOUN bitcs-6478 60 16 and and CCONJ bitcs-6478 60 17 attributes attribute NOUN bitcs-6478 60 18 in in ADP bitcs-6478 60 19 the the DET bitcs-6478 60 20 case case NOUN bitcs-6478 60 21 when when SCONJ bitcs-6478 60 22 related related ADJ bitcs-6478 60 23 works work NOUN bitcs-6478 60 24 have have AUX bitcs-6478 60 25 been be AUX bitcs-6478 60 26 analyzed analyze VERB bitcs-6478 60 27 , , PUNCT bitcs-6478 60 28 various various ADJ bitcs-6478 60 29 approaches approach NOUN bitcs-6478 60 30 were be AUX bitcs-6478 60 31 utilized utilize VERB bitcs-6478 60 32 to to PART bitcs-6478 60 33 diagnose diagnose VERB bitcs-6478 60 34 bc bc PROPN bitcs-6478 60 35 . . PUNCT bitcs-6478 61 1 multiple multiple ADJ bitcs-6478 61 2 datasets dataset NOUN bitcs-6478 61 3 are be AUX bitcs-6478 61 4 accessible accessible ADJ bitcs-6478 61 5 for for ADP bitcs-6478 61 6 the the DET bitcs-6478 61 7 identification identification NOUN bitcs-6478 61 8 of of ADP bitcs-6478 61 9 bc bc PROPN bitcs-6478 61 10 . . PROPN bitcs-6478 61 11 uci uci PROPN bitcs-6478 61 12 ml ml PROPN bitcs-6478 61 13 repository repository PROPN bitcs-6478 61 14 provided provide VERB bitcs-6478 61 15 the the DET bitcs-6478 61 16 bccd bccd NOUN bitcs-6478 61 17 , , PUNCT bitcs-6478 61 18 which which PRON bitcs-6478 61 19 consists consist VERB bitcs-6478 61 20 of of ADP bitcs-6478 61 21 4000 4000 NUM bitcs-6478 61 22 observations observation NOUN bitcs-6478 61 23 and and CCONJ bitcs-6478 61 24 10 10 NUM bitcs-6478 61 25 attributes attribute NOUN bitcs-6478 61 26 , , PUNCT bitcs-6478 61 27 one one NUM bitcs-6478 61 28 of of ADP bitcs-6478 61 29 which which PRON bitcs-6478 61 30 is be AUX bitcs-6478 61 31 a a DET bitcs-6478 61 32 class class NOUN bitcs-6478 61 33 variable variable NOUN bitcs-6478 61 34 ( ( PUNCT bitcs-6478 61 35 1 1 NUM bitcs-6478 61 36 = = NOUN bitcs-6478 61 37 healthy healthy ADJ bitcs-6478 61 38 , , PUNCT bitcs-6478 61 39 2 2 NUM bitcs-6478 61 40 = = SYM bitcs-6478 61 41 patient patient NOUN bitcs-6478 61 42 ) ) PUNCT bitcs-6478 61 43 . . PUNCT bitcs-6478 62 1 the the DET bitcs-6478 62 2 dataset dataset NOUN bitcs-6478 62 3 's 's PART bitcs-6478 62 4 attributes attribute NOUN bitcs-6478 62 5 are be AUX bitcs-6478 62 6 listed list VERB bitcs-6478 62 7 in in ADP bitcs-6478 62 8 table table NOUN bitcs-6478 62 9 1 1 NUM bitcs-6478 62 10 . . PUNCT bitcs-6478 63 1 table1 table1 PROPN bitcs-6478 63 2 . . PUNCT bitcs-6478 64 1 data data NOUN bitcs-6478 64 2 - - PUNCT bitcs-6478 64 3 set set VERB bitcs-6478 64 4 attributes attribute VERB bitcs-6478 64 5 no no DET bitcs-6478 64 6 attribute attribute NOUN bitcs-6478 64 7 name name NOUN bitcs-6478 64 8 type type NOUN bitcs-6478 64 9 1 1 NUM bitcs-6478 64 10 2 2 NUM bitcs-6478 64 11 3 3 NUM bitcs-6478 64 12 4 4 NUM bitcs-6478 64 13 5 5 NUM bitcs-6478 64 14 6 6 NUM bitcs-6478 64 15 7 7 NUM bitcs-6478 64 16 8 8 NUM bitcs-6478 64 17 9 9 NUM bitcs-6478 64 18 10 10 NUM bitcs-6478 64 19 age age NOUN bitcs-6478 64 20 bmi bmi NOUN bitcs-6478 64 21 glucose glucose NOUN bitcs-6478 64 22 insulin insulin NOUN bitcs-6478 64 23 homa homa NOUN bitcs-6478 64 24 leptin leptin NOUN bitcs-6478 64 25 adiponectin adiponectin NOUN bitcs-6478 64 26 resistin resistin NOUN bitcs-6478 64 27 mcp.1 mcp.1 NUM bitcs-6478 64 28 classification classification NOUN bitcs-6478 64 29 numeric numeric ADV bitcs-6478 64 30 numeric numeric ADV bitcs-6478 64 31 numeric numeric PROPN bitcs-6478 64 32 numeric numeric PROPN bitcs-6478 64 33 numeric numeric PROPN bitcs-6478 64 34 numeric numeric PROPN bitcs-6478 64 35 numeric numeric PROPN bitcs-6478 64 36 numeric numeric PROPN bitcs-6478 64 37 numeric numeric PROPN bitcs-6478 64 38 numeric numeric PROPN bitcs-6478 64 39 b. b. PROPN bitcs-6478 64 40 dataset dataset NOUN bitcs-6478 64 41 preprocessing preprocesse VERB bitcs-6478 64 42 one one NUM bitcs-6478 64 43 of of ADP bitcs-6478 64 44 the the DET bitcs-6478 64 45 most most ADV bitcs-6478 64 46 important important ADJ bitcs-6478 64 47 phases phase NOUN bitcs-6478 64 48 of of ADP bitcs-6478 64 49 ml ml ADP bitcs-6478 64 50 classification classification NOUN bitcs-6478 64 51 is be AUX bitcs-6478 64 52 data datum NOUN bitcs-6478 64 53 preprocessing preprocessing NOUN bitcs-6478 64 54 , , PUNCT bitcs-6478 64 55 since since SCONJ bitcs-6478 64 56 cleaner clean ADJ bitcs-6478 64 57 data datum NOUN bitcs-6478 64 58 typically typically ADV bitcs-6478 64 59 yields yield VERB bitcs-6478 64 60 higher high ADJ bitcs-6478 64 61 classification classification NOUN bitcs-6478 64 62 results result NOUN bitcs-6478 64 63 . . PUNCT bitcs-6478 65 1 the the DET bitcs-6478 65 2 model model NOUN bitcs-6478 65 3 's 's PART bitcs-6478 65 4 pre pre ADJ bitcs-6478 65 5 - - ADJ bitcs-6478 65 6 processing processing ADJ bitcs-6478 65 7 methods method NOUN bitcs-6478 65 8 are be AUX bitcs-6478 65 9 outlined outline VERB bitcs-6478 65 10 as as SCONJ bitcs-6478 65 11 follows follow VERB bitcs-6478 65 12 : : PUNCT bitcs-6478 65 13 reduce reduce VERB bitcs-6478 65 14 noisy noisy ADJ bitcs-6478 65 15 data datum NOUN bitcs-6478 65 16 : : PUNCT bitcs-6478 65 17 in in ADP bitcs-6478 65 18 ml ml ADP bitcs-6478 65 19 , , PUNCT bitcs-6478 65 20 attribute attribute NOUN bitcs-6478 65 21 noise noise NOUN bitcs-6478 65 22 as as ADV bitcs-6478 65 23 well well ADV bitcs-6478 65 24 as as ADP bitcs-6478 65 25 class class NOUN bitcs-6478 65 26 noise noise NOUN bitcs-6478 65 27 are be AUX bitcs-6478 65 28 the the DET bitcs-6478 65 29 two two NUM bitcs-6478 65 30 types type NOUN bitcs-6478 65 31 of of ADP bitcs-6478 65 32 data datum NOUN bitcs-6478 65 33 noise noise NOUN bitcs-6478 65 34 . . PUNCT bitcs-6478 66 1 nonetheless nonetheless ADV bitcs-6478 66 2 , , PUNCT bitcs-6478 66 3 attribute attribute NOUN bitcs-6478 66 4 noise noise NOUN bitcs-6478 66 5 is be AUX bitcs-6478 66 6 decreased decrease VERB bitcs-6478 66 7 in in ADP bitcs-6478 66 8 the the DET bitcs-6478 66 9 suggested suggest VERB bitcs-6478 66 10 model model NOUN bitcs-6478 66 11 to to PART bitcs-6478 66 12 improve improve VERB bitcs-6478 66 13 accuracy accuracy NOUN bitcs-6478 66 14 . . PUNCT bitcs-6478 67 1 the the DET bitcs-6478 67 2 data data NOUN bitcs-6478 67 3 - - PUNCT bitcs-6478 67 4 set set NOUN bitcs-6478 67 5 is be AUX bitcs-6478 67 6 split split VERB bitcs-6478 67 7 up up ADP bitcs-6478 67 8 into into ADP bitcs-6478 67 9 sections section NOUN bitcs-6478 67 10 for for ADP bitcs-6478 67 11 process process NOUN bitcs-6478 67 12 analysis analysis NOUN bitcs-6478 67 13 training training NOUN bitcs-6478 67 14 and and CCONJ bitcs-6478 67 15 testing testing NOUN bitcs-6478 67 16 . . PUNCT bitcs-6478 68 1 thirty thirty NUM bitcs-6478 68 2 percent percent NOUN bitcs-6478 68 3 is be AUX bitcs-6478 68 4 utilized utilize VERB bitcs-6478 68 5 for for ADP bitcs-6478 68 6 testing testing NOUN bitcs-6478 68 7 and and CCONJ bitcs-6478 68 8 seventy seventy NUM bitcs-6478 68 9 percent percent NOUN bitcs-6478 68 10 is be AUX bitcs-6478 68 11 used use VERB bitcs-6478 68 12 for for ADP bitcs-6478 68 13 training training NOUN bitcs-6478 68 14 . . PUNCT bitcs-6478 69 1 c. c. NOUN bitcs-6478 69 2 classification classification NOUN bitcs-6478 69 3 through through ADP bitcs-6478 69 4 classifying classify VERB bitcs-6478 69 5 the the DET bitcs-6478 69 6 records record NOUN bitcs-6478 69 7 into into ADP bitcs-6478 69 8 predefined predefined ADJ bitcs-6478 69 9 classes class NOUN bitcs-6478 69 10 , , PUNCT bitcs-6478 69 11 classification classification NOUN bitcs-6478 69 12 is be AUX bitcs-6478 69 13 a a DET bitcs-6478 69 14 model model NOUN bitcs-6478 69 15 utilized utilize VERB bitcs-6478 69 16 for for ADP bitcs-6478 69 17 predicting predict VERB bitcs-6478 69 18 the the DET bitcs-6478 69 19 future future ADJ bitcs-6478 69 20 behavior behavior NOUN bitcs-6478 69 21 regarding regard VERB bitcs-6478 69 22 the the DET bitcs-6478 69 23 data datum NOUN bitcs-6478 69 24 . . PUNCT bitcs-6478 70 1 with with ADP bitcs-6478 70 2 the the DET bitcs-6478 70 3 use use NOUN bitcs-6478 70 4 of of ADP bitcs-6478 70 5 testing testing NOUN bitcs-6478 70 6 and and CCONJ bitcs-6478 70 7 training training NOUN bitcs-6478 70 8 data data NOUN bitcs-6478 70 9 sets set NOUN bitcs-6478 70 10 , , PUNCT bitcs-6478 70 11 accurate accurate ADJ bitcs-6478 70 12 disease disease NOUN bitcs-6478 70 13 detection detection NOUN bitcs-6478 70 14 is be AUX bitcs-6478 70 15 possible possible ADJ bitcs-6478 70 16 in in ADP bitcs-6478 70 17 classification classification NOUN bitcs-6478 70 18 . . PUNCT bitcs-6478 71 1 to to PART bitcs-6478 71 2 construct construct VERB bitcs-6478 71 3 the the DET bitcs-6478 71 4 prediction prediction NOUN bitcs-6478 71 5 , , PUNCT bitcs-6478 71 6 it it PRON bitcs-6478 71 7 suggests suggest VERB bitcs-6478 71 8 using use VERB bitcs-6478 71 9 two two NUM bitcs-6478 71 10 ml ml NOUN bitcs-6478 71 11 models model NOUN bitcs-6478 71 12 . . PUNCT bitcs-6478 72 1 test test NOUN bitcs-6478 72 2 data datum NOUN bitcs-6478 72 3 is be AUX bitcs-6478 72 4 used use VERB bitcs-6478 72 5 after after ADP bitcs-6478 72 6 training train VERB bitcs-6478 72 7 data datum NOUN bitcs-6478 72 8 across across ADP bitcs-6478 72 9 ml ml NOUN bitcs-6478 72 10 models model NOUN bitcs-6478 72 11 , , PUNCT bitcs-6478 72 12 i.e. i.e. X bitcs-6478 72 13 , , PUNCT bitcs-6478 72 14 xgboost xgboost ADV bitcs-6478 72 15 predicts predict NOUN bitcs-6478 72 16 using use VERB bitcs-6478 72 17 each each DET bitcs-6478 72 18 learned learn VERB bitcs-6478 72 19 model model NOUN bitcs-6478 72 20 individually individually ADV bitcs-6478 72 21 . . PUNCT bitcs-6478 73 1 among among ADP bitcs-6478 73 2 the the DET bitcs-6478 73 3 criteria criterion NOUN bitcs-6478 73 4 are be AUX bitcs-6478 73 5 recall recall NOUN bitcs-6478 73 6 , , PUNCT bitcs-6478 73 7 f1 f1 NOUN bitcs-6478 73 8 - - PUNCT bitcs-6478 73 9 score score NOUN bitcs-6478 73 10 , , PUNCT bitcs-6478 73 11 accuracy accuracy NOUN bitcs-6478 73 12 , , PUNCT bitcs-6478 73 13 and and CCONJ bitcs-6478 73 14 precision precision NOUN bitcs-6478 73 15 . . PUNCT bitcs-6478 74 1 vol vol NOUN bitcs-6478 74 2 . . PROPN bitcs-6478 75 1 5 5 NUM bitcs-6478 75 2 , , PUNCT bitcs-6478 75 3 no.2 no.2 PROPN bitcs-6478 75 4 june june PROPN bitcs-6478 75 5 2024 2024 NUM bitcs-6478 76 1 | | ADV bitcs-6478 76 2 88 88 NUM bitcs-6478 76 3 a. a. NOUN bitcs-6478 76 4 extreme extreme NOUN bitcs-6478 76 5 gradient gradient NOUN bitcs-6478 76 6 boosting boost VERB bitcs-6478 76 7 ( ( PUNCT bitcs-6478 76 8 xgboost xgboost ADV bitcs-6478 76 9 ) ) PUNCT bitcs-6478 76 10 classifier classifier NOUN bitcs-6478 76 11 xgboost xgboost PROPN bitcs-6478 76 12 can can AUX bitcs-6478 76 13 be be AUX bitcs-6478 76 14 defined define VERB bitcs-6478 76 15 as as ADP bitcs-6478 76 16 a a DET bitcs-6478 76 17 gradient gradient NOUN bitcs-6478 76 18 - - PUNCT bitcs-6478 76 19 boosting boost VERB bitcs-6478 76 20 method method NOUN bitcs-6478 76 21 that that PRON bitcs-6478 76 22 makes make VERB bitcs-6478 76 23 use use NOUN bitcs-6478 76 24 of of ADP bitcs-6478 76 25 dts dt NOUN bitcs-6478 76 26 and and CCONJ bitcs-6478 76 27 ensemble ensemble ADJ bitcs-6478 76 28 ml ml NOUN bitcs-6478 76 29 methods method NOUN bitcs-6478 76 30 . . PUNCT bitcs-6478 77 1 this this DET bitcs-6478 77 2 ml ml NOUN bitcs-6478 77 3 method method NOUN bitcs-6478 77 4 can can AUX bitcs-6478 77 5 yield yield VERB bitcs-6478 77 6 very very ADV bitcs-6478 77 7 important important ADJ bitcs-6478 77 8 results result NOUN bitcs-6478 77 9 because because SCONJ bitcs-6478 77 10 of of ADP bitcs-6478 77 11 its its PRON bitcs-6478 77 12 scalability scalability NOUN bitcs-6478 77 13 and and CCONJ bitcs-6478 77 14 high high ADJ bitcs-6478 77 15 processing processing NOUN bitcs-6478 77 16 speed speed NOUN bitcs-6478 77 17 . . PUNCT bitcs-6478 78 1 xgboost xgboost PROPN bitcs-6478 78 2 is be AUX bitcs-6478 78 3 applied apply VERB bitcs-6478 78 4 to to ADP bitcs-6478 78 5 both both DET bitcs-6478 78 6 classification classification NOUN bitcs-6478 78 7 and and CCONJ bitcs-6478 78 8 regression regression NOUN bitcs-6478 78 9 tasks task NOUN bitcs-6478 78 10 . . PUNCT bitcs-6478 79 1 the the DET bitcs-6478 79 2 concept concept NOUN bitcs-6478 79 3 of of ADP bitcs-6478 79 4 this this DET bitcs-6478 79 5 method method NOUN bitcs-6478 79 6 is be AUX bitcs-6478 79 7 to to PART bitcs-6478 79 8 find find VERB bitcs-6478 79 9 weak weak ADJ bitcs-6478 79 10 classifiers classifier NOUN bitcs-6478 79 11 iteratively iteratively ADV bitcs-6478 79 12 in in ADP bitcs-6478 79 13 order order NOUN bitcs-6478 79 14 to to PART bitcs-6478 79 15 get get VERB bitcs-6478 79 16 a a DET bitcs-6478 79 17 correct correct ADJ bitcs-6478 79 18 classification classification NOUN bitcs-6478 79 19 . . PUNCT bitcs-6478 80 1 it it PRON bitcs-6478 80 2 creates create VERB bitcs-6478 80 3 customized customize VERB bitcs-6478 80 4 dts dts NOUN bitcs-6478 80 5 through through ADP bitcs-6478 80 6 the the DET bitcs-6478 80 7 gradient gradient ADJ bitcs-6478 80 8 descent descent NOUN bitcs-6478 80 9 technique technique NOUN bitcs-6478 80 10 through through ADP bitcs-6478 80 11 first first ADV bitcs-6478 80 12 establishing establish VERB bitcs-6478 80 13 a a DET bitcs-6478 80 14 range range NOUN bitcs-6478 80 15 of of ADP bitcs-6478 80 16 threshold threshold NOUN bitcs-6478 80 17 values value NOUN bitcs-6478 80 18 , , PUNCT bitcs-6478 80 19 which which PRON bitcs-6478 80 20 are be AUX bitcs-6478 80 21 after after ADP bitcs-6478 80 22 that that PRON bitcs-6478 80 23 updated update VERB bitcs-6478 80 24 repeatedly repeatedly ADV bitcs-6478 80 25 through through ADP bitcs-6478 80 26 reducing reduce VERB bitcs-6478 80 27 residuals residual NOUN bitcs-6478 80 28 throughout throughout ADP bitcs-6478 80 29 tree tree NOUN bitcs-6478 80 30 construction construction NOUN bitcs-6478 80 31 . . PUNCT bitcs-6478 81 1 regression regression NOUN bitcs-6478 81 2 trees tree NOUN bitcs-6478 81 3 can can AUX bitcs-6478 81 4 be be AUX bitcs-6478 81 5 considered consider VERB bitcs-6478 81 6 as as ADP bitcs-6478 81 7 the the DET bitcs-6478 81 8 weak weak ADJ bitcs-6478 81 9 learners learner NOUN bitcs-6478 81 10 when when SCONJ bitcs-6478 81 11 gradient gradient ADJ bitcs-6478 81 12 boosts boost NOUN bitcs-6478 81 13 are be AUX bitcs-6478 81 14 applied apply VERB bitcs-6478 81 15 , , PUNCT bitcs-6478 81 16 and and CCONJ bitcs-6478 81 17 each each DET bitcs-6478 81 18 one one NOUN bitcs-6478 81 19 maps map VERB bitcs-6478 81 20 an an DET bitcs-6478 81 21 input input NOUN bitcs-6478 81 22 dataset dataset NOUN bitcs-6478 81 23 that that PRON bitcs-6478 81 24 shows show VERB bitcs-6478 81 25 one one NUM bitcs-6478 81 26 of of ADP bitcs-6478 81 27 its its PRON bitcs-6478 81 28 leaves leave NOUN bitcs-6478 81 29 contains contain VERB bitcs-6478 81 30 a a DET bitcs-6478 81 31 continuous continuous ADJ bitcs-6478 81 32 mark mark NOUN bitcs-6478 81 33 . . PUNCT bitcs-6478 82 1 regularized regularize VERB bitcs-6478 82 2 function function NOUN bitcs-6478 82 3 ( ( PUNCT bitcs-6478 82 4 l1 l1 PROPN bitcs-6478 82 5 & & CCONJ bitcs-6478 82 6 l2 l2 PROPN bitcs-6478 82 7 ) ) PUNCT bitcs-6478 82 8 that that PRON bitcs-6478 82 9 is be AUX bitcs-6478 82 10 minimized minimize VERB bitcs-6478 82 11 is be AUX bitcs-6478 82 12 a a DET bitcs-6478 82 13 convex convex ADJ bitcs-6478 82 14 loss loss NOUN bitcs-6478 82 15 function function NOUN bitcs-6478 82 16 that that PRON bitcs-6478 82 17 is be AUX bitcs-6478 82 18 based base VERB bitcs-6478 82 19 upon upon SCONJ bitcs-6478 82 20 the the DET bitcs-6478 82 21 difference difference NOUN bitcs-6478 82 22 between between ADP bitcs-6478 82 23 the the DET bitcs-6478 82 24 goal goal NOUN bitcs-6478 82 25 output output NOUN bitcs-6478 82 26 and and CCONJ bitcs-6478 82 27 predictions prediction NOUN bitcs-6478 82 28 . . PUNCT bitcs-6478 83 1 in in ADP bitcs-6478 83 2 order order NOUN bitcs-6478 83 3 to to PART bitcs-6478 83 4 predict predict VERB bitcs-6478 83 5 the the DET bitcs-6478 83 6 mistakes mistake NOUN bitcs-6478 83 7 or or CCONJ bitcs-6478 83 8 residues residue NOUN bitcs-6478 83 9 of of ADP bitcs-6478 83 10 earlier early ADJ bitcs-6478 83 11 trees tree NOUN bitcs-6478 83 12 , , PUNCT bitcs-6478 83 13 the the DET bitcs-6478 83 14 training training NOUN bitcs-6478 83 15 iteratively iteratively ADV bitcs-6478 83 16 adds add VERB bitcs-6478 83 17 new new ADJ bitcs-6478 83 18 trees tree NOUN bitcs-6478 83 19 that that PRON bitcs-6478 83 20 are be AUX bitcs-6478 83 21 subsequently subsequently ADV bitcs-6478 83 22 integrated integrate VERB bitcs-6478 83 23 with with ADP bitcs-6478 83 24 the the DET bitcs-6478 83 25 earlier early ADJ bitcs-6478 83 26 trees tree NOUN bitcs-6478 83 27 to to PART bitcs-6478 83 28 provide provide VERB bitcs-6478 83 29 the the DET bitcs-6478 83 30 final final ADJ bitcs-6478 83 31 prediction prediction NOUN bitcs-6478 83 32 [ [ X bitcs-6478 83 33 13 13 NUM bitcs-6478 83 34 ] ] PUNCT bitcs-6478 83 35 . . PUNCT bitcs-6478 84 1 b. b. PROPN bitcs-6478 84 2 performance performance NOUN bitcs-6478 84 3 metric metric ADJ bitcs-6478 84 4 evaluation evaluation NOUN bitcs-6478 84 5 method method NOUN bitcs-6478 84 6 model model NOUN bitcs-6478 84 7 performance performance NOUN bitcs-6478 84 8 is be AUX bitcs-6478 84 9 assessed assess VERB bitcs-6478 84 10 using use VERB bitcs-6478 84 11 the the DET bitcs-6478 84 12 accuracy accuracy NOUN bitcs-6478 84 13 , , PUNCT bitcs-6478 84 14 f1 f1 NOUN bitcs-6478 84 15 - - PUNCT bitcs-6478 84 16 score score NOUN bitcs-6478 84 17 , , PUNCT bitcs-6478 84 18 recall recall NOUN bitcs-6478 84 19 , , PUNCT bitcs-6478 84 20 and and CCONJ bitcs-6478 84 21 precision precision NOUN bitcs-6478 84 22 metrics metric NOUN bitcs-6478 84 23 . . PUNCT bitcs-6478 85 1 eqs eqs PROPN bitcs-6478 85 2 . . PUNCT bitcs-6478 86 1 ( ( PUNCT bitcs-6478 86 2 1 1 X bitcs-6478 86 3 ) ) PUNCT bitcs-6478 86 4 and and CCONJ bitcs-6478 86 5 ( ( PUNCT bitcs-6478 86 6 2 2 X bitcs-6478 86 7 ) ) PUNCT bitcs-6478 86 8 characterize characterize VERB bitcs-6478 86 9 the the DET bitcs-6478 86 10 accuracy accuracy NOUN bitcs-6478 86 11 value value NOUN bitcs-6478 86 12 regarding regard VERB bitcs-6478 86 13 the the DET bitcs-6478 86 14 classification classification NOUN bitcs-6478 86 15 model model NOUN bitcs-6478 86 16 , , PUNCT bitcs-6478 86 17 respectively respectively ADV bitcs-6478 86 18 ; ; PUNCT bitcs-6478 86 19 comparably comparably ADV bitcs-6478 86 20 , , PUNCT bitcs-6478 86 21 eqs eqs X bitcs-6478 86 22 . . PUNCT bitcs-6478 87 1 ( ( PUNCT bitcs-6478 87 2 3 3 X bitcs-6478 87 3 ) ) PUNCT bitcs-6478 87 4 and and CCONJ bitcs-6478 87 5 ( ( PUNCT bitcs-6478 87 6 4 4 X bitcs-6478 87 7 ) ) PUNCT bitcs-6478 87 8 denote denote VERB bitcs-6478 87 9 the the DET bitcs-6478 87 10 mathematical mathematical ADJ bitcs-6478 87 11 formula formula NOUN bitcs-6478 87 12 of of ADP bitcs-6478 87 13 recall recall NOUN bitcs-6478 87 14 and and CCONJ bitcs-6478 87 15 the the DET bitcs-6478 87 16 f1 f1 NOUN bitcs-6478 87 17 - - PUNCT bitcs-6478 87 18 score score NOUN bitcs-6478 87 19 , , PUNCT bitcs-6478 87 20 respectively respectively ADV bitcs-6478 87 21 [ [ X bitcs-6478 87 22 14 14 NUM bitcs-6478 87 23 ] ] PUNCT bitcs-6478 87 24 . . PUNCT bitcs-6478 88 1 accuracy accuracy NOUN bitcs-6478 88 2 = = SYM bitcs-6478 88 3 𝑇𝑃+𝑇𝑁 𝑇𝑃+𝑇𝑁 X bitcs-6478 88 4 𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁 𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁 PUNCT bitcs-6478 88 5 ( ( PUNCT bitcs-6478 88 6 1 1 X bitcs-6478 88 7 ) ) PUNCT bitcs-6478 88 8 precision precision NOUN bitcs-6478 88 9 = = SYM bitcs-6478 88 10 𝑇𝑃 𝑇𝑃 PROPN bitcs-6478 88 11 𝑇𝑃+𝐹𝑃 𝑇𝑃+𝐹𝑃 NUM bitcs-6478 88 12 ( ( PUNCT bitcs-6478 88 13 2 2 NUM bitcs-6478 88 14 ) ) PUNCT bitcs-6478 88 15 recall recall NOUN bitcs-6478 88 16 = = SYM bitcs-6478 88 17 𝑇𝑃 𝑇𝑃 NOUN bitcs-6478 88 18 𝑇𝑃+𝐹𝑁 𝑇𝑃+𝐹𝑁 NOUN bitcs-6478 88 19 ( ( PUNCT bitcs-6478 88 20 3 3 NUM bitcs-6478 88 21 ) ) PUNCT bitcs-6478 88 22 f1 f1 NOUN bitcs-6478 88 23 - - PUNCT bitcs-6478 88 24 score score NOUN bitcs-6478 88 25 = = NOUN bitcs-6478 88 26 2βˆ—(π‘ƒπ‘Ÿπ‘’π‘π‘–π‘ π‘–π‘œπ‘›βˆ—π‘…π‘’π‘π‘Žπ‘™π‘™ 2βˆ—(π‘ƒπ‘Ÿπ‘’π‘π‘–π‘ π‘–π‘œπ‘›βˆ—π‘…π‘’π‘π‘Žπ‘™π‘™ NUM bitcs-6478 88 27 ) ) PUNCT bitcs-6478 88 28 ( ( PUNCT bitcs-6478 88 29 π‘ƒπ‘Ÿπ‘’π‘π‘–π‘ π‘–π‘œπ‘›+π‘…π‘’π‘π‘Žπ‘™π‘™ π‘ƒπ‘Ÿπ‘’π‘π‘–π‘ π‘–π‘œπ‘›+π‘…π‘’π‘π‘Žπ‘™π‘™ PROPN bitcs-6478 88 30 ) ) PUNCT bitcs-6478 88 31 ( ( PUNCT bitcs-6478 88 32 4 4 NUM bitcs-6478 88 33 ) ) SYM bitcs-6478 88 34 4 4 NUM bitcs-6478 88 35 . . PUNCT bitcs-6478 89 1 results result NOUN bitcs-6478 89 2 following follow VERB bitcs-6478 89 3 the the DET bitcs-6478 89 4 algorithms algorithm NOUN bitcs-6478 89 5 described describe VERB bitcs-6478 89 6 in in ADP bitcs-6478 89 7 the the DET bitcs-6478 89 8 preceding precede VERB bitcs-6478 89 9 section section NOUN bitcs-6478 89 10 , , PUNCT bitcs-6478 89 11 the the DET bitcs-6478 89 12 following follow VERB bitcs-6478 89 13 outcomes outcome NOUN bitcs-6478 89 14 were be AUX bitcs-6478 89 15 attained attain VERB bitcs-6478 89 16 : : PUNCT bitcs-6478 89 17 table table NOUN bitcs-6478 89 18 2 2 NUM bitcs-6478 89 19 . . PUNCT bitcs-6478 89 20 performance performance NOUN bitcs-6478 89 21 measure measure NOUN bitcs-6478 89 22 of of ADP bitcs-6478 89 23 xgboost xgboost X bitcs-6478 89 24 classifier classifier PROPN bitcs-6478 89 25 classifier classifier PROPN bitcs-6478 89 26 accuracy accuracy PROPN bitcs-6478 89 27 precision precision NOUN bitcs-6478 89 28 recall recall VERB bitcs-6478 89 29 f1 f1 NOUN bitcs-6478 89 30 - - PUNCT bitcs-6478 89 31 score score NOUN bitcs-6478 89 32 xgboost xgboost ADV bitcs-6478 89 33 98.32 98.32 NUM bitcs-6478 89 34 % % NOUN bitcs-6478 89 35 98 98 NUM bitcs-6478 89 36 % % NOUN bitcs-6478 89 37 97 97 NUM bitcs-6478 89 38 % % NOUN bitcs-6478 89 39 99 99 NUM bitcs-6478 89 40 % % NOUN bitcs-6478 89 41 5 5 NUM bitcs-6478 89 42 . . PUNCT bitcs-6478 89 43 conclusion conclusion NOUN bitcs-6478 89 44 a a DET bitcs-6478 89 45 predictive predictive ADJ bitcs-6478 89 46 model model NOUN bitcs-6478 89 47 for for ADP bitcs-6478 89 48 the the DET bitcs-6478 89 49 likelihood likelihood NOUN bitcs-6478 89 50 of of ADP bitcs-6478 89 51 bc bc PROPN bitcs-6478 89 52 development development PROPN bitcs-6478 89 53 was be AUX bitcs-6478 89 54 reported report VERB bitcs-6478 89 55 in in ADP bitcs-6478 89 56 this this DET bitcs-6478 89 57 paper paper NOUN bitcs-6478 89 58 . . PUNCT bitcs-6478 90 1 the the DET bitcs-6478 90 2 suggested suggest VERB bitcs-6478 90 3 model model NOUN bitcs-6478 90 4 's 's PART bitcs-6478 90 5 study study NOUN bitcs-6478 90 6 and and CCONJ bitcs-6478 90 7 evaluation evaluation NOUN bitcs-6478 90 8 demonstrate demonstrate VERB bitcs-6478 90 9 how how SCONJ bitcs-6478 90 10 effective effective ADJ bitcs-6478 90 11 and and CCONJ bitcs-6478 90 12 simple simple ADJ bitcs-6478 90 13 it it PRON bitcs-6478 90 14 is be AUX bitcs-6478 90 15 to to PART bitcs-6478 90 16 apply apply VERB bitcs-6478 90 17 . . PUNCT bitcs-6478 91 1 for for ADP bitcs-6478 91 2 patients patient NOUN bitcs-6478 91 3 with with ADP bitcs-6478 91 4 classified classified ADJ bitcs-6478 91 5 bc bc PROPN bitcs-6478 91 6 , , PUNCT bitcs-6478 91 7 the the DET bitcs-6478 91 8 xgboost xgboost PROPN bitcs-6478 91 9 algorithm algorithm PROPN bitcs-6478 91 10 is be AUX bitcs-6478 91 11 used use VERB bitcs-6478 91 12 on on ADP bitcs-6478 91 13 the the DET bitcs-6478 91 14 bccd bccd NOUN bitcs-6478 91 15 . . PUNCT bitcs-6478 92 1 with with ADP bitcs-6478 92 2 the the DET bitcs-6478 92 3 use use NOUN bitcs-6478 92 4 of of ADP bitcs-6478 92 5 z z NOUN bitcs-6478 92 6 - - PUNCT bitcs-6478 92 7 score score NOUN bitcs-6478 92 8 outlier outlier NOUN bitcs-6478 92 9 detection detection NOUN bitcs-6478 92 10 method method NOUN bitcs-6478 92 11 , , PUNCT bitcs-6478 92 12 one one PRON bitcs-6478 92 13 can can AUX bitcs-6478 92 14 identify identify VERB bitcs-6478 92 15 outliers outlier NOUN bitcs-6478 92 16 in in ADP bitcs-6478 92 17 a a DET bitcs-6478 92 18 clean clean ADJ bitcs-6478 92 19 dataset dataset NOUN bitcs-6478 92 20 during during ADP bitcs-6478 92 21 data datum NOUN bitcs-6478 92 22 preparation preparation NOUN bitcs-6478 92 23 and and CCONJ bitcs-6478 92 24 apply apply VERB bitcs-6478 92 25 robust robust ADJ bitcs-6478 92 26 scaling scaling NOUN bitcs-6478 92 27 to to PART bitcs-6478 92 28 address address VERB bitcs-6478 92 29 the the DET bitcs-6478 92 30 outliers outlier NOUN bitcs-6478 92 31 . . PUNCT bitcs-6478 93 1 afterward afterward ADV bitcs-6478 93 2 , , PUNCT bitcs-6478 93 3 xgboost xgboost ADV bitcs-6478 93 4 algorithm algorithm PROPN bitcs-6478 93 5 was be AUX bitcs-6478 93 6 used use VERB bitcs-6478 93 7 . . PUNCT bitcs-6478 94 1 based base VERB bitcs-6478 94 2 on on ADP bitcs-6478 94 3 the the DET bitcs-6478 94 4 examination examination NOUN bitcs-6478 94 5 of of ADP bitcs-6478 94 6 test test NOUN bitcs-6478 94 7 outcomes outcome NOUN bitcs-6478 94 8 , , PUNCT bitcs-6478 94 9 the the DET bitcs-6478 94 10 xgboost xgboost PROPN bitcs-6478 94 11 algorithm algorithm PROPN bitcs-6478 94 12 has have AUX bitcs-6478 94 13 attained attain VERB bitcs-6478 94 14 the the DET bitcs-6478 94 15 maximum maximum ADJ bitcs-6478 94 16 accuracy accuracy NOUN bitcs-6478 94 17 of of ADP bitcs-6478 94 18 98.32 98.32 NUM bitcs-6478 94 19 % % NOUN bitcs-6478 94 20 . . PUNCT bitcs-6478 95 1 references reference NOUN bitcs-6478 95 2 [ [ X bitcs-6478 95 3 1 1 X bitcs-6478 95 4 ] ] PUNCT bitcs-6478 95 5 s. s. PROPN bitcs-6478 95 6 aamir aamir PROPN bitcs-6478 95 7 et et PROPN bitcs-6478 95 8 al al PROPN bitcs-6478 95 9 . . PROPN bitcs-6478 95 10 , , PUNCT bitcs-6478 95 11 β€œ " PUNCT bitcs-6478 95 12 predicting predict VERB bitcs-6478 95 13 breast breast NOUN bitcs-6478 95 14 cancer cancer NOUN bitcs-6478 95 15 leveraging leverage VERB bitcs-6478 95 16 supervised supervise VERB bitcs-6478 95 17 machine machine NOUN bitcs-6478 95 18 learning learning NOUN bitcs-6478 95 19 techniques technique NOUN bitcs-6478 95 20 , , PUNCT bitcs-6478 95 21 ” " PUNCT bitcs-6478 95 22 comput comput NOUN bitcs-6478 95 23 . . PUNCT bitcs-6478 96 1 math math NOUN bitcs-6478 96 2 . . PUNCT bitcs-6478 97 1 methods method NOUN bitcs-6478 97 2 med me VERB bitcs-6478 97 3 . . PROPN bitcs-6478 97 4 , , PUNCT bitcs-6478 97 5 vol vol NOUN bitcs-6478 97 6 . . NOUN bitcs-6478 97 7 2022 2022 NUM bitcs-6478 97 8 , , PUNCT bitcs-6478 97 9 2022 2022 NUM bitcs-6478 97 10 , , PUNCT bitcs-6478 97 11 doi doi NOUN bitcs-6478 97 12 : : PUNCT bitcs-6478 97 13 10.1155/2022/5869529 10.1155/2022/5869529 NUM bitcs-6478 97 14 . . PUNCT bitcs-6478 98 1 [ [ X bitcs-6478 98 2 2 2 NUM bitcs-6478 98 3 ] ] PUNCT bitcs-6478 98 4 r. r. PROPN bitcs-6478 98 5 gonzales gonzales PROPN bitcs-6478 98 6 martinez martinez PROPN bitcs-6478 98 7 and and CCONJ bitcs-6478 98 8 d. d. PROPN bitcs-6478 98 9 m. m. PROPN bitcs-6478 98 10 van van PROPN bitcs-6478 98 11 dongen dongen PROPN bitcs-6478 98 12 , , PUNCT bitcs-6478 98 13 β€œ " PUNCT bitcs-6478 98 14 deep deep ADJ bitcs-6478 98 15 learning learning NOUN bitcs-6478 98 16 algorithms algorithm NOUN bitcs-6478 98 17 for for ADP bitcs-6478 98 18 the the DET bitcs-6478 98 19 early early ADJ bitcs-6478 98 20 detection detection NOUN bitcs-6478 98 21 of of ADP bitcs-6478 98 22 breast breast NOUN bitcs-6478 98 23 cancer cancer NOUN bitcs-6478 98 24 : : PUNCT bitcs-6478 98 25 a a DET bitcs-6478 98 26 comparative comparative ADJ bitcs-6478 98 27 study study NOUN bitcs-6478 98 28 with with ADP bitcs-6478 98 29 traditional traditional ADJ bitcs-6478 98 30 machine machine NOUN bitcs-6478 98 31 learning learning NOUN bitcs-6478 98 32 , , PUNCT bitcs-6478 98 33 ” " PUNCT bitcs-6478 98 34 informatics informatic NOUN bitcs-6478 98 35 med me VERB bitcs-6478 98 36 . . PUNCT bitcs-6478 99 1 unlocked unlock VERB bitcs-6478 99 2 , , PUNCT bitcs-6478 99 3 vol vol NOUN bitcs-6478 99 4 . . PROPN bitcs-6478 99 5 41 41 NUM bitcs-6478 99 6 , , PUNCT bitcs-6478 99 7 no no INTJ bitcs-6478 99 8 . . PUNCT bitcs-6478 99 9 april april PROPN bitcs-6478 99 10 , , PUNCT bitcs-6478 99 11 p. p. NOUN bitcs-6478 99 12 101317 101317 NUM bitcs-6478 99 13 , , PUNCT bitcs-6478 99 14 2023 2023 NUM bitcs-6478 99 15 , , PUNCT bitcs-6478 99 16 doi doi NOUN bitcs-6478 99 17 : : PUNCT bitcs-6478 99 18 10.1016 10.1016 NUM bitcs-6478 99 19 / / SYM bitcs-6478 99 20 j.imu.2023.101317 j.imu.2023.101317 NOUN bitcs-6478 99 21 . . PUNCT bitcs-6478 100 1 [ [ X bitcs-6478 100 2 3 3 X bitcs-6478 100 3 ] ] X bitcs-6478 100 4 y. y. PROPN bitcs-6478 100 5 amethiya amethiya PROPN bitcs-6478 100 6 , , PUNCT bitcs-6478 100 7 p. p. PROPN bitcs-6478 100 8 pipariya pipariya PROPN bitcs-6478 100 9 , , PUNCT bitcs-6478 100 10 s. s. PROPN bitcs-6478 100 11 patel patel PROPN bitcs-6478 100 12 , , PUNCT bitcs-6478 100 13 and and CCONJ bitcs-6478 100 14 m. m. NOUN bitcs-6478 100 15 shah shah NOUN bitcs-6478 100 16 , , PUNCT bitcs-6478 100 17 β€œ " PUNCT bitcs-6478 100 18 comparative comparative ADJ bitcs-6478 100 19 analysis analysis NOUN bitcs-6478 100 20 of of ADP bitcs-6478 100 21 breast breast NOUN bitcs-6478 100 22 cancer cancer NOUN bitcs-6478 100 23 vol vol NOUN bitcs-6478 100 24 . . PROPN bitcs-6478 101 1 5 5 NUM bitcs-6478 101 2 , , PUNCT bitcs-6478 101 3 no.2 no.2 PROPN bitcs-6478 101 4 june june PROPN bitcs-6478 101 5 2024 2024 NUM bitcs-6478 101 6 | | ADV bitcs-6478 101 7 89 89 NUM bitcs-6478 101 8 detection detection NOUN bitcs-6478 101 9 using use VERB bitcs-6478 101 10 machine machine NOUN bitcs-6478 101 11 learning learning NOUN bitcs-6478 101 12 and and CCONJ bitcs-6478 101 13 biosensors biosensor NOUN bitcs-6478 101 14 , , PUNCT bitcs-6478 101 15 ” " PUNCT bitcs-6478 101 16 intell intell PROPN bitcs-6478 101 17 . . PUNCT bitcs-6478 102 1 med med PROPN bitcs-6478 102 2 . . PROPN bitcs-6478 102 3 , , PUNCT bitcs-6478 102 4 vol vol NOUN bitcs-6478 102 5 . . PROPN bitcs-6478 103 1 2 2 NUM bitcs-6478 103 2 , , PUNCT bitcs-6478 103 3 no no INTJ bitcs-6478 103 4 . . NOUN bitcs-6478 103 5 2 2 NUM bitcs-6478 103 6 , , PUNCT bitcs-6478 103 7 pp pp ADJ bitcs-6478 103 8 . . PUNCT bitcs-6478 104 1 69–81 69–81 NUM bitcs-6478 104 2 , , PUNCT bitcs-6478 104 3 2022 2022 NUM bitcs-6478 104 4 , , PUNCT bitcs-6478 104 5 doi doi NOUN bitcs-6478 104 6 : : PUNCT bitcs-6478 104 7 10.1016 10.1016 NUM bitcs-6478 104 8 / / SYM bitcs-6478 104 9 j.imed.2021.08.004 j.imed.2021.08.004 PROPN bitcs-6478 104 10 . . PUNCT bitcs-6478 105 1 [ [ X bitcs-6478 105 2 4 4 X bitcs-6478 105 3 ] ] X bitcs-6478 105 4 g. g. PROPN bitcs-6478 105 5 alfian alfian PROPN bitcs-6478 105 6 et et PROPN bitcs-6478 105 7 al al PROPN bitcs-6478 105 8 . . PROPN bitcs-6478 105 9 , , PUNCT bitcs-6478 105 10 β€œ " PUNCT bitcs-6478 105 11 predicting predict VERB bitcs-6478 105 12 breast breast NOUN bitcs-6478 105 13 cancer cancer NOUN bitcs-6478 105 14 from from ADP bitcs-6478 105 15 risk risk NOUN bitcs-6478 105 16 factors factor NOUN bitcs-6478 105 17 using use VERB bitcs-6478 105 18 svm svm NOUN bitcs-6478 105 19 and and CCONJ bitcs-6478 105 20 extra extra ADJ bitcs-6478 105 21 - - ADJ bitcs-6478 105 22 treesbased treesbase VERB bitcs-6478 105 23 feature feature NOUN bitcs-6478 105 24 selection selection NOUN bitcs-6478 105 25 method method NOUN bitcs-6478 105 26 , , PUNCT bitcs-6478 105 27 ” " PUNCT bitcs-6478 105 28 computers computer NOUN bitcs-6478 105 29 , , PUNCT bitcs-6478 105 30 vol vol NOUN bitcs-6478 105 31 . . PROPN bitcs-6478 105 32 11 11 NUM bitcs-6478 105 33 , , PUNCT bitcs-6478 105 34 no no INTJ bitcs-6478 105 35 . . NOUN bitcs-6478 105 36 9 9 NUM bitcs-6478 105 37 , , PUNCT bitcs-6478 105 38 2022 2022 NUM bitcs-6478 105 39 , , PUNCT bitcs-6478 105 40 doi doi NOUN bitcs-6478 105 41 : : PUNCT bitcs-6478 105 42 10.3390 10.3390 NUM bitcs-6478 105 43 / / SYM bitcs-6478 105 44 computers11090136 computers11090136 NOUN bitcs-6478 105 45 . . PUNCT bitcs-6478 106 1 [ [ X bitcs-6478 106 2 5 5 NUM bitcs-6478 106 3 ] ] PUNCT bitcs-6478 106 4 a. a. PROPN bitcs-6478 106 5 sami sami PROPN bitcs-6478 106 6 jaddoa jaddoa PROPN bitcs-6478 106 7 , , PUNCT bitcs-6478 106 8 s. s. PROPN bitcs-6478 106 9 j. j. PROPN bitcs-6478 106 10 saba saba PROPN bitcs-6478 106 11 , , PUNCT bitcs-6478 106 12 and and CCONJ bitcs-6478 106 13 e. e. PROPN bitcs-6478 106 14 a.abd a.abd PROPN bitcs-6478 106 15 al al PROPN bitcs-6478 106 16 - - PUNCT bitcs-6478 106 17 kareem kareem PROPN bitcs-6478 106 18 , , PUNCT bitcs-6478 106 19 β€œ " PUNCT bitcs-6478 106 20 liver liver NOUN bitcs-6478 106 21 disease disease NOUN bitcs-6478 106 22 prediction prediction NOUN bitcs-6478 106 23 model model NOUN bitcs-6478 106 24 based base VERB bitcs-6478 106 25 on on ADP bitcs-6478 106 26 oversampling oversample VERB bitcs-6478 106 27 dataset dataset NOUN bitcs-6478 106 28 with with ADP bitcs-6478 106 29 rfe rfe NOUN bitcs-6478 106 30 feature feature NOUN bitcs-6478 106 31 selection selection NOUN bitcs-6478 106 32 using use VERB bitcs-6478 106 33 ann ann PROPN bitcs-6478 106 34 and and CCONJ bitcs-6478 106 35 adaboost adaboost ADJ bitcs-6478 106 36 algorithms algorithm NOUN bitcs-6478 106 37 , , PUNCT bitcs-6478 106 38 ” " PUNCT bitcs-6478 106 39 buana buana PROPN bitcs-6478 106 40 information information PROPN bitcs-6478 106 41 technology technology PROPN bitcs-6478 106 42 and and CCONJ bitcs-6478 106 43 computer computer NOUN bitcs-6478 106 44 sciences science NOUN bitcs-6478 106 45 ( ( PUNCT bitcs-6478 106 46 bit bit NOUN bitcs-6478 106 47 and and CCONJ bitcs-6478 106 48 cs cs NOUN bitcs-6478 106 49 ) ) PUNCT bitcs-6478 106 50 , , PUNCT bitcs-6478 106 51 vol vol NOUN bitcs-6478 106 52 . . PROPN bitcs-6478 106 53 4 4 NUM bitcs-6478 106 54 , , PUNCT bitcs-6478 106 55 no no INTJ bitcs-6478 106 56 . . NOUN bitcs-6478 106 57 2 2 X bitcs-6478 106 58 . . X bitcs-6478 107 1 pp pp ADJ bitcs-6478 107 2 . . PUNCT bitcs-6478 108 1 85–93 85–93 NUM bitcs-6478 108 2 , , PUNCT bitcs-6478 108 3 2023 2023 NUM bitcs-6478 108 4 , , PUNCT bitcs-6478 108 5 doi doi NOUN bitcs-6478 108 6 : : PUNCT bitcs-6478 108 7 10.36805 10.36805 NUM bitcs-6478 108 8 / / SYM bitcs-6478 108 9 bit bit NOUN bitcs-6478 108 10 - - PUNCT bitcs-6478 108 11 cs.v4i2.5565 cs.v4i2.5565 NOUN bitcs-6478 108 12 . . PUNCT bitcs-6478 109 1 [ [ X bitcs-6478 109 2 6 6 NUM bitcs-6478 109 3 ] ] X bitcs-6478 109 4 c. c. PROPN bitcs-6478 109 5 li li PROPN bitcs-6478 109 6 , , PUNCT bitcs-6478 109 7 y. y. PROPN bitcs-6478 109 8 weng weng PROPN bitcs-6478 109 9 , , PUNCT bitcs-6478 109 10 y. y. PROPN bitcs-6478 109 11 zhang zhang PROPN bitcs-6478 109 12 , , PUNCT bitcs-6478 109 13 and and CCONJ bitcs-6478 109 14 b. b. PROPN bitcs-6478 109 15 wang wang PROPN bitcs-6478 109 16 , , PUNCT bitcs-6478 109 17 β€œ " PUNCT bitcs-6478 109 18 a a DET bitcs-6478 109 19 systematic systematic ADJ bitcs-6478 109 20 review review NOUN bitcs-6478 109 21 of of ADP bitcs-6478 109 22 application application NOUN bitcs-6478 109 23 progress progress NOUN bitcs-6478 109 24 on on ADP bitcs-6478 109 25 machine machine NOUN bitcs-6478 109 26 learning learning NOUN bitcs-6478 109 27 - - PUNCT bitcs-6478 109 28 based base VERB bitcs-6478 109 29 natural natural ADJ bitcs-6478 109 30 language language NOUN bitcs-6478 109 31 processing processing NOUN bitcs-6478 109 32 in in ADP bitcs-6478 109 33 breast breast NOUN bitcs-6478 109 34 cancer cancer NOUN bitcs-6478 109 35 over over ADP bitcs-6478 109 36 the the DET bitcs-6478 109 37 past past ADJ bitcs-6478 109 38 5 5 NUM bitcs-6478 109 39 years year NOUN bitcs-6478 109 40 , , PUNCT bitcs-6478 109 41 ” " PUNCT bitcs-6478 109 42 diagnostics diagnostic NOUN bitcs-6478 109 43 , , PUNCT bitcs-6478 109 44 vol vol NOUN bitcs-6478 109 45 . . PROPN bitcs-6478 109 46 13 13 NUM bitcs-6478 109 47 , , PUNCT bitcs-6478 109 48 no no INTJ bitcs-6478 109 49 . . NOUN bitcs-6478 109 50 3 3 NUM bitcs-6478 109 51 , , PUNCT bitcs-6478 109 52 2023 2023 NUM bitcs-6478 109 53 , , PUNCT bitcs-6478 109 54 doi doi NOUN bitcs-6478 109 55 : : PUNCT bitcs-6478 109 56 10.3390 10.3390 NUM bitcs-6478 109 57 / / SYM bitcs-6478 109 58 diagnostics13030537 diagnostics13030537 PROPN bitcs-6478 109 59 . . PUNCT bitcs-6478 110 1 [ [ X bitcs-6478 110 2 7 7 X bitcs-6478 110 3 ] ] X bitcs-6478 110 4 ahmed ahmed PROPN bitcs-6478 110 5 sami sami PROPN bitcs-6478 110 6 jaddoa jaddoa PROPN bitcs-6478 110 7 , , PUNCT bitcs-6478 110 8 β€œ " PUNCT bitcs-6478 110 9 heart heart NOUN bitcs-6478 110 10 disease disease NOUN bitcs-6478 110 11 prediction prediction NOUN bitcs-6478 110 12 system system NOUN bitcs-6478 110 13 using use VERB bitcs-6478 110 14 ( ( PUNCT bitcs-6478 110 15 smote smote ADJ bitcs-6478 110 16 technique technique NOUN bitcs-6478 110 17 ) ) PUNCT bitcs-6478 110 18 , , PUNCT bitcs-6478 110 19 ” " PUNCT bitcs-6478 110 20 vol vol NOUN bitcs-6478 110 21 . . PROPN bitcs-6478 110 22 050006 050006 NUM bitcs-6478 110 23 , , PUNCT bitcs-6478 110 24 2023 2023 NUM bitcs-6478 110 25 . . PUNCT bitcs-6478 111 1 [ [ X bitcs-6478 111 2 8 8 NUM bitcs-6478 111 3 ] ] PUNCT bitcs-6478 111 4 s. s. PROPN bitcs-6478 111 5 b. b. PROPN bitcs-6478 111 6 sakri sakri PROPN bitcs-6478 111 7 , , PUNCT bitcs-6478 111 8 n. n. PROPN bitcs-6478 111 9 b. b. PROPN bitcs-6478 111 10 abdul abdul PROPN bitcs-6478 111 11 rashid rashid PROPN bitcs-6478 111 12 , , PUNCT bitcs-6478 111 13 and and CCONJ bitcs-6478 111 14 z. z. PROPN bitcs-6478 111 15 muhammad muhammad PROPN bitcs-6478 111 16 zain zain PROPN bitcs-6478 111 17 , , PUNCT bitcs-6478 111 18 β€œ " PUNCT bitcs-6478 111 19 particle particle NOUN bitcs-6478 111 20 swarm swarm NOUN bitcs-6478 111 21 optimization optimization NOUN bitcs-6478 111 22 feature feature NOUN bitcs-6478 111 23 selection selection NOUN bitcs-6478 111 24 for for ADP bitcs-6478 111 25 breast breast NOUN bitcs-6478 111 26 cancer cancer NOUN bitcs-6478 111 27 recurrence recurrence NOUN bitcs-6478 111 28 prediction prediction NOUN bitcs-6478 111 29 , , PUNCT bitcs-6478 111 30 ” " PUNCT bitcs-6478 111 31 ieee ieee NOUN bitcs-6478 111 32 access access NOUN bitcs-6478 111 33 , , PUNCT bitcs-6478 111 34 vol vol NOUN bitcs-6478 111 35 . . PROPN bitcs-6478 111 36 6 6 NUM bitcs-6478 111 37 , , PUNCT bitcs-6478 111 38 pp pp ADJ bitcs-6478 111 39 . . PUNCT bitcs-6478 112 1 29637–29647 29637–29647 NUM bitcs-6478 112 2 , , PUNCT bitcs-6478 112 3 2018 2018 NUM bitcs-6478 112 4 , , PUNCT bitcs-6478 112 5 doi doi NOUN bitcs-6478 112 6 : : PUNCT bitcs-6478 112 7 10.1109 10.1109 NUM bitcs-6478 112 8 / / SYM bitcs-6478 112 9 access.2018.2843443 access.2018.2843443 NOUN bitcs-6478 112 10 . . PUNCT bitcs-6478 113 1 [ [ X bitcs-6478 113 2 9 9 NUM bitcs-6478 113 3 ] ] PUNCT bitcs-6478 113 4 m. m. NOUN bitcs-6478 113 5 kaya kaya PROPN bitcs-6478 113 6 keleş keleş PROPN bitcs-6478 113 7 , , PUNCT bitcs-6478 113 8 β€œ " PUNCT bitcs-6478 113 9 breast breast NOUN bitcs-6478 113 10 cancer cancer NOUN bitcs-6478 113 11 prediction prediction NOUN bitcs-6478 113 12 and and CCONJ bitcs-6478 113 13 detection detection NOUN bitcs-6478 113 14 using use VERB bitcs-6478 113 15 data datum NOUN bitcs-6478 113 16 mining mining NOUN bitcs-6478 113 17 classification classification NOUN bitcs-6478 113 18 algorithms algorithm NOUN bitcs-6478 113 19 : : PUNCT bitcs-6478 113 20 a a DET bitcs-6478 113 21 comparative comparative ADJ bitcs-6478 113 22 study study NOUN bitcs-6478 113 23 , , PUNCT bitcs-6478 113 24 ” " PUNCT bitcs-6478 113 25 teh teh NOUN bitcs-6478 113 26 . . PUNCT bitcs-6478 114 1 vjesn vjesn PROPN bitcs-6478 114 2 . . PUNCT bitcs-6478 115 1 , , PUNCT bitcs-6478 115 2 vol vol NOUN bitcs-6478 115 3 . . PROPN bitcs-6478 116 1 26 26 NUM bitcs-6478 116 2 , , PUNCT bitcs-6478 116 3 no no INTJ bitcs-6478 116 4 . . NOUN bitcs-6478 116 5 1 1 NUM bitcs-6478 116 6 , , PUNCT bitcs-6478 116 7 pp pp ADJ bitcs-6478 116 8 . . PUNCT bitcs-6478 117 1 149–155 149–155 NUM bitcs-6478 117 2 , , PUNCT bitcs-6478 117 3 2019 2019 NUM bitcs-6478 117 4 , , PUNCT bitcs-6478 117 5 doi doi NOUN bitcs-6478 117 6 : : PUNCT bitcs-6478 117 7 10.17559 10.17559 NUM bitcs-6478 117 8 / / SYM bitcs-6478 117 9 tv-20180417102943 tv-20180417102943 NUM bitcs-6478 117 10 . . PUNCT bitcs-6478 118 1 [ [ X bitcs-6478 118 2 10 10 NUM bitcs-6478 118 3 ] ] X bitcs-6478 118 4 p. p. NOUN bitcs-6478 118 5 ferroni ferroni PROPN bitcs-6478 118 6 , , PUNCT bitcs-6478 118 7 f. f. PROPN bitcs-6478 118 8 m. m. PROPN bitcs-6478 118 9 zanzotto zanzotto PROPN bitcs-6478 118 10 , , PUNCT bitcs-6478 118 11 s. s. PROPN bitcs-6478 118 12 riondino riondino PROPN bitcs-6478 118 13 , , PUNCT bitcs-6478 118 14 n. n. PROPN bitcs-6478 118 15 scarpato scarpato PROPN bitcs-6478 118 16 , , PUNCT bitcs-6478 118 17 f. f. PROPN bitcs-6478 118 18 guadagni guadagni PROPN bitcs-6478 118 19 , , PUNCT bitcs-6478 118 20 and and CCONJ bitcs-6478 118 21 m. m. NOUN bitcs-6478 118 22 roselli roselli PROPN bitcs-6478 118 23 , , PUNCT bitcs-6478 118 24 β€œ " PUNCT bitcs-6478 118 25 breast breast NOUN bitcs-6478 118 26 cancer cancer NOUN bitcs-6478 118 27 prognosis prognosis NOUN bitcs-6478 118 28 using use VERB bitcs-6478 118 29 a a DET bitcs-6478 118 30 machine machine NOUN bitcs-6478 118 31 learning learning NOUN bitcs-6478 118 32 approach approach NOUN bitcs-6478 118 33 , , PUNCT bitcs-6478 118 34 ” " PUNCT bitcs-6478 118 35 cancers cancer NOUN bitcs-6478 118 36 ( ( PUNCT bitcs-6478 118 37 basel basel PROPN bitcs-6478 118 38 ) ) PUNCT bitcs-6478 118 39 . . PUNCT bitcs-6478 118 40 , , PUNCT bitcs-6478 118 41 vol vol NOUN bitcs-6478 118 42 . . PROPN bitcs-6478 118 43 11 11 NUM bitcs-6478 118 44 , , PUNCT bitcs-6478 118 45 no no INTJ bitcs-6478 118 46 . . NOUN bitcs-6478 118 47 3 3 NUM bitcs-6478 118 48 , , PUNCT bitcs-6478 118 49 pp pp ADJ bitcs-6478 118 50 . . PUNCT bitcs-6478 119 1 1–9 1–9 NUM bitcs-6478 119 2 , , PUNCT bitcs-6478 119 3 2019 2019 NUM bitcs-6478 119 4 , , PUNCT bitcs-6478 119 5 doi doi NOUN bitcs-6478 119 6 : : PUNCT bitcs-6478 119 7 10.3390 10.3390 NUM bitcs-6478 119 8 / / SYM bitcs-6478 119 9 cancers11030328 cancers11030328 PROPN bitcs-6478 119 10 . . PUNCT bitcs-6478 120 1 [ [ X bitcs-6478 120 2 11 11 NUM bitcs-6478 120 3 ] ] PUNCT bitcs-6478 120 4 s. s. PROPN bitcs-6478 120 5 b. b. PROPN bitcs-6478 120 6 akben akben PROPN bitcs-6478 120 7 , , PUNCT bitcs-6478 120 8 β€œ " PUNCT bitcs-6478 120 9 determination determination NOUN bitcs-6478 120 10 of of ADP bitcs-6478 120 11 the the DET bitcs-6478 120 12 blood blood NOUN bitcs-6478 120 13 , , PUNCT bitcs-6478 120 14 hormone hormone NOUN bitcs-6478 120 15 and and CCONJ bitcs-6478 120 16 obesity obesity NOUN bitcs-6478 120 17 value value NOUN bitcs-6478 120 18 ranges range VERB bitcs-6478 120 19 that that PRON bitcs-6478 120 20 indicate indicate VERB bitcs-6478 120 21 the the DET bitcs-6478 120 22 breast breast NOUN bitcs-6478 120 23 cancer cancer NOUN bitcs-6478 120 24 , , PUNCT bitcs-6478 120 25 using use VERB bitcs-6478 120 26 data data NOUN bitcs-6478 120 27 mining mining NOUN bitcs-6478 120 28 based base VERB bitcs-6478 120 29 expert expert NOUN bitcs-6478 120 30 system system NOUN bitcs-6478 120 31 , , PUNCT bitcs-6478 120 32 ” " PUNCT bitcs-6478 120 33 irbm irbm NOUN bitcs-6478 120 34 , , PUNCT bitcs-6478 120 35 vol vol NOUN bitcs-6478 120 36 . . PROPN bitcs-6478 120 37 40 40 NUM bitcs-6478 120 38 , , PUNCT bitcs-6478 120 39 no no INTJ bitcs-6478 120 40 . . NOUN bitcs-6478 120 41 6 6 NUM bitcs-6478 120 42 , , PUNCT bitcs-6478 120 43 pp pp ADJ bitcs-6478 120 44 . . PUNCT bitcs-6478 121 1 355–360 355–360 NUM bitcs-6478 121 2 , , PUNCT bitcs-6478 121 3 2019 2019 NUM bitcs-6478 121 4 , , PUNCT bitcs-6478 121 5 doi doi NOUN bitcs-6478 121 6 : : PUNCT bitcs-6478 121 7 10.1016 10.1016 NUM bitcs-6478 121 8 / / SYM bitcs-6478 121 9 j.irbm.2019.05.007 j.irbm.2019.05.007 NOUN bitcs-6478 121 10 . . PUNCT bitcs-6478 122 1 [ [ X bitcs-6478 122 2 12 12 NUM bitcs-6478 122 3 ] ] X bitcs-6478 122 4 s. s. PROPN bitcs-6478 122 5 nanglia nanglia PROPN bitcs-6478 122 6 , , PUNCT bitcs-6478 122 7 m. m. NOUN bitcs-6478 122 8 ahmad ahmad PROPN bitcs-6478 122 9 , , PUNCT bitcs-6478 122 10 f. f. PROPN bitcs-6478 122 11 ali ali PROPN bitcs-6478 122 12 khan khan PROPN bitcs-6478 122 13 , , PUNCT bitcs-6478 122 14 and and CCONJ bitcs-6478 122 15 n. n. PROPN bitcs-6478 122 16 z. z. PROPN bitcs-6478 122 17 jhanjhi jhanjhi PROPN bitcs-6478 122 18 , , PUNCT bitcs-6478 122 19 β€œ " PUNCT bitcs-6478 122 20 an an DET bitcs-6478 122 21 enhanced enhanced ADJ bitcs-6478 122 22 predictive predictive ADJ bitcs-6478 122 23 heterogeneous heterogeneous ADJ bitcs-6478 122 24 ensemble ensemble ADJ bitcs-6478 122 25 model model NOUN bitcs-6478 122 26 for for ADP bitcs-6478 122 27 breast breast NOUN bitcs-6478 122 28 cancer cancer NOUN bitcs-6478 122 29 prediction prediction NOUN bitcs-6478 122 30 , , PUNCT bitcs-6478 122 31 ” " PUNCT bitcs-6478 122 32 biomed biome VERB bitcs-6478 122 33 . . PUNCT bitcs-6478 123 1 signal signal ADJ bitcs-6478 123 2 process process NOUN bitcs-6478 123 3 . . PUNCT bitcs-6478 124 1 control control NOUN bitcs-6478 124 2 , , PUNCT bitcs-6478 124 3 vol vol NOUN bitcs-6478 124 4 . . PROPN bitcs-6478 124 5 72 72 NUM bitcs-6478 124 6 , , PUNCT bitcs-6478 124 7 no no INTJ bitcs-6478 124 8 . . PUNCT bitcs-6478 125 1 july july PROPN bitcs-6478 125 2 2021 2021 NUM bitcs-6478 125 3 , , PUNCT bitcs-6478 125 4 p. p. NOUN bitcs-6478 125 5 103279 103279 NUM bitcs-6478 125 6 , , PUNCT bitcs-6478 125 7 2022 2022 NUM bitcs-6478 125 8 , , PUNCT bitcs-6478 125 9 doi doi NOUN bitcs-6478 125 10 : : PUNCT bitcs-6478 125 11 10.1016 10.1016 NUM bitcs-6478 125 12 / / SYM bitcs-6478 125 13 j.bspc.2021.103279 j.bspc.2021.103279 NOUN bitcs-6478 125 14 . . PUNCT bitcs-6478 126 1 [ [ X bitcs-6478 126 2 13 13 NUM bitcs-6478 126 3 ] ] PUNCT bitcs-6478 126 4 m. m. NOUN bitcs-6478 126 5 m. m. NOUN bitcs-6478 126 6 hassan hassan PROPN bitcs-6478 126 7 et et PROPN bitcs-6478 126 8 al al PROPN bitcs-6478 126 9 . . PROPN bitcs-6478 126 10 , , PUNCT bitcs-6478 126 11 β€œ " PUNCT bitcs-6478 126 12 a a DET bitcs-6478 126 13 comparative comparative ADJ bitcs-6478 126 14 assessment assessment NOUN bitcs-6478 126 15 of of ADP bitcs-6478 126 16 machine machine NOUN bitcs-6478 126 17 learning learn VERB bitcs-6478 126 18 algorithms algorithm NOUN bitcs-6478 126 19 with with ADP bitcs-6478 126 20 the the DET bitcs-6478 126 21 least least ADJ bitcs-6478 126 22 absolute absolute ADJ bitcs-6478 126 23 shrinkage shrinkage NOUN bitcs-6478 126 24 and and CCONJ bitcs-6478 126 25 selection selection NOUN bitcs-6478 126 26 operator operator NOUN bitcs-6478 126 27 for for ADP bitcs-6478 126 28 breast breast NOUN bitcs-6478 126 29 cancer cancer NOUN bitcs-6478 126 30 detection detection NOUN bitcs-6478 126 31 and and CCONJ bitcs-6478 126 32 prediction prediction NOUN bitcs-6478 126 33 , , PUNCT bitcs-6478 126 34 ” " PUNCT bitcs-6478 126 35 decis decis PROPN bitcs-6478 126 36 . . PROPN bitcs-6478 126 37 anal anal PROPN bitcs-6478 126 38 . . PUNCT bitcs-6478 127 1 j. j. PROPN bitcs-6478 127 2 , , PUNCT bitcs-6478 127 3 vol vol NOUN bitcs-6478 127 4 . . PROPN bitcs-6478 127 5 7 7 NUM bitcs-6478 127 6 , , PUNCT bitcs-6478 127 7 no no INTJ bitcs-6478 127 8 . . PUNCT bitcs-6478 128 1 may may AUX bitcs-6478 128 2 , , PUNCT bitcs-6478 128 3 p. p. NOUN bitcs-6478 128 4 100245 100245 NUM bitcs-6478 128 5 , , PUNCT bitcs-6478 128 6 2023 2023 NUM bitcs-6478 128 7 , , PUNCT bitcs-6478 128 8 doi doi NOUN bitcs-6478 128 9 : : PUNCT bitcs-6478 128 10 10.1016 10.1016 NUM bitcs-6478 128 11 / / SYM bitcs-6478 128 12 j.dajour.2023.100245 j.dajour.2023.100245 PROPN bitcs-6478 128 13 . . PUNCT bitcs-6478 129 1 [ [ X bitcs-6478 129 2 14 14 NUM bitcs-6478 129 3 ] ] PUNCT bitcs-6478 129 4 z. z. PROPN bitcs-6478 129 5 salod salod PROPN bitcs-6478 129 6 and and CCONJ bitcs-6478 129 7 y. y. PROPN bitcs-6478 129 8 singh singh PROPN bitcs-6478 129 9 , , PUNCT bitcs-6478 129 10 β€œ " PUNCT bitcs-6478 129 11 comparison comparison NOUN bitcs-6478 129 12 of of ADP bitcs-6478 129 13 the the DET bitcs-6478 129 14 performance performance NOUN bitcs-6478 129 15 of of ADP bitcs-6478 129 16 machine machine NOUN bitcs-6478 129 17 learning learn VERB bitcs-6478 129 18 algorithms algorithm NOUN bitcs-6478 129 19 in in ADP bitcs-6478 129 20 breast breast NOUN bitcs-6478 129 21 cancer cancer NOUN bitcs-6478 129 22 screening screening NOUN bitcs-6478 129 23 and and CCONJ bitcs-6478 129 24 detection detection NOUN bitcs-6478 129 25 : : PUNCT bitcs-6478 129 26 a a DET bitcs-6478 129 27 protocol protocol NOUN bitcs-6478 129 28 , , PUNCT bitcs-6478 129 29 ” " PUNCT bitcs-6478 129 30 j. j. PROPN bitcs-6478 129 31 public public PROPN bitcs-6478 129 32 health health NOUN bitcs-6478 129 33 res re NOUN bitcs-6478 129 34 . . PUNCT bitcs-6478 129 35 , , PUNCT bitcs-6478 129 36 vol vol NOUN bitcs-6478 129 37 . . PROPN bitcs-6478 129 38 8 8 NUM bitcs-6478 129 39 , , PUNCT bitcs-6478 129 40 no no INTJ bitcs-6478 129 41 . . NOUN bitcs-6478 129 42 3 3 NUM bitcs-6478 129 43 , , PUNCT bitcs-6478 129 44 pp pp ADJ bitcs-6478 129 45 . . PUNCT bitcs-6478 130 1 112–118 112–118 NUM bitcs-6478 130 2 , , PUNCT bitcs-6478 130 3 2019 2019 NUM bitcs-6478 130 4 , , PUNCT bitcs-6478 130 5 doi doi NOUN bitcs-6478 130 6 : : PUNCT bitcs-6478 130 7 10.4081 10.4081 NUM bitcs-6478 130 8 / / SYM bitcs-6478 130 9 jphr.2019.1677 jphr.2019.1677 NOUN bitcs-6478 130 10 . . PUNCT