id sid tid token lemma pos cana-1477 1 1 foreword foreword NOUN cana-1477 1 2 communications communication NOUN cana-1477 1 3 on on ADP cana-1477 1 4 applied apply VERB cana-1477 1 5 nonlinear nonlinear ADJ cana-1477 1 6 analysis analysis NOUN cana-1477 1 7 issn issn NOUN cana-1477 1 8 : : PUNCT cana-1477 1 9 1074 1074 NUM cana-1477 1 10 - - PUNCT cana-1477 1 11 133x 133x NUM cana-1477 1 12 vol vol NOUN cana-1477 1 13 31 31 NUM cana-1477 1 14 no no NOUN cana-1477 1 15 . . PUNCT cana-1477 2 1 8s 8s PROPN cana-1477 2 2 ( ( PUNCT cana-1477 2 3 2024 2024 NUM cana-1477 2 4 ) ) PUNCT cana-1477 2 5 237 237 NUM cana-1477 2 6 https://internationalpubls.com https://internationalpubls.com NUM cana-1477 2 7 enhanced enhance VERB cana-1477 2 8 svm svm ADJ cana-1477 2 9 classification classification NOUN cana-1477 2 10 for for ADP cana-1477 2 11 diabetes diabetes NOUN cana-1477 2 12 prediction prediction NOUN cana-1477 2 13 : : PUNCT cana-1477 2 14 a a DET cana-1477 2 15 comparative comparative ADJ cana-1477 2 16 analysis analysis NOUN cana-1477 2 17 using use VERB cana-1477 2 18 the the DET cana-1477 2 19 kaggles kaggle NOUN cana-1477 2 20 diabetes diabetes NOUN cana-1477 2 21 dataset dataset VERB cana-1477 2 22 vaman vaman NOUN cana-1477 2 23 m. m. PROPN cana-1477 2 24 haji haji PROPN cana-1477 2 25 faculty faculty PROPN cana-1477 2 26 of of ADP cana-1477 2 27 science science NOUN cana-1477 2 28 , , PUNCT cana-1477 2 29 university university NOUN cana-1477 2 30 of of ADP cana-1477 2 31 zakho zakho PROPN cana-1477 2 32 , , PUNCT cana-1477 2 33 zakho zakho PROPN cana-1477 2 34 , , PUNCT cana-1477 2 35 kurdistan kurdistan ADJ cana-1477 2 36 region region NOUN cana-1477 2 37 , , PUNCT cana-1477 2 38 iraq iraq PROPN cana-1477 2 39 vaman.haji@uoz.edu.krd vaman.haji@uoz.edu.krd PROPN cana-1477 2 40 article article NOUN cana-1477 2 41 history history NOUN cana-1477 2 42 : : PUNCT cana-1477 2 43 received receive VERB cana-1477 2 44 : : PUNCT cana-1477 2 45 25 25 NUM cana-1477 2 46 - - PUNCT cana-1477 2 47 04 04 NUM cana-1477 2 48 - - PUNCT cana-1477 2 49 2024 2024 NUM cana-1477 2 50 revised revise VERB cana-1477 2 51 : : PUNCT cana-1477 2 52 15 15 NUM cana-1477 2 53 - - SYM cana-1477 2 54 06 06 NUM cana-1477 2 55 - - PUNCT cana-1477 2 56 2024 2024 NUM cana-1477 2 57 accepted accept VERB cana-1477 2 58 : : PUNCT cana-1477 2 59 28 28 NUM cana-1477 2 60 - - SYM cana-1477 2 61 06 06 NUM cana-1477 2 62 - - PUNCT cana-1477 2 63 2024 2024 NUM cana-1477 2 64 abstract abstract NOUN cana-1477 2 65 : : PUNCT cana-1477 2 66 diabetes diabetes NOUN cana-1477 2 67 mellitus mellitus NOUN cana-1477 2 68 is be AUX cana-1477 2 69 a a DET cana-1477 2 70 significant significant ADJ cana-1477 2 71 global global ADJ cana-1477 2 72 health health NOUN cana-1477 2 73 concern concern NOUN cana-1477 2 74 that that PRON cana-1477 2 75 impacts impact VERB cana-1477 2 76 a a DET cana-1477 2 77 large large ADJ cana-1477 2 78 number number NOUN cana-1477 2 79 of of ADP cana-1477 2 80 individuals individual NOUN cana-1477 2 81 globally globally ADV cana-1477 2 82 and and CCONJ cana-1477 2 83 imposes impose VERB cana-1477 2 84 a a DET cana-1477 2 85 substantial substantial ADJ cana-1477 2 86 financial financial ADJ cana-1477 2 87 burden burden NOUN cana-1477 2 88 on on ADP cana-1477 2 89 healthcare healthcare NOUN cana-1477 2 90 systems system NOUN cana-1477 2 91 . . PUNCT cana-1477 3 1 the the DET cana-1477 3 2 aim aim NOUN cana-1477 3 3 of of ADP cana-1477 3 4 this this DET cana-1477 3 5 study study NOUN cana-1477 3 6 is be AUX cana-1477 3 7 to to PART cana-1477 3 8 use use VERB cana-1477 3 9 machine machine NOUN cana-1477 3 10 learning learning NOUN cana-1477 3 11 methods method NOUN cana-1477 3 12 , , PUNCT cana-1477 3 13 namely namely ADV cana-1477 3 14 support support VERB cana-1477 3 15 vector vector NOUN cana-1477 3 16 machines machine NOUN cana-1477 3 17 ( ( PUNCT cana-1477 3 18 svm svm PROPN cana-1477 3 19 ) ) PUNCT cana-1477 3 20 , , PUNCT cana-1477 3 21 to to PART cana-1477 3 22 develop develop VERB cana-1477 3 23 a a DET cana-1477 3 24 prediction prediction NOUN cana-1477 3 25 model model NOUN cana-1477 3 26 for for ADP cana-1477 3 27 assessing assess VERB cana-1477 3 28 the the DET cana-1477 3 29 risk risk NOUN cana-1477 3 30 of of ADP cana-1477 3 31 diabetes diabetes NOUN cana-1477 3 32 using use VERB cana-1477 3 33 the the DET cana-1477 3 34 kaggle kaggle ADJ cana-1477 3 35 diabetes diabetes NOUN cana-1477 3 36 dataset dataset VERB cana-1477 3 37 . . PUNCT cana-1477 4 1 we we PRON cana-1477 4 2 used use VERB cana-1477 4 3 a a DET cana-1477 4 4 comprehensive comprehensive ADJ cana-1477 4 5 dataset dataset NOUN cana-1477 4 6 sourced source VERB cana-1477 4 7 from from ADP cana-1477 4 8 kaggle kaggle PROPN cana-1477 4 9 , , PUNCT cana-1477 4 10 which which PRON cana-1477 4 11 encompasses encompass VERB cana-1477 4 12 several several ADJ cana-1477 4 13 health health NOUN cana-1477 4 14 metrics metric NOUN cana-1477 4 15 such such ADJ cana-1477 4 16 as as ADP cana-1477 4 17 age age NOUN cana-1477 4 18 , , PUNCT cana-1477 4 19 body body NOUN cana-1477 4 20 mass mass NOUN cana-1477 4 21 index index NOUN cana-1477 4 22 ( ( PUNCT cana-1477 4 23 bmi bmi PROPN cana-1477 4 24 ) ) PUNCT cana-1477 4 25 , , PUNCT cana-1477 4 26 glucose glucose NOUN cana-1477 4 27 levels level NOUN cana-1477 4 28 , , PUNCT cana-1477 4 29 and and CCONJ cana-1477 4 30 other other ADJ cana-1477 4 31 relevant relevant ADJ cana-1477 4 32 factors factor NOUN cana-1477 4 33 . . PUNCT cana-1477 5 1 in in ADP cana-1477 5 2 order order NOUN cana-1477 5 3 to to PART cana-1477 5 4 identify identify VERB cana-1477 5 5 patterns pattern NOUN cana-1477 5 6 that that PRON cana-1477 5 7 indicate indicate VERB cana-1477 5 8 a a DET cana-1477 5 9 potential potential ADJ cana-1477 5 10 risk risk NOUN cana-1477 5 11 of of ADP cana-1477 5 12 diabetes diabetes NOUN cana-1477 5 13 , , PUNCT cana-1477 5 14 our our PRON cana-1477 5 15 approach approach NOUN cana-1477 5 16 included include VERB cana-1477 5 17 doing do VERB cana-1477 5 18 data datum NOUN cana-1477 5 19 pre pre ADJ cana-1477 5 20 - - ADJ cana-1477 5 21 processing processing ADJ cana-1477 5 22 , , PUNCT cana-1477 5 23 selecting select VERB cana-1477 5 24 relevant relevant ADJ cana-1477 5 25 features feature NOUN cana-1477 5 26 , , PUNCT cana-1477 5 27 and and CCONJ cana-1477 5 28 implementing implement VERB cana-1477 5 29 a a DET cana-1477 5 30 support support NOUN cana-1477 5 31 vector vector NOUN cana-1477 5 32 machine machine NOUN cana-1477 5 33 ( ( PUNCT cana-1477 5 34 svm svm ADJ cana-1477 5 35 ) ) PUNCT cana-1477 5 36 classifier classifier NOUN cana-1477 5 37 . . PUNCT cana-1477 6 1 in in ADP cana-1477 6 2 order order NOUN cana-1477 6 3 to to PART cana-1477 6 4 assure assure VERB cana-1477 6 5 the the DET cana-1477 6 6 strength strength NOUN cana-1477 6 7 and and CCONJ cana-1477 6 8 reliability reliability NOUN cana-1477 6 9 of of ADP cana-1477 6 10 the the DET cana-1477 6 11 svm svm ADJ cana-1477 6 12 model model NOUN cana-1477 6 13 , , PUNCT cana-1477 6 14 it it PRON cana-1477 6 15 was be AUX cana-1477 6 16 trained train VERB cana-1477 6 17 and and CCONJ cana-1477 6 18 validated validate VERB cana-1477 6 19 using use VERB cana-1477 6 20 standard standard ADJ cana-1477 6 21 cross cross ADJ cana-1477 6 22 - - ADJ cana-1477 6 23 validation validation ADJ cana-1477 6 24 techniques technique NOUN cana-1477 6 25 . . PUNCT cana-1477 7 1 we we PRON cana-1477 7 2 evaluated evaluate VERB cana-1477 7 3 its its PRON cana-1477 7 4 performance performance NOUN cana-1477 7 5 by by ADP cana-1477 7 6 using use VERB cana-1477 7 7 f1 f1 NOUN cana-1477 7 8 - - PUNCT cana-1477 7 9 score score NOUN cana-1477 7 10 , , PUNCT cana-1477 7 11 accuracy accuracy NOUN cana-1477 7 12 , , PUNCT cana-1477 7 13 precision precision NOUN cana-1477 7 14 , , PUNCT cana-1477 7 15 and and CCONJ cana-1477 7 16 recall recall NOUN cana-1477 7 17 criteria criterion NOUN cana-1477 7 18 . . PUNCT cana-1477 8 1 based base VERB cana-1477 8 2 on on ADP cana-1477 8 3 our our PRON cana-1477 8 4 findings finding NOUN cana-1477 8 5 , , PUNCT cana-1477 8 6 the the DET cana-1477 8 7 svm svm ADJ cana-1477 8 8 approach approach NOUN cana-1477 8 9 shows show VERB cana-1477 8 10 promise promise NOUN cana-1477 8 11 in in ADP cana-1477 8 12 predicting predict VERB cana-1477 8 13 the the DET cana-1477 8 14 risk risk NOUN cana-1477 8 15 of of ADP cana-1477 8 16 diabetes diabetes NOUN cana-1477 8 17 , , PUNCT cana-1477 8 18 with with ADP cana-1477 8 19 an an DET cana-1477 8 20 accuracy accuracy NOUN cana-1477 8 21 of of ADP cana-1477 8 22 83.12 83.12 NUM cana-1477 8 23 % % NOUN cana-1477 8 24 on on ADP cana-1477 8 25 the the DET cana-1477 8 26 test test NOUN cana-1477 8 27 set set NOUN cana-1477 8 28 . . PUNCT cana-1477 9 1 despite despite SCONJ cana-1477 9 2 the the DET cana-1477 9 3 encouraging encouraging ADJ cana-1477 9 4 findings finding NOUN cana-1477 9 5 , , PUNCT cana-1477 9 6 we we PRON cana-1477 9 7 acknowledge acknowledge VERB cana-1477 9 8 the the DET cana-1477 9 9 need need NOUN cana-1477 9 10 for for ADP cana-1477 9 11 future future ADJ cana-1477 9 12 improvement improvement NOUN cana-1477 9 13 of of ADP cana-1477 9 14 the the DET cana-1477 9 15 model model NOUN cana-1477 9 16 and and CCONJ cana-1477 9 17 the the DET cana-1477 9 18 limits limit NOUN cana-1477 9 19 of of ADP cana-1477 9 20 our our PRON cana-1477 9 21 work work NOUN cana-1477 9 22 . . PUNCT cana-1477 10 1 subsequent subsequent ADJ cana-1477 10 2 investigations investigation NOUN cana-1477 10 3 might might AUX cana-1477 10 4 use use VERB cana-1477 10 5 deep deep ADJ cana-1477 10 6 learning learning NOUN cana-1477 10 7 techniques technique NOUN cana-1477 10 8 or or CCONJ cana-1477 10 9 ensemble ensemble ADJ cana-1477 10 10 approaches approach NOUN cana-1477 10 11 to to PART cana-1477 10 12 enhance enhance VERB cana-1477 10 13 the the DET cana-1477 10 14 accuracy accuracy NOUN cana-1477 10 15 of of ADP cana-1477 10 16 predictions prediction NOUN cana-1477 10 17 . . PUNCT cana-1477 11 1 this this DET cana-1477 11 2 work work NOUN cana-1477 11 3 contributes contribute VERB cana-1477 11 4 to to ADP cana-1477 11 5 the the DET cana-1477 11 6 growing grow VERB cana-1477 11 7 body body NOUN cana-1477 11 8 of of ADP cana-1477 11 9 research research NOUN cana-1477 11 10 on on ADP cana-1477 11 11 the the DET cana-1477 11 12 use use NOUN cana-1477 11 13 of of ADP cana-1477 11 14 machine machine NOUN cana-1477 11 15 learning learning NOUN cana-1477 11 16 in in ADP cana-1477 11 17 healthcare healthcare NOUN cana-1477 11 18 and and CCONJ cana-1477 11 19 has have VERB cana-1477 11 20 the the DET cana-1477 11 21 potential potential NOUN cana-1477 11 22 to to PART cana-1477 11 23 influence influence VERB cana-1477 11 24 strategies strategy NOUN cana-1477 11 25 for for ADP cana-1477 11 26 early early ADJ cana-1477 11 27 identification identification NOUN cana-1477 11 28 and and CCONJ cana-1477 11 29 prevention prevention NOUN cana-1477 11 30 of of ADP cana-1477 11 31 diabetes diabetes NOUN cana-1477 11 32 . . PUNCT cana-1477 12 1 prior prior ADV cana-1477 12 2 to to ADP cana-1477 12 3 considering consider VERB cana-1477 12 4 actual actual ADJ cana-1477 12 5 implementation implementation NOUN cana-1477 12 6 , , PUNCT cana-1477 12 7 more more ADV cana-1477 12 8 clinical clinical ADJ cana-1477 12 9 validation validation NOUN cana-1477 12 10 is be AUX cana-1477 12 11 necessary necessary ADJ cana-1477 12 12 . . PUNCT cana-1477 13 1 this this DET cana-1477 13 2 introduction introduction NOUN cana-1477 13 3 , , PUNCT cana-1477 13 4 written write VERB cana-1477 13 5 in in ADP cana-1477 13 6 apa apa PROPN cana-1477 13 7 format format NOUN cana-1477 13 8 , , PUNCT cana-1477 13 9 specifically specifically ADV cana-1477 13 10 examines examine VERB cana-1477 13 11 studies study NOUN cana-1477 13 12 that that PRON cana-1477 13 13 used use VERB cana-1477 13 14 the the DET cana-1477 13 15 kaggle kaggle ADJ cana-1477 13 16 diabetes diabetes NOUN cana-1477 13 17 dataset dataset VERB cana-1477 13 18 or or CCONJ cana-1477 13 19 similar similar ADJ cana-1477 13 20 datasets dataset NOUN cana-1477 13 21 for for ADP cana-1477 13 22 the the DET cana-1477 13 23 purpose purpose NOUN cana-1477 13 24 of of ADP cana-1477 13 25 predicting predict VERB cana-1477 13 26 diabetes diabetes NOUN cana-1477 13 27 . . PUNCT cana-1477 14 1 it it PRON cana-1477 14 2 includes include VERB cana-1477 14 3 a a DET cana-1477 14 4 minimum minimum NOUN cana-1477 14 5 of of ADP cana-1477 14 6 12 12 NUM cana-1477 14 7 references reference NOUN cana-1477 14 8 . . PUNCT cana-1477 15 1 keywords keyword NOUN cana-1477 15 2 : : PUNCT cana-1477 15 3 svm svm ADJ cana-1477 15 4 , , PUNCT cana-1477 15 5 classification classification NOUN cana-1477 15 6 , , PUNCT cana-1477 15 7 diabetes diabetes NOUN cana-1477 15 8 prediction prediction NOUN cana-1477 15 9 , , PUNCT cana-1477 15 10 kaggle kaggle NOUN cana-1477 15 11 dataset dataset NOUN cana-1477 15 12 . . PUNCT cana-1477 16 1 1 1 X cana-1477 16 2 . . X cana-1477 16 3 introduction introduction NOUN cana-1477 16 4 diabetes diabetes NOUN cana-1477 16 5 mellitus mellitus NOUN cana-1477 16 6 , , PUNCT cana-1477 16 7 a a DET cana-1477 16 8 chronic chronic ADJ cana-1477 16 9 metabolic metabolic NOUN cana-1477 16 10 disorder disorder NOUN cana-1477 16 11 marked mark VERB cana-1477 16 12 by by ADP cana-1477 16 13 elevated elevated ADJ cana-1477 16 14 blood blood NOUN cana-1477 16 15 glucose glucose NOUN cana-1477 16 16 levels level NOUN cana-1477 16 17 , , PUNCT cana-1477 16 18 affects affect VERB cana-1477 16 19 millions million NOUN cana-1477 16 20 of of ADP cana-1477 16 21 individuals individual NOUN cana-1477 16 22 globally globally ADV cana-1477 16 23 ( ( PUNCT cana-1477 16 24 world world NOUN cana-1477 16 25 health health NOUN cana-1477 16 26 organisation organisation NOUN cana-1477 16 27 [ [ X cana-1477 16 28 who who PRON cana-1477 16 29 ] ] X cana-1477 16 30 , , PUNCT cana-1477 16 31 2021 2021 NUM cana-1477 16 32 ) ) PUNCT cana-1477 16 33 . . PUNCT cana-1477 17 1 early early ADJ cana-1477 17 2 identification identification NOUN cana-1477 17 3 and and CCONJ cana-1477 17 4 therapy therapy NOUN cana-1477 17 5 are be AUX cana-1477 17 6 crucial crucial ADJ cana-1477 17 7 for for ADP cana-1477 17 8 effectively effectively ADV cana-1477 17 9 managing manage VERB cana-1477 17 10 the the DET cana-1477 17 11 condition condition NOUN cana-1477 17 12 and and CCONJ cana-1477 17 13 preventing prevent VERB cana-1477 17 14 complications complication NOUN cana-1477 17 15 . . PUNCT cana-1477 18 1 in in ADP cana-1477 18 2 recent recent ADJ cana-1477 18 3 years year NOUN cana-1477 18 4 , , PUNCT cana-1477 18 5 machine machine NOUN cana-1477 18 6 learning learning NOUN cana-1477 18 7 technologies technology NOUN cana-1477 18 8 have have AUX cana-1477 18 9 shown show VERB cana-1477 18 10 promise promise NOUN cana-1477 18 11 in in ADP cana-1477 18 12 predicting predict VERB cana-1477 18 13 the the DET cana-1477 18 14 risk risk NOUN cana-1477 18 15 of of ADP cana-1477 18 16 diabetes diabetes NOUN cana-1477 18 17 by by ADP cana-1477 18 18 using use VERB cana-1477 18 19 various various ADJ cana-1477 18 20 datasets dataset NOUN cana-1477 18 21 to to PART cana-1477 18 22 construct construct VERB cana-1477 18 23 and and CCONJ cana-1477 18 24 assess assess VERB cana-1477 18 25 predictive predictive ADJ cana-1477 18 26 models model NOUN cana-1477 18 27 . . PUNCT cana-1477 19 1 the the DET cana-1477 19 2 national national PROPN cana-1477 19 3 institute institute PROPN cana-1477 19 4 of of ADP cana-1477 19 5 diabetes diabetes NOUN cana-1477 19 6 and and CCONJ cana-1477 19 7 digestive digestive ADJ cana-1477 19 8 and and CCONJ cana-1477 19 9 kidney kidney NOUN cana-1477 19 10 diseases disease NOUN cana-1477 19 11 ' ' PART cana-1477 19 12 kaggle kaggle NOUN cana-1477 19 13 diabetes diabetes NOUN cana-1477 19 14 dataset dataset NOUN cana-1477 19 15 has have AUX cana-1477 19 16 been be AUX cana-1477 19 17 widely widely ADV cana-1477 19 18 used use VERB cana-1477 19 19 in in ADP cana-1477 19 20 research research NOUN cana-1477 19 21 on on ADP cana-1477 19 22 diabetes diabetes NOUN cana-1477 19 23 prediction prediction NOUN cana-1477 19 24 . . PUNCT cana-1477 20 1 this this DET cana-1477 20 2 dataset dataset NOUN cana-1477 20 3 , , PUNCT cana-1477 20 4 including include VERB cana-1477 20 5 a a DET cana-1477 20 6 variety variety NOUN cana-1477 20 7 of of ADP cana-1477 20 8 health health NOUN cana-1477 20 9 indicators indicator NOUN cana-1477 20 10 , , PUNCT cana-1477 20 11 has have AUX cana-1477 20 12 been be AUX cana-1477 20 13 used use VERB cana-1477 20 14 as as ADP cana-1477 20 15 the the DET cana-1477 20 16 foundation foundation NOUN cana-1477 20 17 for for ADP cana-1477 20 18 several several ADJ cana-1477 20 19 research research NOUN cana-1477 20 20 endeavours endeavour VERB cana-1477 20 21 using use VERB cana-1477 20 22 diverse diverse ADJ cana-1477 20 23 machine machine NOUN cana-1477 20 24 learning learning NOUN cana-1477 20 25 methodologies methodology NOUN cana-1477 20 26 . . PUNCT cana-1477 21 1 the the DET cana-1477 21 2 authors author NOUN cana-1477 21 3 of of ADP cana-1477 21 4 the the DET cana-1477 21 5 publication publication NOUN cana-1477 21 6 titled title VERB cana-1477 21 7 " " PUNCT cana-1477 21 8 sisodia sisodia NOUN cana-1477 21 9 and and CCONJ cana-1477 21 10 sisodia sisodia NOUN cana-1477 21 11 " " PUNCT cana-1477 21 12 in in ADP cana-1477 21 13 2018 2018 NUM cana-1477 21 14 by by ADP cana-1477 21 15 using use VERB cana-1477 21 16 decision decision NOUN cana-1477 21 17 trees tree NOUN cana-1477 21 18 , , PUNCT cana-1477 21 19 svm svm ADJ cana-1477 21 20 , , PUNCT cana-1477 21 21 and and CCONJ cana-1477 21 22 naive naive ADJ cana-1477 21 23 bayes bayes NOUN cana-1477 21 24 classifiers classifier NOUN cana-1477 21 25 , , PUNCT cana-1477 21 26 we we PRON cana-1477 21 27 achieved achieve VERB cana-1477 21 28 accuracies accuracy NOUN cana-1477 21 29 ranging range VERB cana-1477 21 30 from from ADP cana-1477 21 31 73.82 73.82 NUM cana-1477 21 32 % % NOUN cana-1477 21 33 to to ADP cana-1477 21 34 76.30 76.30 NUM cana-1477 21 35 % % NOUN cana-1477 21 36 on on ADP cana-1477 21 37 this this DET cana-1477 21 38 particular particular ADJ cana-1477 21 39 dataset dataset NOUN cana-1477 21 40 . . PUNCT cana-1477 22 1 in in ADP cana-1477 22 2 a a DET cana-1477 22 3 similar similar ADJ cana-1477 22 4 manner manner NOUN cana-1477 22 5 , , PUNCT cana-1477 22 6 tigga tigga PROPN cana-1477 22 7 and and CCONJ cana-1477 22 8 garg garg NOUN cana-1477 22 9 ( ( PUNCT cana-1477 22 10 2020 2020 NUM cana-1477 22 11 ) ) PUNCT cana-1477 22 12 documented document VERB cana-1477 22 13 accuracy accuracy NOUN cana-1477 22 14 levels level NOUN cana-1477 22 15 between between ADP cana-1477 22 16 75.65 75.65 NUM cana-1477 22 17 % % NOUN cana-1477 22 18 and and CCONJ cana-1477 22 19 80.13 80.13 NUM cana-1477 22 20 % % NOUN cana-1477 22 21 while while SCONJ cana-1477 22 22 using use VERB cana-1477 22 23 logistic logistic ADJ cana-1477 22 24 regression regression NOUN cana-1477 22 25 , , PUNCT cana-1477 22 26 decision decision NOUN cana-1477 22 27 trees tree NOUN cana-1477 22 28 , , PUNCT cana-1477 22 29 and and CCONJ cana-1477 22 30 random random ADJ cana-1477 22 31 forests forest NOUN cana-1477 22 32 . . PUNCT cana-1477 23 1 alehegn alehegn PROPN cana-1477 23 2 et et PROPN cana-1477 23 3 al al PROPN cana-1477 23 4 . . PROPN cana-1477 24 1 ( ( PUNCT cana-1477 24 2 2022 2022 NUM cana-1477 24 3 ) ) PUNCT cana-1477 24 4 communications communication NOUN cana-1477 24 5 on on ADP cana-1477 24 6 applied apply VERB cana-1477 24 7 nonlinear nonlinear ADJ cana-1477 24 8 analysis analysis NOUN cana-1477 24 9 issn issn NOUN cana-1477 24 10 : : PUNCT cana-1477 24 11 1074 1074 NUM cana-1477 24 12 - - PUNCT cana-1477 24 13 133x 133x NUM cana-1477 24 14 vol vol NOUN cana-1477 24 15 31 31 NUM cana-1477 24 16 no no NOUN cana-1477 24 17 . . PUNCT cana-1477 25 1 8s 8s PROPN cana-1477 25 2 ( ( PUNCT cana-1477 25 3 2024 2024 NUM cana-1477 25 4 ) ) PUNCT cana-1477 25 5 238 238 NUM cana-1477 25 6 https://internationalpubls.com https://internationalpubls.com X cana-1477 25 7 obtained obtain VERB cana-1477 25 8 an an DET cana-1477 25 9 accuracy accuracy NOUN cana-1477 25 10 of of ADP cana-1477 25 11 88.7 88.7 NUM cana-1477 25 12 % % NOUN cana-1477 25 13 by by ADP cana-1477 25 14 employing employ VERB cana-1477 25 15 an an DET cana-1477 25 16 ensemble ensemble ADJ cana-1477 25 17 technique technique NOUN cana-1477 25 18 that that PRON cana-1477 25 19 included include VERB cana-1477 25 20 random random ADJ cana-1477 25 21 forest forest NOUN cana-1477 25 22 , , PUNCT cana-1477 25 23 xgboost xgboost ADV cana-1477 25 24 , , PUNCT cana-1477 25 25 and and CCONJ cana-1477 25 26 lightgbm lightgbm ADJ cana-1477 25 27 . . PUNCT cana-1477 26 1 chandrasekar chandrasekar PROPN cana-1477 26 2 et et PROPN cana-1477 26 3 al al PROPN cana-1477 26 4 . . PROPN cana-1477 27 1 ( ( PUNCT cana-1477 27 2 2022 2022 NUM cana-1477 27 3 ) ) PUNCT cana-1477 27 4 used use VERB cana-1477 27 5 deep deep ADJ cana-1477 27 6 learning learning NOUN cana-1477 27 7 methodologies methodology NOUN cana-1477 27 8 using use VERB cana-1477 27 9 artificial artificial ADJ cana-1477 27 10 neural neural ADJ cana-1477 27 11 networks network NOUN cana-1477 27 12 to to PART cana-1477 27 13 get get VERB cana-1477 27 14 an an DET cana-1477 27 15 accuracy accuracy NOUN cana-1477 27 16 level level NOUN cana-1477 27 17 of of ADP cana-1477 27 18 81.82 81.82 NUM cana-1477 27 19 % % NOUN cana-1477 27 20 . . PUNCT cana-1477 28 1 some some DET cana-1477 28 2 other other ADJ cana-1477 28 3 researchers researcher NOUN cana-1477 28 4 have have AUX cana-1477 28 5 concentrated concentrate VERB cana-1477 28 6 on on ADP cana-1477 28 7 feature feature NOUN cana-1477 28 8 selection selection NOUN cana-1477 28 9 and and CCONJ cana-1477 28 10 data datum NOUN cana-1477 28 11 pre pre ADJ cana-1477 28 12 - - NOUN cana-1477 28 13 processing process VERB cana-1477 28 14 in in ADP cana-1477 28 15 order order NOUN cana-1477 28 16 to to PART cana-1477 28 17 improve improve VERB cana-1477 28 18 the the DET cana-1477 28 19 performance performance NOUN cana-1477 28 20 of of ADP cana-1477 28 21 the the DET cana-1477 28 22 model model NOUN cana-1477 28 23 . . PUNCT cana-1477 29 1 ganapathy ganapathy PROPN cana-1477 29 2 et et PROPN cana-1477 29 3 al al PROPN cana-1477 29 4 . . PROPN cana-1477 30 1 ( ( PUNCT cana-1477 30 2 2020 2020 NUM cana-1477 30 3 ) ) PUNCT cana-1477 30 4 used use VERB cana-1477 30 5 correlation correlation NOUN cana-1477 30 6 - - PUNCT cana-1477 30 7 based base VERB cana-1477 30 8 feature feature NOUN cana-1477 30 9 selection selection NOUN cana-1477 30 10 as as ADP cana-1477 30 11 a a DET cana-1477 30 12 preprocessing preprocessing NOUN cana-1477 30 13 step step NOUN cana-1477 30 14 prior prior ADV cana-1477 30 15 to to ADP cana-1477 30 16 using use VERB cana-1477 30 17 support support NOUN cana-1477 30 18 vector vector NOUN cana-1477 30 19 machines machine NOUN cana-1477 30 20 ( ( PUNCT cana-1477 30 21 svm svm PROPN cana-1477 30 22 ) ) PUNCT cana-1477 30 23 , , PUNCT cana-1477 30 24 resulting result VERB cana-1477 30 25 in in ADP cana-1477 30 26 an an DET cana-1477 30 27 enhanced enhanced ADJ cana-1477 30 28 accuracy accuracy NOUN cana-1477 30 29 of of ADP cana-1477 30 30 78.21 78.21 NUM cana-1477 30 31 % % NOUN cana-1477 30 32 . . PUNCT cana-1477 31 1 meanwhile meanwhile ADV cana-1477 31 2 , , PUNCT cana-1477 31 3 kopitar kopitar PROPN cana-1477 31 4 et et PROPN cana-1477 31 5 al al PROPN cana-1477 31 6 . . PROPN cana-1477 31 7 ( ( PUNCT cana-1477 31 8 2020 2020 NUM cana-1477 31 9 ) ) PUNCT cana-1477 31 10 highlighted highlight VERB cana-1477 31 11 the the DET cana-1477 31 12 significance significance NOUN cana-1477 31 13 of of ADP cana-1477 31 14 managing manage VERB cana-1477 31 15 class class NOUN cana-1477 31 16 imbalance imbalance NOUN cana-1477 31 17 by by ADP cana-1477 31 18 using use VERB cana-1477 31 19 smote smote NOUN cana-1477 31 20 ( ( PUNCT cana-1477 31 21 synthetic synthetic ADJ cana-1477 31 22 minority minority NOUN cana-1477 31 23 over over ADP cana-1477 31 24 - - PUNCT cana-1477 31 25 sampling sample VERB cana-1477 31 26 technique technique NOUN cana-1477 31 27 ) ) PUNCT cana-1477 31 28 as as ADP cana-1477 31 29 a a DET cana-1477 31 30 solution solution NOUN cana-1477 31 31 for for ADP cana-1477 31 32 this this DET cana-1477 31 33 problem problem NOUN cana-1477 31 34 . . PUNCT cana-1477 32 1 several several ADJ cana-1477 32 2 articles article NOUN cana-1477 32 3 have have AUX cana-1477 32 4 conducted conduct VERB cana-1477 32 5 comparisons comparison NOUN cana-1477 32 6 between between ADP cana-1477 32 7 the the DET cana-1477 32 8 kaggle kaggle ADJ cana-1477 32 9 dataset dataset NOUN cana-1477 32 10 and and CCONJ cana-1477 32 11 other other ADJ cana-1477 32 12 datasets dataset NOUN cana-1477 32 13 related relate VERB cana-1477 32 14 to to ADP cana-1477 32 15 diabetes diabetes NOUN cana-1477 32 16 . . PUNCT cana-1477 33 1 for for ADP cana-1477 33 2 instance instance NOUN cana-1477 33 3 , , PUNCT cana-1477 33 4 malik malik PROPN cana-1477 33 5 et et PROPN cana-1477 33 6 al al PROPN cana-1477 33 7 . . PROPN cana-1477 34 1 ( ( PUNCT cana-1477 34 2 2021 2021 NUM cana-1477 34 3 ) ) PUNCT cana-1477 34 4 discovered discover VERB cana-1477 34 5 comparable comparable ADJ cana-1477 34 6 results result NOUN cana-1477 34 7 across across ADP cana-1477 34 8 several several ADJ cana-1477 34 9 techniques technique NOUN cana-1477 34 10 in in ADP cana-1477 34 11 a a DET cana-1477 34 12 comparative comparative ADJ cana-1477 34 13 study study NOUN cana-1477 34 14 using use VERB cana-1477 34 15 the the DET cana-1477 34 16 pima pima PROPN cana-1477 34 17 indians indians PROPN cana-1477 34 18 diabetes diabete VERB cana-1477 34 19 database database NOUN cana-1477 34 20 and and CCONJ cana-1477 34 21 the the DET cana-1477 34 22 kaggle kaggle ADJ cana-1477 34 23 dataset dataset NOUN cana-1477 34 24 . . PUNCT cana-1477 35 1 the the DET cana-1477 35 2 latest late ADJ cana-1477 35 3 study study NOUN cana-1477 35 4 conducted conduct VERB cana-1477 35 5 by by ADP cana-1477 35 6 zhang zhang PROPN cana-1477 35 7 et et PROPN cana-1477 35 8 al al PROPN cana-1477 35 9 . . PROPN cana-1477 36 1 ( ( PUNCT cana-1477 36 2 2023 2023 NUM cana-1477 36 3 ) ) PUNCT cana-1477 36 4 explores explore VERB cana-1477 36 5 the the DET cana-1477 36 6 possible possible ADJ cana-1477 36 7 integration integration NOUN cana-1477 36 8 of of ADP cana-1477 36 9 genetic genetic ADJ cana-1477 36 10 data datum NOUN cana-1477 36 11 with with ADP cana-1477 36 12 traditional traditional ADJ cana-1477 36 13 health health NOUN cana-1477 36 14 measurements measurement NOUN cana-1477 36 15 , , PUNCT cana-1477 36 16 which which PRON cana-1477 36 17 might might AUX cana-1477 36 18 lead lead VERB cana-1477 36 19 to to ADP cana-1477 36 20 the the DET cana-1477 36 21 development development NOUN cana-1477 36 22 of of ADP cana-1477 36 23 personalised personalised ADJ cana-1477 36 24 risk risk NOUN cana-1477 36 25 prediction prediction NOUN cana-1477 36 26 methods method NOUN cana-1477 36 27 . . PUNCT cana-1477 37 1 in in ADP cana-1477 37 2 addition addition NOUN cana-1477 37 3 , , PUNCT cana-1477 37 4 gupta gupta PROPN cana-1477 37 5 et et PROPN cana-1477 37 6 al al PROPN cana-1477 37 7 . . PROPN cana-1477 37 8 ( ( PUNCT cana-1477 37 9 2022 2022 NUM cana-1477 37 10 ) ) PUNCT cana-1477 37 11 investigated investigate VERB cana-1477 37 12 the the DET cana-1477 37 13 potential potential NOUN cana-1477 37 14 of of ADP cana-1477 37 15 using use VERB cana-1477 37 16 federated federated ADJ cana-1477 37 17 learning learning NOUN cana-1477 37 18 techniques technique NOUN cana-1477 37 19 to to PART cana-1477 37 20 address address VERB cana-1477 37 21 privacy privacy NOUN cana-1477 37 22 issues issue NOUN cana-1477 37 23 in in ADP cana-1477 37 24 diabetes diabetes NOUN cana-1477 37 25 prediction prediction NOUN cana-1477 37 26 models model NOUN cana-1477 37 27 . . PUNCT cana-1477 38 1 however however ADV cana-1477 38 2 , , PUNCT cana-1477 38 3 achieving achieve VERB cana-1477 38 4 great great ADJ cana-1477 38 5 accuracy accuracy NOUN cana-1477 38 6 and and CCONJ cana-1477 38 7 generalisability generalisability NOUN cana-1477 38 8 remains remains AUX cana-1477 38 9 challenging challenge VERB cana-1477 38 10 despite despite SCONJ cana-1477 38 11 these these DET cana-1477 38 12 advancements advancement NOUN cana-1477 38 13 . . PUNCT cana-1477 39 1 ongoing ongoing ADJ cana-1477 39 2 research research NOUN cana-1477 39 3 is be AUX cana-1477 39 4 being be AUX cana-1477 39 5 conducted conduct VERB cana-1477 39 6 on on ADP cana-1477 39 7 several several ADJ cana-1477 39 8 aspects aspect NOUN cana-1477 39 9 such such ADJ cana-1477 39 10 as as ADP cana-1477 39 11 feature feature NOUN cana-1477 39 12 selection selection NOUN cana-1477 39 13 , , PUNCT cana-1477 39 14 data datum NOUN cana-1477 39 15 quality quality NOUN cana-1477 39 16 , , PUNCT cana-1477 39 17 and and CCONJ cana-1477 39 18 model model NOUN cana-1477 39 19 interpretability interpretability NOUN cana-1477 39 20 ( ( PUNCT cana-1477 39 21 kumar kumar PROPN cana-1477 39 22 et et PROPN cana-1477 39 23 al al PROPN cana-1477 39 24 . . PROPN cana-1477 39 25 , , PUNCT cana-1477 39 26 2021 2021 NUM cana-1477 39 27 ) ) PUNCT cana-1477 39 28 . . PUNCT cana-1477 40 1 the the DET cana-1477 40 2 objective objective NOUN cana-1477 40 3 of of ADP cana-1477 40 4 this this DET cana-1477 40 5 study study NOUN cana-1477 40 6 is be AUX cana-1477 40 7 to to PART cana-1477 40 8 enhance enhance VERB cana-1477 40 9 the the DET cana-1477 40 10 field field NOUN cana-1477 40 11 by by ADP cana-1477 40 12 using use VERB cana-1477 40 13 a a DET cana-1477 40 14 support support NOUN cana-1477 40 15 vector vector NOUN cana-1477 40 16 machine machine NOUN cana-1477 40 17 approach approach NOUN cana-1477 40 18 to to PART cana-1477 40 19 analyse analyse VERB cana-1477 40 20 the the DET cana-1477 40 21 diabetes diabetes NOUN cana-1477 40 22 dataset dataset VERB cana-1477 40 23 from from ADP cana-1477 40 24 kaggle kaggle PROPN cana-1477 40 25 , , PUNCT cana-1477 40 26 building build VERB cana-1477 40 27 upon upon SCONJ cana-1477 40 28 previous previous ADJ cana-1477 40 29 research research NOUN cana-1477 40 30 . . PUNCT cana-1477 41 1 to to PART cana-1477 41 2 align align VERB cana-1477 41 3 our our PRON cana-1477 41 4 results result NOUN cana-1477 41 5 with with ADP cana-1477 41 6 the the DET cana-1477 41 7 existing exist VERB cana-1477 41 8 standards standard NOUN cana-1477 41 9 in in ADP cana-1477 41 10 the the DET cana-1477 41 11 literature literature NOUN cana-1477 41 12 , , PUNCT cana-1477 41 13 we we PRON cana-1477 41 14 aim aim VERB cana-1477 41 15 to to PART cana-1477 41 16 explore explore VERB cana-1477 41 17 the the DET cana-1477 41 18 capabilities capability NOUN cana-1477 41 19 of of ADP cana-1477 41 20 support support NOUN cana-1477 41 21 vector vector NOUN cana-1477 41 22 machines machine NOUN cana-1477 41 23 ( ( PUNCT cana-1477 41 24 svms svms NOUN cana-1477 41 25 ) ) PUNCT cana-1477 41 26 in in ADP cana-1477 41 27 predicting predict VERB cana-1477 41 28 the the DET cana-1477 41 29 risk risk NOUN cana-1477 41 30 of of ADP cana-1477 41 31 diabetes diabetes NOUN cana-1477 41 32 . . PUNCT cana-1477 42 1 2 2 X cana-1477 42 2 . . X cana-1477 42 3 materials material NOUN cana-1477 42 4 and and CCONJ cana-1477 42 5 methods method NOUN cana-1477 42 6 2.1 2.1 NUM cana-1477 42 7 dataset dataset ADJ cana-1477 42 8 description description NOUN cana-1477 42 9 the the DET cana-1477 42 10 national national PROPN cana-1477 42 11 institute institute PROPN cana-1477 42 12 of of ADP cana-1477 42 13 diabetes diabetes NOUN cana-1477 42 14 and and CCONJ cana-1477 42 15 digestive digestive ADJ cana-1477 42 16 and and CCONJ cana-1477 42 17 kidney kidney NOUN cana-1477 42 18 diseases disease NOUN cana-1477 42 19 ( ( PUNCT cana-1477 42 20 national national PROPN cana-1477 42 21 institute institute PROPN cana-1477 42 22 of of ADP cana-1477 42 23 diabetes diabetes NOUN cana-1477 42 24 and and CCONJ cana-1477 42 25 digestive digestive ADJ cana-1477 42 26 and and CCONJ cana-1477 42 27 kidney kidney NOUN cana-1477 42 28 diseases disease NOUN cana-1477 42 29 , , PUNCT cana-1477 42 30 n.d n.d PROPN cana-1477 42 31 . . PROPN cana-1477 42 32 ) ) PUNCT cana-1477 42 33 is be AUX cana-1477 42 34 the the DET cana-1477 42 35 source source NOUN cana-1477 42 36 of of ADP cana-1477 42 37 the the DET cana-1477 42 38 kaggle kaggle ADJ cana-1477 42 39 diabetes diabetes NOUN cana-1477 42 40 dataset dataset VERB cana-1477 42 41 that that PRON cana-1477 42 42 was be AUX cana-1477 42 43 used use VERB cana-1477 42 44 in in ADP cana-1477 42 45 this this DET cana-1477 42 46 study study NOUN cana-1477 42 47 . . PUNCT cana-1477 43 1 the the DET cana-1477 43 2 dataset dataset NOUN cana-1477 43 3 includes include VERB cana-1477 43 4 a a DET cana-1477 43 5 single single ADJ cana-1477 43 6 target target NOUN cana-1477 43 7 variable variable NOUN cana-1477 43 8 , , PUNCT cana-1477 43 9 outcome outcome NOUN cana-1477 43 10 , , PUNCT cana-1477 43 11 and and CCONJ cana-1477 43 12 multiple multiple ADJ cana-1477 43 13 medical medical ADJ cana-1477 43 14 predictor predictor NOUN cana-1477 43 15 variables variable NOUN cana-1477 43 16 . . PUNCT cana-1477 44 1 the the DET cana-1477 44 2 patient patient NOUN cana-1477 44 3 's 's PART cana-1477 44 4 age age NOUN cana-1477 44 5 , , PUNCT cana-1477 44 6 bmi bmi NOUN cana-1477 44 7 , , PUNCT cana-1477 44 8 insulin insulin NOUN cana-1477 44 9 level level NOUN cana-1477 44 10 , , PUNCT cana-1477 44 11 number number NOUN cana-1477 44 12 of of ADP cana-1477 44 13 pregnancies pregnancy NOUN cana-1477 44 14 , , PUNCT cana-1477 44 15 and and CCONJ cana-1477 44 16 other other ADJ cana-1477 44 17 variables variable NOUN cana-1477 44 18 are be AUX cana-1477 44 19 all all PRON cana-1477 44 20 predictor predictor NOUN cana-1477 44 21 variables variable NOUN cana-1477 44 22 . . PUNCT cana-1477 45 1 a a DET cana-1477 45 2 binary binary ADJ cana-1477 45 3 indicator indicator NOUN cana-1477 45 4 of of ADP cana-1477 45 5 whether whether SCONJ cana-1477 45 6 or or CCONJ cana-1477 45 7 not not PART cana-1477 45 8 the the DET cana-1477 45 9 patient patient NOUN cana-1477 45 10 has have AUX cana-1477 45 11 diabetes diabetes NOUN cana-1477 45 12 , , PUNCT cana-1477 45 13 the the DET cana-1477 45 14 target target NOUN cana-1477 45 15 variable variable ADJ cana-1477 45 16 outcome outcome NOUN cana-1477 45 17 ( ( PUNCT cana-1477 45 18 1 1 NUM cana-1477 45 19 for for ADP cana-1477 45 20 yes yes PROPN cana-1477 45 21 , , PUNCT cana-1477 45 22 0 0 NUM cana-1477 45 23 for for ADP cana-1477 45 24 no no NOUN cana-1477 45 25 ) ) PUNCT cana-1477 45 26 . . PUNCT cana-1477 46 1 2.2 2.2 NUM cana-1477 46 2 data datum NOUN cana-1477 46 3 pre pre ADJ cana-1477 46 4 - - NOUN cana-1477 46 5 processing processing ADJ cana-1477 46 6 we we PRON cana-1477 46 7 carried carry VERB cana-1477 46 8 out out ADP cana-1477 46 9 a a DET cana-1477 46 10 number number NOUN cana-1477 46 11 of of ADP cana-1477 46 12 pre pre ADJ cana-1477 46 13 - - ADJ cana-1477 46 14 processing processing ADJ cana-1477 46 15 procedures procedure NOUN cana-1477 46 16 to to PART cana-1477 46 17 guarantee guarantee VERB cana-1477 46 18 the the DET cana-1477 46 19 accuracy accuracy NOUN cana-1477 46 20 and and CCONJ cana-1477 46 21 dependability dependability NOUN cana-1477 46 22 of of ADP cana-1477 46 23 our our PRON cana-1477 46 24 analysis analysis NOUN cana-1477 46 25 : : PUNCT cana-1477 46 26 2.2.1 2.2.1 NUM cana-1477 46 27 handling handle VERB cana-1477 46 28 missing missing ADJ cana-1477 46 29 and and CCONJ cana-1477 46 30 infinite infinite ADJ cana-1477 46 31 values value NOUN cana-1477 46 32 in in ADP cana-1477 46 33 order order NOUN cana-1477 46 34 to to PART cana-1477 46 35 find find VERB cana-1477 46 36 and and CCONJ cana-1477 46 37 fix fix VERB cana-1477 46 38 missing missing ADJ cana-1477 46 39 or or CCONJ cana-1477 46 40 infinite infinite ADJ cana-1477 46 41 numbers number NOUN cana-1477 46 42 that that PRON cana-1477 46 43 can can AUX cana-1477 46 44 potentially potentially ADV cana-1477 46 45 distort distort VERB cana-1477 46 46 our our PRON cana-1477 46 47 analysis analysis NOUN cana-1477 46 48 or or CCONJ cana-1477 46 49 cause cause VERB cana-1477 46 50 computational computational ADJ cana-1477 46 51 problems problem NOUN cana-1477 46 52 , , PUNCT cana-1477 46 53 we we PRON cana-1477 46 54 thoroughly thoroughly ADV cana-1477 46 55 examined examine VERB cana-1477 46 56 the the DET cana-1477 46 57 dataset dataset NOUN cana-1477 46 58 . . PUNCT cana-1477 47 1 when when SCONJ cana-1477 47 2 missing miss VERB cana-1477 47 3 values value NOUN cana-1477 47 4 were be AUX cana-1477 47 5 found find VERB cana-1477 47 6 , , PUNCT cana-1477 47 7 they they PRON cana-1477 47 8 were be AUX cana-1477 47 9 imputed impute VERB cana-1477 47 10 using use VERB cana-1477 47 11 the the DET cana-1477 47 12 corresponding correspond VERB cana-1477 47 13 feature feature NOUN cana-1477 47 14 's 's PART cana-1477 47 15 mean mean ADJ cana-1477 47 16 . . PUNCT cana-1477 48 1 despite despite SCONJ cana-1477 48 2 its its PRON cana-1477 48 3 simplicity simplicity NOUN cana-1477 48 4 , , PUNCT cana-1477 48 5 this this DET cana-1477 48 6 approach approach NOUN cana-1477 48 7 frequently frequently ADV cana-1477 48 8 works work VERB cana-1477 48 9 well well ADV cana-1477 48 10 to to PART cana-1477 48 11 preserve preserve VERB cana-1477 48 12 the the DET cana-1477 48 13 data datum NOUN cana-1477 48 14 's 's PART cana-1477 48 15 overall overall ADJ cana-1477 48 16 distribution distribution NOUN cana-1477 48 17 ( ( PUNCT cana-1477 48 18 donders donder NOUN cana-1477 48 19 et et PROPN cana-1477 48 20 al al PROPN cana-1477 48 21 . . PROPN cana-1477 48 22 , , PUNCT cana-1477 48 23 2006 2006 NUM cana-1477 48 24 ) ) PUNCT cana-1477 48 25 . . PUNCT cana-1477 49 1 we we PRON cana-1477 49 2 took take VERB cana-1477 49 3 a a DET cana-1477 49 4 conservative conservative ADJ cana-1477 49 5 tack tack NOUN cana-1477 49 6 when when SCONJ cana-1477 49 7 it it PRON cana-1477 49 8 came come VERB cana-1477 49 9 to to ADP cana-1477 49 10 features feature NOUN cana-1477 49 11 with with ADP cana-1477 49 12 infinite infinite ADJ cana-1477 49 13 values value NOUN cana-1477 49 14 , , PUNCT cana-1477 49 15 substituting substitute VERB cana-1477 49 16 them they PRON cana-1477 49 17 with with ADP cana-1477 49 18 the the DET cana-1477 49 19 highest high ADJ cana-1477 49 20 finite finite ADJ cana-1477 49 21 value value NOUN cana-1477 49 22 found find VERB cana-1477 49 23 communications communication NOUN cana-1477 49 24 on on ADP cana-1477 49 25 applied apply VERB cana-1477 49 26 nonlinear nonlinear ADJ cana-1477 49 27 analysis analysis NOUN cana-1477 49 28 issn issn NOUN cana-1477 49 29 : : PUNCT cana-1477 49 30 1074 1074 NUM cana-1477 49 31 - - PUNCT cana-1477 49 32 133x 133x NUM cana-1477 49 33 vol vol NOUN cana-1477 49 34 31 31 NUM cana-1477 49 35 no no NOUN cana-1477 49 36 . . PUNCT cana-1477 50 1 8s 8s PROPN cana-1477 50 2 ( ( PUNCT cana-1477 50 3 2024 2024 NUM cana-1477 50 4 ) ) PUNCT cana-1477 50 5 239 239 NUM cana-1477 50 6 https://internationalpubls.com https://internationalpubls.com X cana-1477 50 7 inside inside ADP cana-1477 50 8 that that DET cana-1477 50 9 feature feature NOUN cana-1477 50 10 . . PUNCT cana-1477 51 1 this this DET cana-1477 51 2 tactic tactic NOUN cana-1477 51 3 avoids avoid VERB cana-1477 51 4 the the DET cana-1477 51 5 computational computational ADJ cana-1477 51 6 difficulties difficulty NOUN cana-1477 51 7 brought bring VERB cana-1477 51 8 on on ADP cana-1477 51 9 by by ADP cana-1477 51 10 infinities infinity NOUN cana-1477 51 11 while while SCONJ cana-1477 51 12 maintaining maintain VERB cana-1477 51 13 the the DET cana-1477 51 14 relative relative ADJ cana-1477 51 15 magnitude magnitude NOUN cana-1477 51 16 of of ADP cana-1477 51 17 extreme extreme ADJ cana-1477 51 18 values value NOUN cana-1477 51 19 . . PUNCT cana-1477 52 1 2.2.2 2.2.2 NUM cana-1477 52 2 outlier outlier NOUN cana-1477 52 3 detection detection NOUN cana-1477 52 4 and and CCONJ cana-1477 52 5 handling handle VERB cana-1477 52 6 the the DET cana-1477 52 7 interquartile interquartile ADJ cana-1477 52 8 range range NOUN cana-1477 52 9 ( ( PUNCT cana-1477 52 10 iqr iqr NOUN cana-1477 52 11 ) ) PUNCT cana-1477 52 12 method method NOUN cana-1477 52 13 was be AUX cana-1477 52 14 utilized utilize VERB cana-1477 52 15 to to PART cana-1477 52 16 identify identify VERB cana-1477 52 17 and and CCONJ cana-1477 52 18 handle handle VERB cana-1477 52 19 outliers outlier NOUN cana-1477 52 20 . . PUNCT cana-1477 53 1 this this DET cana-1477 53 2 robust robust ADJ cana-1477 53 3 statistical statistical ADJ cana-1477 53 4 strategy strategy NOUN cana-1477 53 5 is be AUX cana-1477 53 6 less less ADV cana-1477 53 7 susceptible susceptible ADJ cana-1477 53 8 to to ADP cana-1477 53 9 extreme extreme ADJ cana-1477 53 10 data datum NOUN cana-1477 53 11 than than ADP cana-1477 53 12 standard standard ADJ cana-1477 53 13 deviation deviation NOUN cana-1477 53 14 - - PUNCT cana-1477 53 15 based base VERB cana-1477 53 16 methods method NOUN cana-1477 53 17 ( ( PUNCT cana-1477 53 18 upton upton PROPN cana-1477 53 19 & & CCONJ cana-1477 53 20 cook cook PROPN cana-1477 53 21 , , PUNCT cana-1477 53 22 2014 2014 NUM cana-1477 53 23 ) ) PUNCT cana-1477 53 24 . . PUNCT cana-1477 54 1 this this DET cana-1477 54 2 method method NOUN cana-1477 54 3 works work VERB cana-1477 54 4 especially especially ADV cana-1477 54 5 well well ADV cana-1477 54 6 with with ADP cana-1477 54 7 datasets dataset NOUN cana-1477 54 8 that that PRON cana-1477 54 9 might might AUX cana-1477 54 10 not not PART cana-1477 54 11 have have VERB cana-1477 54 12 a a DET cana-1477 54 13 normal normal ADJ cana-1477 54 14 distribution distribution NOUN cana-1477 54 15 . . PUNCT cana-1477 55 1 there there PRON cana-1477 55 2 are be VERB cana-1477 55 3 multiple multiple ADJ cana-1477 55 4 crucial crucial ADJ cana-1477 55 5 steps step NOUN cana-1477 55 6 in in ADP cana-1477 55 7 the the DET cana-1477 55 8 iqr iqr PROPN cana-1477 55 9 approach approach NOUN cana-1477 55 10 . . PUNCT cana-1477 56 1 1 1 X cana-1477 56 2 . . X cana-1477 56 3 calculation calculation NOUN cana-1477 56 4 of of ADP cana-1477 56 5 the the DET cana-1477 56 6 first first ADJ cana-1477 56 7 ( ( PUNCT cana-1477 56 8 q1 q1 PROPN cana-1477 56 9 ) ) PUNCT cana-1477 56 10 and and CCONJ cana-1477 56 11 third third ADJ cana-1477 56 12 ( ( PUNCT cana-1477 56 13 q3 q3 PROPN cana-1477 56 14 ) ) PUNCT cana-1477 56 15 quartiles quartile NOUN cana-1477 56 16 for for ADP cana-1477 56 17 each each DET cana-1477 56 18 feature feature NOUN cana-1477 56 19 . . PUNCT cana-1477 57 1 2 2 X cana-1477 57 2 . . X cana-1477 57 3 computation computation NOUN cana-1477 57 4 of of ADP cana-1477 57 5 the the DET cana-1477 57 6 iqr iqr PROPN cana-1477 57 7 by by ADP cana-1477 57 8 subtracting subtract VERB cana-1477 57 9 q1 q1 PROPN cana-1477 57 10 from from ADP cana-1477 57 11 q3 q3 PROPN cana-1477 57 12 . . PUNCT cana-1477 58 1 3 3 X cana-1477 58 2 . . X cana-1477 58 3 determination determination NOUN cana-1477 58 4 of of ADP cana-1477 58 5 the the DET cana-1477 58 6 lower low ADJ cana-1477 58 7 and and CCONJ cana-1477 58 8 upper upper ADJ cana-1477 58 9 bounds bound NOUN cana-1477 58 10 for for ADP cana-1477 58 11 acceptable acceptable ADJ cana-1477 58 12 data datum NOUN cana-1477 58 13 points point NOUN cana-1477 58 14 , , PUNCT cana-1477 58 15 typically typically ADV cana-1477 58 16 defined define VERB cana-1477 58 17 as as ADP cana-1477 58 18 q1 q1 PROPN cana-1477 58 19 1.5iqr 1.5iqr NUM cana-1477 58 20 and and CCONJ cana-1477 58 21 q3 q3 PROPN cana-1477 58 22 + + CCONJ cana-1477 58 23 1.5iqr 1.5iqr NUM cana-1477 58 24 , , PUNCT cana-1477 58 25 respectively respectively ADV cana-1477 58 26 . . PUNCT cana-1477 59 1 4 4 X cana-1477 59 2 . . X cana-1477 59 3 identification identification NOUN cana-1477 59 4 of of ADP cana-1477 59 5 data datum NOUN cana-1477 59 6 points point NOUN cana-1477 59 7 falling fall VERB cana-1477 59 8 outside outside ADP cana-1477 59 9 these these DET cana-1477 59 10 bounds bound NOUN cana-1477 59 11 as as ADP cana-1477 59 12 potential potential ADJ cana-1477 59 13 outliers outlier NOUN cana-1477 59 14 . . PUNCT cana-1477 60 1 once once SCONJ cana-1477 60 2 outliers outlier NOUN cana-1477 60 3 were be AUX cana-1477 60 4 detected detect VERB cana-1477 60 5 , , PUNCT cana-1477 60 6 we we PRON cana-1477 60 7 carefully carefully ADV cana-1477 60 8 examined examine VERB cana-1477 60 9 each each DET cana-1477 60 10 case case NOUN cana-1477 60 11 to to PART cana-1477 60 12 determine determine VERB cana-1477 60 13 whether whether SCONJ cana-1477 60 14 it it PRON cana-1477 60 15 represented represent VERB cana-1477 60 16 a a DET cana-1477 60 17 genuine genuine ADJ cana-1477 60 18 anomaly anomaly NOUN cana-1477 60 19 or or CCONJ cana-1477 60 20 resulted result VERB cana-1477 60 21 from from ADP cana-1477 60 22 measurement measurement NOUN cana-1477 60 23 error error NOUN cana-1477 60 24 . . PUNCT cana-1477 61 1 we we PRON cana-1477 61 2 used use VERB cana-1477 61 3 winsorization winsorization NOUN cana-1477 61 4 , , PUNCT cana-1477 61 5 which which PRON cana-1477 61 6 replaces replace VERB cana-1477 61 7 outliers outlier NOUN cana-1477 61 8 with with ADP cana-1477 61 9 the the DET cana-1477 61 10 closest close ADJ cana-1477 61 11 acceptable acceptable ADJ cana-1477 61 12 value value NOUN cana-1477 61 13 when when SCONJ cana-1477 61 14 they they PRON cana-1477 61 15 are be AUX cana-1477 61 16 determined determined ADJ cana-1477 61 17 to to PART cana-1477 61 18 be be AUX cana-1477 61 19 valid valid ADJ cana-1477 61 20 extreme extreme ADJ cana-1477 61 21 values value NOUN cana-1477 61 22 . . PUNCT cana-1477 62 1 this this PRON cana-1477 62 2 preserves preserve VERB cana-1477 62 3 the the DET cana-1477 62 4 main main ADJ cana-1477 62 5 structure structure NOUN cana-1477 62 6 of of ADP cana-1477 62 7 the the DET cana-1477 62 8 data datum NOUN cana-1477 62 9 and and CCONJ cana-1477 62 10 lessens lessen VERB cana-1477 62 11 the the DET cana-1477 62 12 impact impact NOUN cana-1477 62 13 of of ADP cana-1477 62 14 extreme extreme ADJ cana-1477 62 15 values value NOUN cana-1477 62 16 on on ADP cana-1477 62 17 subsequent subsequent ADJ cana-1477 62 18 studies study NOUN cana-1477 62 19 ( ( PUNCT cana-1477 62 20 ghosh ghosh PROPN cana-1477 62 21 & & CCONJ cana-1477 62 22 vogt vogt PROPN cana-1477 62 23 , , PUNCT cana-1477 62 24 2012 2012 NUM cana-1477 62 25 ) ) PUNCT cana-1477 62 26 . . PUNCT cana-1477 63 1 figure figure NOUN cana-1477 63 2 1 1 NUM cana-1477 63 3 . . PUNCT cana-1477 64 1 outliers outlier NOUN cana-1477 64 2 in in ADP cana-1477 64 3 dataset dataset NOUN cana-1477 64 4 before before ADP cana-1477 64 5 applying apply VERB cana-1477 64 6 iqr iqr PROPN cana-1477 64 7 method method PROPN cana-1477 64 8 figure figure NOUN cana-1477 64 9 2 2 NUM cana-1477 64 10 . . PUNCT cana-1477 64 11 dataset dataset VERB cana-1477 64 12 after after ADP cana-1477 64 13 applying apply VERB cana-1477 64 14 iqr iqr PROPN cana-1477 64 15 method method NOUN cana-1477 64 16 . . PUNCT cana-1477 65 1 2.2.3 2.2.3 NUM cana-1477 65 2 data datum NOUN cana-1477 65 3 normalization normalization NOUN cana-1477 65 4 we we PRON cana-1477 65 5 used use VERB cana-1477 65 6 data datum NOUN cana-1477 65 7 normalization normalization NOUN cana-1477 65 8 to to PART cana-1477 65 9 make make VERB cana-1477 65 10 sure sure ADJ cana-1477 65 11 every every DET cana-1477 65 12 feature feature NOUN cana-1477 65 13 contributes contribute VERB cana-1477 65 14 equally equally ADV cana-1477 65 15 to to ADP cana-1477 65 16 the the DET cana-1477 65 17 model model NOUN cana-1477 65 18 and and CCONJ cana-1477 65 19 to to PART cana-1477 65 20 enhance enhance VERB cana-1477 65 21 the the DET cana-1477 65 22 svm svm PROPN cana-1477 65 23 algorithm algorithm NOUN cana-1477 65 24 's 's PART cana-1477 65 25 convergence convergence NOUN cana-1477 65 26 . . PUNCT cana-1477 66 1 the the DET cana-1477 66 2 min min PROPN cana-1477 66 3 - - ADJ cana-1477 66 4 max max ADJ cana-1477 66 5 scaling scaling NOUN cana-1477 66 6 technique technique NOUN cana-1477 66 7 was be AUX cana-1477 66 8 employed employ VERB cana-1477 66 9 , , PUNCT cana-1477 66 10 which which PRON cana-1477 66 11 sets set VERB cana-1477 66 12 the the DET cana-1477 66 13 scale scale NOUN cana-1477 66 14 for for ADP cana-1477 66 15 all all DET cana-1477 66 16 characteristics characteristic NOUN cana-1477 66 17 to to PART cana-1477 66 18 be be AUX cana-1477 66 19 between between ADP cana-1477 66 20 [ [ X cana-1477 66 21 0 0 NUM cana-1477 66 22 , , PUNCT cana-1477 66 23 1 1 NUM cana-1477 66 24 ] ] PUNCT cana-1477 66 25 . . PUNCT cana-1477 67 1 support support NOUN cana-1477 67 2 vector vector NOUN cana-1477 67 3 machines machine NOUN cana-1477 67 4 ( ( PUNCT cana-1477 67 5 svms svms NOUN cana-1477 67 6 ) ) PUNCT cana-1477 67 7 , , PUNCT cana-1477 67 8 a a DET cana-1477 67 9 method method NOUN cana-1477 67 10 that that PRON cana-1477 67 11 is be AUX cana-1477 67 12 sensitive sensitive ADJ cana-1477 67 13 to to ADP cana-1477 67 14 the the DET cana-1477 67 15 size size NOUN cana-1477 67 16 of of ADP cana-1477 67 17 input input NOUN cana-1477 67 18 features feature NOUN cana-1477 67 19 , , PUNCT cana-1477 67 20 benefit benefit VERB cana-1477 67 21 greatly greatly ADV cana-1477 67 22 from from ADP cana-1477 67 23 this this DET cana-1477 67 24 technique technique NOUN cana-1477 67 25 ( ( PUNCT cana-1477 67 26 aksoy aksoy PROPN cana-1477 67 27 & & CCONJ cana-1477 67 28 haralick haralick PROPN cana-1477 67 29 , , PUNCT cana-1477 67 30 2001 2001 NUM cana-1477 67 31 ) ) PUNCT cana-1477 67 32 . . PUNCT cana-1477 68 1 the the DET cana-1477 68 2 formula formula NOUN cana-1477 68 3 used use VERB cana-1477 68 4 was be AUX cana-1477 68 5 : : PUNCT cana-1477 68 6 𝑋_{π‘›π‘œπ‘Ÿπ‘šπ‘Žπ‘™π‘–π‘§π‘’π‘‘ 𝑋_{π‘›π‘œπ‘Ÿπ‘šπ‘Žπ‘™π‘–π‘§π‘’π‘‘ VERB cana-1477 68 7 } } PUNCT cana-1477 68 8 = = SYM cana-1477 69 1 \π‘“π‘Ÿπ‘Žπ‘{𝑋 \π‘“π‘Ÿπ‘Žπ‘{𝑋 PROPN cana-1477 69 2 βˆ’ βˆ’ PROPN cana-1477 69 3 𝑋_{π‘šπ‘–π‘›}}{𝑋_{π‘šπ‘Žπ‘₯ 𝑋_{π‘šπ‘–π‘›}}{𝑋_{π‘šπ‘Žπ‘₯ PROPN cana-1477 69 4 } } PUNCT cana-1477 69 5 βˆ’ βˆ’ PROPN cana-1477 69 6 𝑋_{π‘šπ‘–π‘› 𝑋_{π‘šπ‘–π‘› NOUN cana-1477 69 7 } } PUNCT cana-1477 69 8 } } PUNCT cana-1477 69 9 … … PUNCT cana-1477 69 10 … … SYM cana-1477 69 11 …… …… NOUN cana-1477 69 12 …… …… NOUN cana-1477 69 13 ( ( PUNCT cana-1477 69 14 1 1 X cana-1477 69 15 ) ) PUNCT cana-1477 69 16 communications communication NOUN cana-1477 69 17 on on ADP cana-1477 69 18 applied apply VERB cana-1477 69 19 nonlinear nonlinear ADJ cana-1477 69 20 analysis analysis NOUN cana-1477 69 21 issn issn NOUN cana-1477 69 22 : : PUNCT cana-1477 69 23 1074 1074 NUM cana-1477 69 24 - - PUNCT cana-1477 69 25 133x 133x NUM cana-1477 69 26 vol vol NOUN cana-1477 69 27 31 31 NUM cana-1477 69 28 no no NOUN cana-1477 69 29 . . PUNCT cana-1477 70 1 8s 8s PROPN cana-1477 70 2 ( ( PUNCT cana-1477 70 3 2024 2024 NUM cana-1477 70 4 ) ) PUNCT cana-1477 70 5 240 240 NUM cana-1477 70 6 https://internationalpubls.com https://internationalpubls.com X cana-1477 70 7 where where SCONJ cana-1477 70 8 x x PRON cana-1477 70 9 is be AUX cana-1477 70 10 the the DET cana-1477 70 11 original original ADJ cana-1477 70 12 value value NOUN cana-1477 70 13 , , PUNCT cana-1477 70 14 x_min x_min PROPN cana-1477 70 15 is be AUX cana-1477 70 16 the the DET cana-1477 70 17 minimum minimum ADJ cana-1477 70 18 value value NOUN cana-1477 70 19 of of ADP cana-1477 70 20 that that DET cana-1477 70 21 feature feature NOUN cana-1477 70 22 , , PUNCT cana-1477 70 23 and and CCONJ cana-1477 70 24 x_max x_max PROPN cana-1477 70 25 is be AUX cana-1477 70 26 the the DET cana-1477 70 27 maximum maximum ADJ cana-1477 70 28 value value NOUN cana-1477 70 29 of of ADP cana-1477 70 30 that that DET cana-1477 70 31 feature feature NOUN cana-1477 70 32 . . PUNCT cana-1477 71 1 2.3 2.3 NUM cana-1477 71 2 correlation correlation NOUN cana-1477 71 3 analysis analysis NOUN cana-1477 71 4 and and CCONJ cana-1477 71 5 feature feature NOUN cana-1477 71 6 selection selection NOUN cana-1477 71 7 we we PRON cana-1477 71 8 carried carry VERB cana-1477 71 9 out out ADP cana-1477 71 10 a a DET cana-1477 71 11 rigorous rigorous ADJ cana-1477 71 12 correlation correlation NOUN cana-1477 71 13 study study NOUN cana-1477 71 14 to to PART cana-1477 71 15 fully fully ADV cana-1477 71 16 comprehend comprehend VERB cana-1477 71 17 the the DET cana-1477 71 18 complex complex ADJ cana-1477 71 19 relationships relationship NOUN cana-1477 71 20 between between ADP cana-1477 71 21 variables variable NOUN cana-1477 71 22 and and CCONJ cana-1477 71 23 pinpoint pinpoint VERB cana-1477 71 24 the the DET cana-1477 71 25 most most ADV cana-1477 71 26 essential essential ADJ cana-1477 71 27 aspects aspect NOUN cana-1477 71 28 for for ADP cana-1477 71 29 our our PRON cana-1477 71 30 model model NOUN cana-1477 71 31 . . PUNCT cana-1477 72 1 in in ADP cana-1477 72 2 feature feature NOUN cana-1477 72 3 selection selection NOUN cana-1477 72 4 , , PUNCT cana-1477 72 5 this this DET cana-1477 72 6 step step NOUN cana-1477 72 7 is be AUX cana-1477 72 8 essential essential ADJ cana-1477 72 9 since since SCONJ cana-1477 72 10 it it PRON cana-1477 72 11 reduces reduce VERB cana-1477 72 12 dimensionality dimensionality NOUN cana-1477 72 13 and and CCONJ cana-1477 72 14 mitigates mitigate VERB cana-1477 72 15 multicollinearity multicollinearity NOUN cana-1477 72 16 , , PUNCT cana-1477 72 17 which which PRON cana-1477 72 18 can can AUX cana-1477 72 19 greatly greatly ADV cana-1477 72 20 enhance enhance VERB cana-1477 72 21 model model NOUN cana-1477 72 22 performance performance NOUN cana-1477 72 23 ( ( PUNCT cana-1477 72 24 guyon guyon PROPN cana-1477 72 25 & & CCONJ cana-1477 72 26 elisseeff elisseeff PROPN cana-1477 72 27 , , PUNCT cana-1477 72 28 2003 2003 NUM cana-1477 72 29 ) ) PUNCT cana-1477 72 30 . . PUNCT cana-1477 73 1 a a DET cana-1477 73 2 commonly commonly ADV cana-1477 73 3 used use VERB cana-1477 73 4 indicator indicator NOUN cana-1477 73 5 of of ADP cana-1477 73 6 the the DET cana-1477 73 7 linear linear ADJ cana-1477 73 8 correlation correlation NOUN cana-1477 73 9 between between ADP cana-1477 73 10 two two NUM cana-1477 73 11 variables variable NOUN cana-1477 73 12 , , PUNCT cana-1477 73 13 the the DET cana-1477 73 14 pearson pearson PROPN cana-1477 73 15 correlation correlation NOUN cana-1477 73 16 coefficient coefficient NOUN cana-1477 73 17 was be AUX cana-1477 73 18 utilized utilize VERB cana-1477 73 19 by by ADP cana-1477 73 20 us we PRON cana-1477 73 21 ( ( PUNCT cana-1477 73 22 benesty benesty NOUN cana-1477 73 23 et et PROPN cana-1477 73 24 al al PROPN cana-1477 73 25 . . PROPN cana-1477 73 26 , , PUNCT cana-1477 73 27 2009 2009 NUM cana-1477 73 28 ) ) PUNCT cana-1477 73 29 . . PUNCT cana-1477 74 1 because because SCONJ cana-1477 74 2 it it PRON cana-1477 74 3 can can AUX cana-1477 74 4 record record VERB cana-1477 74 5 both both DET cana-1477 74 6 the the DET cana-1477 74 7 direction direction NOUN cana-1477 74 8 and and CCONJ cana-1477 74 9 intensity intensity NOUN cana-1477 74 10 of of ADP cana-1477 74 11 correlations correlation NOUN cana-1477 74 12 between between ADP cana-1477 74 13 continuous continuous ADJ cana-1477 74 14 variables variable NOUN cana-1477 74 15 β€” β€” PUNCT cana-1477 74 16 a a DET cana-1477 74 17 crucial crucial ADJ cana-1477 74 18 characteristic characteristic NOUN cana-1477 74 19 in in ADP cana-1477 74 20 medical medical ADJ cana-1477 74 21 datasets dataset NOUN cana-1477 74 22 such such ADJ cana-1477 74 23 as as ADP cana-1477 74 24 ours our NOUN cana-1477 74 25 β€” β€” PUNCT cana-1477 74 26 this this DET cana-1477 74 27 approach approach NOUN cana-1477 74 28 was be AUX cana-1477 74 29 selected select VERB cana-1477 74 30 ( ( PUNCT cana-1477 74 31 schober schober PROPN cana-1477 74 32 et et PROPN cana-1477 74 33 al al PROPN cana-1477 74 34 . . PROPN cana-1477 74 35 , , PUNCT cana-1477 74 36 2018 2018 NUM cana-1477 74 37 ) ) PUNCT cana-1477 74 38 . . PUNCT cana-1477 75 1 including include VERB cana-1477 75 2 the the DET cana-1477 75 3 target target NOUN cana-1477 75 4 variable variable NOUN cana-1477 75 5 ( ( PUNCT cana-1477 75 6 outcome outcome NOUN cana-1477 75 7 ) ) PUNCT cana-1477 75 8 , , PUNCT cana-1477 75 9 we we PRON cana-1477 75 10 computed compute VERB cana-1477 75 11 the the DET cana-1477 75 12 pearson pearson PROPN cana-1477 75 13 correlation correlation NOUN cana-1477 75 14 coefficient coefficient NOUN cana-1477 75 15 between between ADP cana-1477 75 16 each each DET cana-1477 75 17 pair pair NOUN cana-1477 75 18 of of ADP cana-1477 75 19 attributes attribute NOUN cana-1477 75 20 . . PUNCT cana-1477 76 1 with with ADP cana-1477 76 2 the the DET cana-1477 76 3 help help NOUN cana-1477 76 4 of of ADP cana-1477 76 5 this this DET cana-1477 76 6 paired pair VERB cana-1477 76 7 method method NOUN cana-1477 76 8 , , PUNCT cana-1477 76 9 we we PRON cana-1477 76 10 were be AUX cana-1477 76 11 able able ADJ cana-1477 76 12 to to PART cana-1477 76 13 investigate investigate VERB cana-1477 76 14 not not PART cana-1477 76 15 only only ADV cana-1477 76 16 the the DET cana-1477 76 17 relationship relationship NOUN cana-1477 76 18 between between ADP cana-1477 76 19 each each DET cana-1477 76 20 feature feature NOUN cana-1477 76 21 and and CCONJ cana-1477 76 22 the the DET cana-1477 76 23 target target NOUN cana-1477 76 24 variable variable NOUN cana-1477 76 25 , , PUNCT cana-1477 76 26 but but CCONJ cana-1477 76 27 also also ADV cana-1477 76 28 the the DET cana-1477 76 29 relationship relationship NOUN cana-1477 76 30 between between ADP cana-1477 76 31 features feature NOUN cana-1477 76 32 , , PUNCT cana-1477 76 33 giving give VERB cana-1477 76 34 us we PRON cana-1477 76 35 a a DET cana-1477 76 36 comprehensive comprehensive ADJ cana-1477 76 37 understanding understanding NOUN cana-1477 76 38 of of ADP cana-1477 76 39 the the DET cana-1477 76 40 structure structure NOUN cana-1477 76 41 of of ADP cana-1477 76 42 the the DET cana-1477 76 43 dataset dataset NOUN cana-1477 76 44 . . PUNCT cana-1477 77 1 1 1 X cana-1477 77 2 . . X cana-1477 77 3 we we PRON cana-1477 77 4 calculated calculate VERB cana-1477 77 5 the the DET cana-1477 77 6 pearson pearson NOUN cana-1477 77 7 correlation correlation NOUN cana-1477 77 8 coefficient coefficient NOUN cana-1477 77 9 between between ADP cana-1477 77 10 all all DET cana-1477 77 11 pairs pair NOUN cana-1477 77 12 of of ADP cana-1477 77 13 features feature NOUN cana-1477 77 14 , , PUNCT cana-1477 77 15 including include VERB cana-1477 77 16 the the DET cana-1477 77 17 target target NOUN cana-1477 77 18 variable variable NOUN cana-1477 77 19 ( ( PUNCT cana-1477 77 20 outcome outcome NOUN cana-1477 77 21 ) ) PUNCT cana-1477 77 22 . . PUNCT cana-1477 78 1 a a DET cana-1477 78 2 correlation correlation NOUN cana-1477 78 3 matrix matrix NOUN cana-1477 78 4 was be AUX cana-1477 78 5 generated generate VERB cana-1477 78 6 to to PART cana-1477 78 7 visualize visualize VERB cana-1477 78 8 these these DET cana-1477 78 9 relationships relationship NOUN cana-1477 78 10 . . PUNCT cana-1477 79 1 this this DET cana-1477 79 2 matrix matrix NOUN cana-1477 79 3 helped help VERB cana-1477 79 4 us we PRON cana-1477 79 5 identify identify VERB cana-1477 79 6 highly highly ADV cana-1477 79 7 correlated correlate VERB cana-1477 79 8 features feature NOUN cana-1477 79 9 and and CCONJ cana-1477 79 10 features feature NOUN cana-1477 79 11 with with ADP cana-1477 79 12 strong strong ADJ cana-1477 79 13 correlations correlation NOUN cana-1477 79 14 to to ADP cana-1477 79 15 the the DET cana-1477 79 16 target target NOUN cana-1477 79 17 variable variable NOUN cana-1477 79 18 . . PUNCT cana-1477 80 1 based base VERB cana-1477 80 2 on on ADP cana-1477 80 3 the the DET cana-1477 80 4 correlation correlation NOUN cana-1477 80 5 analysis analysis NOUN cana-1477 80 6 and and CCONJ cana-1477 80 7 domain domain NOUN cana-1477 80 8 knowledge knowledge NOUN cana-1477 80 9 , , PUNCT cana-1477 80 10 we we PRON cana-1477 80 11 selected select VERB cana-1477 80 12 the the DET cana-1477 80 13 following follow VERB cana-1477 80 14 features feature NOUN cana-1477 80 15 as as ADP cana-1477 80 16 the the DET cana-1477 80 17 most most ADV cana-1477 80 18 relevant relevant ADJ cana-1477 80 19 for for ADP cana-1477 80 20 our our PRON cana-1477 80 21 diabetes diabetes NOUN cana-1477 80 22 prediction prediction NOUN cana-1477 80 23 model model NOUN cana-1477 80 24 : : PUNCT cana-1477 80 25 β—‹ β—‹ ADJ cana-1477 80 26 glucose glucose NOUN cana-1477 80 27 β—‹ β—‹ PROPN cana-1477 80 28 bloodpressure bloodpressure PROPN cana-1477 80 29 β—‹ β—‹ PROPN cana-1477 80 30 skinthickness skinthickness PROPN cana-1477 80 31 β—‹ β—‹ PROPN cana-1477 80 32 bmi bmi PROPN cana-1477 80 33 β—‹ β—‹ PROPN cana-1477 80 34 diabetespedigreefunction diabetespedigreefunction PROPN cana-1477 80 35 β—‹ β—‹ PROPN cana-1477 80 36 age age NOUN cana-1477 80 37 2 2 NUM cana-1477 80 38 . . PUNCT cana-1477 81 1 the the DET cana-1477 81 2 ' ' PUNCT cana-1477 81 3 pregnancies pregnancy NOUN cana-1477 81 4 ' ' PART cana-1477 81 5 feature feature NOUN cana-1477 81 6 was be AUX cana-1477 81 7 removed remove VERB cana-1477 81 8 due due ADP cana-1477 81 9 to to ADP cana-1477 81 10 its its PRON cana-1477 81 11 lower low ADJ cana-1477 81 12 correlation correlation NOUN cana-1477 81 13 with with ADP cana-1477 81 14 the the DET cana-1477 81 15 outcome outcome NOUN cana-1477 81 16 and and CCONJ cana-1477 81 17 potential potential NOUN cana-1477 81 18 for for ADP cana-1477 81 19 introducing introduce VERB cana-1477 81 20 bias bias NOUN cana-1477 81 21 in in ADP cana-1477 81 22 the the DET cana-1477 81 23 model model NOUN cana-1477 81 24 . . PUNCT cana-1477 82 1 3 3 X cana-1477 82 2 . . X cana-1477 82 3 because because SCONJ cana-1477 82 4 of of ADP cana-1477 82 5 the the DET cana-1477 82 6 ' ' PUNCT cana-1477 82 7 insulin insulin NOUN cana-1477 82 8 ' ' PUNCT cana-1477 82 9 feature feature NOUN cana-1477 82 10 's 's PART cana-1477 82 11 strong strong ADJ cana-1477 82 12 association association NOUN cana-1477 82 13 with with ADP cana-1477 82 14 glucose glucose NOUN cana-1477 82 15 , , PUNCT cana-1477 82 16 which which PRON cana-1477 82 17 may may AUX cana-1477 82 18 cause cause VERB cana-1477 82 19 multicollinearity multicollinearity NOUN cana-1477 82 20 problems problem NOUN cana-1477 82 21 in in ADP cana-1477 82 22 the the DET cana-1477 82 23 model model NOUN cana-1477 82 24 , , PUNCT cana-1477 82 25 it it PRON cana-1477 82 26 was be AUX cana-1477 82 27 also also ADV cana-1477 82 28 eliminated eliminate VERB cana-1477 82 29 . . PUNCT cana-1477 83 1 communications communication NOUN cana-1477 83 2 on on ADP cana-1477 83 3 applied apply VERB cana-1477 83 4 nonlinear nonlinear ADJ cana-1477 83 5 analysis analysis NOUN cana-1477 83 6 issn issn NOUN cana-1477 83 7 : : PUNCT cana-1477 83 8 1074 1074 NUM cana-1477 83 9 - - PUNCT cana-1477 83 10 133x 133x NUM cana-1477 83 11 vol vol NOUN cana-1477 83 12 31 31 NUM cana-1477 83 13 no no NOUN cana-1477 83 14 . . PUNCT cana-1477 84 1 8s 8s PROPN cana-1477 84 2 ( ( PUNCT cana-1477 84 3 2024 2024 NUM cana-1477 84 4 ) ) PUNCT cana-1477 84 5 241 241 NUM cana-1477 84 6 https://internationalpubls.com https://internationalpubls.com X cana-1477 84 7 figure figure NOUN cana-1477 84 8 3 3 NUM cana-1477 84 9 . . PUNCT cana-1477 84 10 correlation correlation NOUN cana-1477 84 11 analysis analysis NOUN cana-1477 84 12 between between ADP cana-1477 84 13 different different ADJ cana-1477 84 14 values value NOUN cana-1477 84 15 in in ADP cana-1477 84 16 dataset dataset NOUN cana-1477 84 17 this this DET cana-1477 84 18 feature feature NOUN cana-1477 84 19 selection selection NOUN cana-1477 84 20 process process NOUN cana-1477 84 21 helped help VERB cana-1477 84 22 to to PART cana-1477 84 23 reduce reduce VERB cana-1477 84 24 the the DET cana-1477 84 25 dimensionality dimensionality NOUN cana-1477 84 26 of of ADP cana-1477 84 27 our our PRON cana-1477 84 28 dataset dataset NOUN cana-1477 84 29 , , PUNCT cana-1477 84 30 potentially potentially ADV cana-1477 84 31 improving improve VERB cana-1477 84 32 model model NOUN cana-1477 84 33 performance performance NOUN cana-1477 84 34 and and CCONJ cana-1477 84 35 reducing reduce VERB cana-1477 84 36 overfitting overfitting NOUN cana-1477 84 37 . . PUNCT cana-1477 85 1 it it PRON cana-1477 85 2 also also ADV cana-1477 85 3 allows allow VERB cana-1477 85 4 us we PRON cana-1477 85 5 to to PART cana-1477 85 6 focus focus VERB cana-1477 85 7 on on ADP cana-1477 85 8 the the DET cana-1477 85 9 most most ADV cana-1477 85 10 clinically clinically ADV cana-1477 85 11 relevant relevant ADJ cana-1477 85 12 factors factor NOUN cana-1477 85 13 for for ADP cana-1477 85 14 diabetes diabetes NOUN cana-1477 85 15 prediction prediction NOUN cana-1477 85 16 . . PUNCT cana-1477 86 1 the the DET cana-1477 86 2 reduced reduce VERB cana-1477 86 3 feature feature NOUN cana-1477 86 4 set set NOUN cana-1477 86 5 maintains maintain VERB cana-1477 86 6 a a DET cana-1477 86 7 balance balance NOUN cana-1477 86 8 between between ADP cana-1477 86 9 physiological physiological ADJ cana-1477 86 10 measurements measurement NOUN cana-1477 86 11 ( ( PUNCT cana-1477 86 12 glucose glucose NOUN cana-1477 86 13 , , PUNCT cana-1477 86 14 bloodpressure bloodpressure NOUN cana-1477 86 15 , , PUNCT cana-1477 86 16 skinthickness skinthickness PROPN cana-1477 86 17 , , PUNCT cana-1477 86 18 bmi bmi PROPN cana-1477 86 19 ) ) PUNCT cana-1477 86 20 , , PUNCT cana-1477 86 21 genetic genetic ADJ cana-1477 86 22 predisposition predisposition NOUN cana-1477 86 23 ( ( PUNCT cana-1477 86 24 diabetespedigreefunction diabetespedigreefunction NOUN cana-1477 86 25 ) ) PUNCT cana-1477 86 26 , , PUNCT cana-1477 86 27 and and CCONJ cana-1477 86 28 demographic demographic ADJ cana-1477 86 29 information information NOUN cana-1477 86 30 ( ( PUNCT cana-1477 86 31 age age NOUN cana-1477 86 32 ) ) PUNCT cana-1477 86 33 , , PUNCT cana-1477 86 34 providing provide VERB cana-1477 86 35 a a DET cana-1477 86 36 comprehensive comprehensive ADJ cana-1477 86 37 yet yet ADV cana-1477 86 38 focused focused ADJ cana-1477 86 39 input input NOUN cana-1477 86 40 for for ADP cana-1477 86 41 our our PRON cana-1477 86 42 svm svm ADJ cana-1477 86 43 model model NOUN cana-1477 86 44 . . PUNCT cana-1477 87 1 2.4 2.4 NUM cana-1477 87 2 support support NOUN cana-1477 87 3 vector vector NOUN cana-1477 87 4 machine machine NOUN cana-1477 87 5 ( ( PUNCT cana-1477 87 6 svm svm PROPN cana-1477 87 7 ) ) PUNCT cana-1477 87 8 model model NOUN cana-1477 87 9 we we PRON cana-1477 87 10 implemented implement VERB cana-1477 87 11 a a DET cana-1477 87 12 support support NOUN cana-1477 87 13 vector vector NOUN cana-1477 87 14 machine machine NOUN cana-1477 87 15 ( ( PUNCT cana-1477 87 16 svm svm ADJ cana-1477 87 17 ) ) PUNCT cana-1477 87 18 classifier classifier NOUN cana-1477 87 19 for for ADP cana-1477 87 20 this this DET cana-1477 87 21 study study NOUN cana-1477 87 22 , , PUNCT cana-1477 87 23 a a DET cana-1477 87 24 choice choice NOUN cana-1477 87 25 motivated motivate VERB cana-1477 87 26 by by ADP cana-1477 87 27 its its PRON cana-1477 87 28 robust robust ADJ cana-1477 87 29 performance performance NOUN cana-1477 87 30 in in ADP cana-1477 87 31 complex complex ADJ cana-1477 87 32 classification classification NOUN cana-1477 87 33 tasks task NOUN cana-1477 87 34 and and CCONJ cana-1477 87 35 its its PRON cana-1477 87 36 ability ability NOUN cana-1477 87 37 to to PART cana-1477 87 38 handle handle VERB cana-1477 87 39 high high ADJ cana-1477 87 40 - - PUNCT cana-1477 87 41 dimensional dimensional ADJ cana-1477 87 42 data datum NOUN cana-1477 87 43 effectively effectively ADV cana-1477 87 44 ( ( PUNCT cana-1477 87 45 cortes corte NOUN cana-1477 87 46 & & CCONJ cana-1477 87 47 vapnik vapnik X cana-1477 87 48 , , PUNCT cana-1477 87 49 1995 1995 NUM cana-1477 87 50 ) ) PUNCT cana-1477 87 51 . . PUNCT cana-1477 88 1 svms svms NOUN cana-1477 88 2 are be AUX cana-1477 88 3 particularly particularly ADV cana-1477 88 4 well well ADV cana-1477 88 5 - - PUNCT cana-1477 88 6 suited suit VERB cana-1477 88 7 for for ADP cana-1477 88 8 medical medical ADJ cana-1477 88 9 diagnostic diagnostic ADJ cana-1477 88 10 applications application NOUN cana-1477 88 11 due due ADP cana-1477 88 12 to to ADP cana-1477 88 13 their their PRON cana-1477 88 14 capacity capacity NOUN cana-1477 88 15 to to PART cana-1477 88 16 find find VERB cana-1477 88 17 optimal optimal ADJ cana-1477 88 18 separating separate VERB cana-1477 88 19 hyperplanes hyperplane NOUN cana-1477 88 20 in in ADP cana-1477 88 21 feature feature NOUN cana-1477 88 22 space space NOUN cana-1477 88 23 , , PUNCT cana-1477 88 24 even even ADV cana-1477 88 25 when when SCONJ cana-1477 88 26 classes class NOUN cana-1477 88 27 are be AUX cana-1477 88 28 not not PART cana-1477 88 29 linearly linearly ADV cana-1477 88 30 separable separable ADJ cana-1477 88 31 ( ( PUNCT cana-1477 88 32 noble noble ADJ cana-1477 88 33 , , PUNCT cana-1477 88 34 2006 2006 NUM cana-1477 88 35 ) ) PUNCT cana-1477 88 36 . . PUNCT cana-1477 89 1 the the DET cana-1477 89 2 svm svm PROPN cana-1477 89 3 algorithm algorithm NOUN cana-1477 89 4 's 's PART cana-1477 89 5 effectiveness effectiveness NOUN cana-1477 89 6 in in ADP cana-1477 89 7 high high ADJ cana-1477 89 8 - - PUNCT cana-1477 89 9 dimensional dimensional ADJ cana-1477 89 10 spaces space NOUN cana-1477 89 11 stems stem VERB cana-1477 89 12 from from ADP cana-1477 89 13 its its PRON cana-1477 89 14 use use NOUN cana-1477 89 15 of of ADP cana-1477 89 16 kernel kernel NOUN cana-1477 89 17 functions function NOUN cana-1477 89 18 , , PUNCT cana-1477 89 19 which which PRON cana-1477 89 20 implicitly implicitly ADV cana-1477 89 21 map map VERB cana-1477 89 22 input input NOUN cana-1477 89 23 data datum NOUN cana-1477 89 24 into into ADP cana-1477 89 25 higher high ADJ cana-1477 89 26 - - PUNCT cana-1477 89 27 dimensional dimensional ADJ cana-1477 89 28 feature feature NOUN cana-1477 89 29 spaces space NOUN cana-1477 89 30 without without ADP cana-1477 89 31 explicitly explicitly ADV cana-1477 89 32 computing compute VERB cana-1477 89 33 the the DET cana-1477 89 34 coordinates coordinate NOUN cana-1477 89 35 of of ADP cana-1477 89 36 the the DET cana-1477 89 37 data datum NOUN cana-1477 89 38 in in ADP cana-1477 89 39 that that DET cana-1477 89 40 space space NOUN cana-1477 89 41 ( ( PUNCT cana-1477 89 42 hofmann hofmann PROPN cana-1477 89 43 et et PROPN cana-1477 89 44 al al PROPN cana-1477 89 45 . . PROPN cana-1477 89 46 , , PUNCT cana-1477 89 47 2008 2008 NUM cana-1477 89 48 ) ) PUNCT cana-1477 89 49 . . PUNCT cana-1477 90 1 this this DET cana-1477 90 2 " " PUNCT cana-1477 90 3 kernel kernel NOUN cana-1477 90 4 trick trick NOUN cana-1477 90 5 " " PUNCT cana-1477 90 6 allows allow VERB cana-1477 90 7 svms svms NOUN cana-1477 90 8 to to PART cana-1477 90 9 capture capture VERB cana-1477 90 10 complex complex ADJ cana-1477 90 11 , , PUNCT cana-1477 90 12 non non ADJ cana-1477 90 13 - - ADJ cana-1477 90 14 linear linear ADJ cana-1477 90 15 relationships relationship NOUN cana-1477 90 16 between between ADP cana-1477 90 17 features feature NOUN cana-1477 90 18 , , PUNCT cana-1477 90 19 making make VERB cana-1477 90 20 them they PRON cana-1477 90 21 versatile versatile ADJ cana-1477 90 22 for for ADP cana-1477 90 23 a a DET cana-1477 90 24 wide wide ADJ cana-1477 90 25 range range NOUN cana-1477 90 26 of of ADP cana-1477 90 27 data data NOUN cana-1477 90 28 distributions distribution NOUN cana-1477 90 29 ( ( PUNCT cana-1477 90 30 schΓΆlkopf schΓΆlkopf NOUN cana-1477 90 31 & & CCONJ cana-1477 90 32 smola smola PROPN cana-1477 90 33 , , PUNCT cana-1477 90 34 2002 2002 NUM cana-1477 90 35 ) ) PUNCT cana-1477 90 36 . . PUNCT cana-1477 91 1 moreover moreover ADV cana-1477 91 2 , , PUNCT cana-1477 91 3 svms svms NOUN cana-1477 91 4 have have AUX cana-1477 91 5 demonstrated demonstrate VERB cana-1477 91 6 superior superior ADJ cana-1477 91 7 generalization generalization NOUN cana-1477 91 8 performance performance NOUN cana-1477 91 9 compared compare VERB cana-1477 91 10 to to ADP cana-1477 91 11 many many ADJ cana-1477 91 12 other other ADJ cana-1477 91 13 machine machine NOUN cana-1477 91 14 learning learn VERB cana-1477 91 15 algorithms algorithm NOUN cana-1477 91 16 , , PUNCT cana-1477 91 17 especially especially ADV cana-1477 91 18 in in ADP cana-1477 91 19 scenarios scenario NOUN cana-1477 91 20 with with ADP cana-1477 91 21 limited limited ADJ cana-1477 91 22 training training NOUN cana-1477 91 23 data datum NOUN cana-1477 91 24 ( ( PUNCT cana-1477 91 25 ben ben PROPN cana-1477 91 26 - - PUNCT cana-1477 91 27 hur hur PROPN cana-1477 91 28 et et PROPN cana-1477 91 29 al al PROPN cana-1477 91 30 . . PROPN cana-1477 91 31 , , PUNCT cana-1477 91 32 2008 2008 NUM cana-1477 91 33 ) ) PUNCT cana-1477 91 34 . . PUNCT cana-1477 92 1 this this DET cana-1477 92 2 characteristic characteristic NOUN cana-1477 92 3 is be AUX cana-1477 92 4 particularly particularly ADV cana-1477 92 5 valuable valuable ADJ cana-1477 92 6 in in ADP cana-1477 92 7 medical medical ADJ cana-1477 92 8 diagnostics diagnostic NOUN cana-1477 92 9 , , PUNCT cana-1477 92 10 where where SCONJ cana-1477 92 11 large large ADJ cana-1477 92 12 , , PUNCT cana-1477 92 13 labeled label VERB cana-1477 92 14 datasets dataset NOUN cana-1477 92 15 are be AUX cana-1477 92 16 often often ADV cana-1477 92 17 challenging challenge VERB cana-1477 92 18 to to PART cana-1477 92 19 obtain obtain VERB cana-1477 92 20 . . PUNCT cana-1477 93 1 to to PART cana-1477 93 2 find find VERB cana-1477 93 3 the the DET cana-1477 93 4 best good ADJ cana-1477 93 5 configuration configuration NOUN cana-1477 93 6 for for ADP cana-1477 93 7 our our PRON cana-1477 93 8 diabetes diabetes NOUN cana-1477 93 9 prediction prediction NOUN cana-1477 93 10 task task NOUN cana-1477 93 11 , , PUNCT cana-1477 93 12 we we PRON cana-1477 93 13 experimented experiment VERB cana-1477 93 14 with with ADP cana-1477 93 15 different different ADJ cana-1477 93 16 kernel kernel NOUN cana-1477 93 17 functions function NOUN cana-1477 93 18 in in ADP cana-1477 93 19 our our PRON cana-1477 93 20 implementation implementation NOUN cana-1477 93 21 , , PUNCT cana-1477 93 22 such such ADJ cana-1477 93 23 as as ADP cana-1477 93 24 polynomial polynomial ADJ cana-1477 93 25 , , PUNCT cana-1477 93 26 radial radial ADJ cana-1477 93 27 basis basis NOUN cana-1477 93 28 function function NOUN cana-1477 93 29 ( ( PUNCT cana-1477 93 30 rbf rbf PROPN cana-1477 93 31 ) ) PUNCT cana-1477 93 32 , , PUNCT cana-1477 93 33 and and CCONJ cana-1477 93 34 linear linear ADJ cana-1477 93 35 kernels kernel NOUN cana-1477 93 36 ( ( PUNCT cana-1477 93 37 hsu hsu PROPN cana-1477 93 38 et et PROPN cana-1477 93 39 al al PROPN cana-1477 93 40 . . PROPN cana-1477 93 41 , , PUNCT cana-1477 93 42 2003 2003 NUM cana-1477 93 43 ) ) PUNCT cana-1477 93 44 . . PUNCT cana-1477 94 1 we we PRON cana-1477 94 2 were be AUX cana-1477 94 3 able able ADJ cana-1477 94 4 to to PART cana-1477 94 5 customize customize VERB cana-1477 94 6 the the DET cana-1477 94 7 svm svm NOUN cana-1477 94 8 to to ADP cana-1477 94 9 the the DET cana-1477 94 10 unique unique ADJ cana-1477 94 11 features feature NOUN cana-1477 94 12 of of ADP cana-1477 94 13 our our PRON cana-1477 94 14 dataset dataset ADJ cana-1477 94 15 thanks thank NOUN cana-1477 94 16 to to ADP cana-1477 94 17 the the DET cana-1477 94 18 freedom freedom NOUN cana-1477 94 19 to to PART cana-1477 94 20 select select VERB cana-1477 94 21 and and CCONJ cana-1477 94 22 adjust adjust VERB cana-1477 94 23 these these DET cana-1477 94 24 kernel kernel NOUN cana-1477 94 25 functions function NOUN cana-1477 94 26 , , PUNCT cana-1477 94 27 which which PRON cana-1477 94 28 may may AUX cana-1477 94 29 have have AUX cana-1477 94 30 increased increase VERB cana-1477 94 31 the the DET cana-1477 94 32 robustness robustness NOUN cana-1477 94 33 and and CCONJ cana-1477 94 34 accuracy accuracy NOUN cana-1477 94 35 of of ADP cana-1477 94 36 our our PRON cana-1477 94 37 classification classification NOUN cana-1477 94 38 . . PUNCT cana-1477 95 1 communications communication NOUN cana-1477 95 2 on on ADP cana-1477 95 3 applied apply VERB cana-1477 95 4 nonlinear nonlinear ADJ cana-1477 95 5 analysis analysis NOUN cana-1477 95 6 issn issn NOUN cana-1477 95 7 : : PUNCT cana-1477 95 8 1074 1074 NUM cana-1477 95 9 - - PUNCT cana-1477 95 10 133x 133x NUM cana-1477 95 11 vol vol NOUN cana-1477 95 12 31 31 NUM cana-1477 95 13 no no NOUN cana-1477 95 14 . . PUNCT cana-1477 96 1 8s 8s PROPN cana-1477 96 2 ( ( PUNCT cana-1477 96 3 2024 2024 NUM cana-1477 96 4 ) ) PUNCT cana-1477 96 5 242 242 NUM cana-1477 96 6 https://internationalpubls.com https://internationalpubls.com SYM cana-1477 96 7 2.4.1 2.4.1 NUM cana-1477 96 8 kernel kernel NOUN cana-1477 96 9 selection selection NOUN cana-1477 96 10 we we PRON cana-1477 96 11 conducted conduct VERB cana-1477 96 12 experiments experiment NOUN cana-1477 96 13 using use VERB cana-1477 96 14 several several ADJ cana-1477 96 15 kernel kernel NOUN cana-1477 96 16 functions function NOUN cana-1477 96 17 , , PUNCT cana-1477 96 18 such such ADJ cana-1477 96 19 as as ADP cana-1477 96 20 polynomial polynomial ADJ cana-1477 96 21 , , PUNCT cana-1477 96 22 radial radial ADJ cana-1477 96 23 basis basis NOUN cana-1477 96 24 function function NOUN cana-1477 96 25 ( ( PUNCT cana-1477 96 26 rbf rbf PROPN cana-1477 96 27 ) ) PUNCT cana-1477 96 28 , , PUNCT cana-1477 96 29 and and CCONJ cana-1477 96 30 linear linear ADJ cana-1477 96 31 kernels kernel NOUN cana-1477 96 32 . . PUNCT cana-1477 97 1 every every DET cana-1477 97 2 kernel kernel NOUN cana-1477 97 3 's 's PART cana-1477 97 4 performance performance NOUN cana-1477 97 5 was be AUX cana-1477 97 6 assessed assess VERB cana-1477 97 7 , , PUNCT cana-1477 97 8 and and CCONJ cana-1477 97 9 the the DET cana-1477 97 10 top top ADV cana-1477 97 11 - - PUNCT cana-1477 97 12 performing perform VERB cana-1477 97 13 kernel kernel NOUN cana-1477 97 14 was be AUX cana-1477 97 15 chosen choose VERB cana-1477 97 16 to to PART cana-1477 97 17 be be AUX cana-1477 97 18 included include VERB cana-1477 97 19 in in ADP cana-1477 97 20 the the DET cana-1477 97 21 final final ADJ cana-1477 97 22 model model NOUN cana-1477 97 23 . . PUNCT cana-1477 98 1 2.4.2 2.4.2 NUM cana-1477 98 2 hyperparameter hyperparameter NOUN cana-1477 98 3 tuning tune VERB cana-1477 98 4 we we PRON cana-1477 98 5 used use VERB cana-1477 98 6 grid grid NOUN cana-1477 98 7 search search NOUN cana-1477 98 8 with with ADP cana-1477 98 9 cross cross NOUN cana-1477 98 10 - - ADJ cana-1477 98 11 validation validation NOUN cana-1477 98 12 to to PART cana-1477 98 13 perform perform VERB cana-1477 98 14 hyperparameter hyperparameter NOUN cana-1477 98 15 adjustment adjustment NOUN cana-1477 98 16 , , PUNCT cana-1477 98 17 which which PRON cana-1477 98 18 improved improve VERB cana-1477 98 19 the the DET cana-1477 98 20 performance performance NOUN cana-1477 98 21 of of ADP cana-1477 98 22 the the DET cana-1477 98 23 svm svm ADJ cana-1477 98 24 model model NOUN cana-1477 98 25 . . PUNCT cana-1477 99 1 the the DET cana-1477 99 2 key key ADJ cana-1477 99 3 hyperparameters hyperparameter NOUN cana-1477 99 4 tuned tune VERB cana-1477 99 5 were be AUX cana-1477 99 6 : : PUNCT cana-1477 99 7 c c X cana-1477 99 8 ( ( PUNCT cana-1477 99 9 regularization regularization NOUN cana-1477 99 10 parameter parameter NOUN cana-1477 99 11 ) ) PUNCT cana-1477 99 12 gamma gamma NOUN cana-1477 99 13 ( ( PUNCT cana-1477 99 14 kernel kernel PROPN cana-1477 99 15 coefficient coefficient NOUN cana-1477 99 16 for for ADP cana-1477 99 17 ' ' PUNCT cana-1477 99 18 rbf rbf PROPN cana-1477 99 19 ' ' PROPN cana-1477 99 20 , , PUNCT cana-1477 99 21 ' ' PUNCT cana-1477 99 22 poly poly ADJ cana-1477 99 23 ' ' PUNCT cana-1477 99 24 and and CCONJ cana-1477 99 25 ' ' PUNCT cana-1477 99 26 sigmoid sigmoid NOUN cana-1477 99 27 ' ' PUNCT cana-1477 99 28 kernels kernel NOUN cana-1477 99 29 ) ) PUNCT cana-1477 99 30 degree degree NOUN cana-1477 99 31 ( ( PUNCT cana-1477 99 32 degree degree NOUN cana-1477 99 33 of of ADP cana-1477 99 34 the the DET cana-1477 99 35 polynomial polynomial ADJ cana-1477 99 36 kernel kernel PROPN cana-1477 99 37 function function PROPN cana-1477 99 38 ) ) PUNCT cana-1477 99 39 2.5 2.5 NUM cana-1477 99 40 model model NOUN cana-1477 99 41 training training NOUN cana-1477 99 42 and and CCONJ cana-1477 99 43 validation validation NOUN cana-1477 99 44 we we PRON cana-1477 99 45 employed employ VERB cana-1477 99 46 a a DET cana-1477 99 47 k k ADJ cana-1477 99 48 - - ADJ cana-1477 99 49 fold fold ADJ cana-1477 99 50 cross cross ADJ cana-1477 99 51 - - ADJ cana-1477 99 52 validation validation ADJ cana-1477 99 53 strategy strategy NOUN cana-1477 99 54 to to PART cana-1477 99 55 train train VERB cana-1477 99 56 and and CCONJ cana-1477 99 57 validate validate VERB cana-1477 99 58 our our PRON cana-1477 99 59 model model NOUN cana-1477 99 60 . . PUNCT cana-1477 100 1 the the DET cana-1477 100 2 dataset dataset NOUN cana-1477 100 3 was be AUX cana-1477 100 4 split split VERB cana-1477 100 5 into into ADP cana-1477 100 6 k k PROPN cana-1477 100 7 subsets subset NOUN cana-1477 100 8 , , PUNCT cana-1477 100 9 and and CCONJ cana-1477 100 10 the the DET cana-1477 100 11 model model NOUN cana-1477 100 12 was be AUX cana-1477 100 13 trained train VERB cana-1477 100 14 k k PROPN cana-1477 100 15 times time NOUN cana-1477 100 16 , , PUNCT cana-1477 100 17 each each DET cana-1477 100 18 time time NOUN cana-1477 100 19 using use VERB cana-1477 100 20 k-1 k-1 PROPN cana-1477 100 21 subsets subset NOUN cana-1477 100 22 for for ADP cana-1477 100 23 training training NOUN cana-1477 100 24 and and CCONJ cana-1477 100 25 the the DET cana-1477 100 26 remaining remain VERB cana-1477 100 27 subset subset NOUN cana-1477 100 28 for for ADP cana-1477 100 29 validation validation NOUN cana-1477 100 30 . . PUNCT cana-1477 101 1 this this DET cana-1477 101 2 approach approach NOUN cana-1477 101 3 helps help VERB cana-1477 101 4 to to PART cana-1477 101 5 reduce reduce VERB cana-1477 101 6 overfitting overfitting NOUN cana-1477 101 7 and and CCONJ cana-1477 101 8 provides provide VERB cana-1477 101 9 a a DET cana-1477 101 10 more more ADV cana-1477 101 11 robust robust ADJ cana-1477 101 12 estimation estimation NOUN cana-1477 101 13 of of ADP cana-1477 101 14 the the DET cana-1477 101 15 model model NOUN cana-1477 101 16 's 's PART cana-1477 101 17 performance performance NOUN cana-1477 101 18 . . PUNCT cana-1477 102 1 2.6 2.6 NUM cana-1477 102 2 performance performance NOUN cana-1477 102 3 metrics metric NOUN cana-1477 102 4 to to PART cana-1477 102 5 evaluate evaluate VERB cana-1477 102 6 the the DET cana-1477 102 7 performance performance NOUN cana-1477 102 8 of of ADP cana-1477 102 9 our our PRON cana-1477 102 10 svm svm ADJ cana-1477 102 11 model model NOUN cana-1477 102 12 , , PUNCT cana-1477 102 13 we we PRON cana-1477 102 14 used use VERB cana-1477 102 15 the the DET cana-1477 102 16 following follow VERB cana-1477 102 17 metrics metric NOUN cana-1477 102 18 : : PUNCT cana-1477 102 19 accuracy accuracy NOUN cana-1477 102 20 : : PUNCT cana-1477 102 21 the the DET cana-1477 102 22 proportion proportion NOUN cana-1477 102 23 of of ADP cana-1477 102 24 correct correct ADJ cana-1477 102 25 predictions prediction NOUN cana-1477 102 26 ( ( PUNCT cana-1477 102 27 both both CCONJ cana-1477 102 28 true true ADJ cana-1477 102 29 positives positive NOUN cana-1477 102 30 and and CCONJ cana-1477 102 31 true true ADJ cana-1477 102 32 negatives negative NOUN cana-1477 102 33 ) ) PUNCT cana-1477 102 34 among among ADP cana-1477 102 35 the the DET cana-1477 102 36 total total ADJ cana-1477 102 37 number number NOUN cana-1477 102 38 of of ADP cana-1477 102 39 cases case NOUN cana-1477 102 40 examined examine VERB cana-1477 102 41 . . PUNCT cana-1477 103 1 precision precision NOUN cana-1477 103 2 : : PUNCT cana-1477 103 3 the the DET cana-1477 103 4 proportion proportion NOUN cana-1477 103 5 of of ADP cana-1477 103 6 true true ADJ cana-1477 103 7 positive positive ADJ cana-1477 103 8 predictions prediction NOUN cana-1477 103 9 compared compare VERB cana-1477 103 10 to to ADP cana-1477 103 11 the the DET cana-1477 103 12 total total ADJ cana-1477 103 13 number number NOUN cana-1477 103 14 of of ADP cana-1477 103 15 positive positive ADJ cana-1477 103 16 predictions prediction NOUN cana-1477 103 17 . . PUNCT cana-1477 104 1 recall recall NOUN cana-1477 104 2 ( ( PUNCT cana-1477 104 3 sensitivity sensitivity NOUN cana-1477 104 4 ): ): PUNCT cana-1477 104 5 the the DET cana-1477 104 6 proportion proportion NOUN cana-1477 104 7 of of ADP cana-1477 104 8 true true ADJ cana-1477 104 9 positive positive ADJ cana-1477 104 10 predictions prediction NOUN cana-1477 104 11 compared compare VERB cana-1477 104 12 to to ADP cana-1477 104 13 the the DET cana-1477 104 14 total total ADJ cana-1477 104 15 number number NOUN cana-1477 104 16 of of ADP cana-1477 104 17 actual actual ADJ cana-1477 104 18 positive positive ADJ cana-1477 104 19 cases case NOUN cana-1477 104 20 . . PUNCT cana-1477 105 1 f1 f1 NOUN cana-1477 105 2 - - PUNCT cana-1477 105 3 score score NOUN cana-1477 105 4 : : PUNCT cana-1477 105 5 the the DET cana-1477 105 6 harmonic harmonic ADJ cana-1477 105 7 mean mean NOUN cana-1477 105 8 of of ADP cana-1477 105 9 precision precision NOUN cana-1477 105 10 and and CCONJ cana-1477 105 11 recall recall NOUN cana-1477 105 12 , , PUNCT cana-1477 105 13 providing provide VERB cana-1477 105 14 a a DET cana-1477 105 15 single single ADJ cana-1477 105 16 score score NOUN cana-1477 105 17 that that PRON cana-1477 105 18 balances balance VERB cana-1477 105 19 both both DET cana-1477 105 20 metrics metric NOUN cana-1477 105 21 . . PUNCT cana-1477 106 1 area area NOUN cana-1477 106 2 under under ADP cana-1477 106 3 the the DET cana-1477 106 4 receiver receiver NOUN cana-1477 106 5 operating operate VERB cana-1477 106 6 characteristic characteristic ADJ cana-1477 106 7 curve curve NOUN cana-1477 106 8 ( ( PUNCT cana-1477 106 9 auc auc NOUN cana-1477 106 10 - - PUNCT cana-1477 106 11 roc roc NOUN cana-1477 106 12 ): ): PUNCT cana-1477 106 13 a a DET cana-1477 106 14 plot plot NOUN cana-1477 106 15 of of ADP cana-1477 106 16 the the DET cana-1477 106 17 true true ADJ cana-1477 106 18 positive positive ADJ cana-1477 106 19 rate rate NOUN cana-1477 106 20 against against ADP cana-1477 106 21 the the DET cana-1477 106 22 false false ADJ cana-1477 106 23 positive positive ADJ cana-1477 106 24 rate rate NOUN cana-1477 106 25 at at ADP cana-1477 106 26 various various ADJ cana-1477 106 27 threshold threshold NOUN cana-1477 106 28 settings setting NOUN cana-1477 106 29 . . PUNCT cana-1477 107 1 these these DET cana-1477 107 2 measures measure NOUN cana-1477 107 3 offer offer VERB cana-1477 107 4 a a DET cana-1477 107 5 thorough thorough ADJ cana-1477 107 6 understanding understanding NOUN cana-1477 107 7 of of ADP cana-1477 107 8 the the DET cana-1477 107 9 model model NOUN cana-1477 107 10 's 's PART cana-1477 107 11 performance performance NOUN cana-1477 107 12 , , PUNCT cana-1477 107 13 taking take VERB cana-1477 107 14 into into ADP cana-1477 107 15 account account NOUN cana-1477 107 16 both both DET cana-1477 107 17 its its PRON cana-1477 107 18 accuracy accuracy NOUN cana-1477 107 19 in in ADP cana-1477 107 20 identifying identify VERB cana-1477 107 21 patients patient NOUN cana-1477 107 22 with with ADP cana-1477 107 23 diabetes diabetes NOUN cana-1477 107 24 and and CCONJ cana-1477 107 25 its its PRON cana-1477 107 26 capacity capacity NOUN cana-1477 107 27 to to PART cana-1477 107 28 avoid avoid VERB cana-1477 107 29 false false ADJ cana-1477 107 30 positives positive NOUN cana-1477 107 31 . . PUNCT cana-1477 108 1 3 3 X cana-1477 108 2 . . NOUN cana-1477 108 3 model model NOUN cana-1477 108 4 performance performance NOUN cana-1477 108 5 after after ADP cana-1477 108 6 implementing implement VERB cana-1477 108 7 the the DET cana-1477 108 8 support support NOUN cana-1477 108 9 vector vector NOUN cana-1477 108 10 machine machine NOUN cana-1477 108 11 ( ( PUNCT cana-1477 108 12 svm svm PROPN cana-1477 108 13 ) ) PUNCT cana-1477 108 14 model model NOUN cana-1477 108 15 with with ADP cana-1477 108 16 various various ADJ cana-1477 108 17 hyperparameters hyperparameter NOUN cana-1477 108 18 and and CCONJ cana-1477 108 19 kernel kernel NOUN cana-1477 108 20 functions function NOUN cana-1477 108 21 , , PUNCT cana-1477 108 22 we we PRON cana-1477 108 23 found find VERB cana-1477 108 24 that that SCONJ cana-1477 108 25 the the DET cana-1477 108 26 radial radial ADJ cana-1477 108 27 basis basis NOUN cana-1477 108 28 function function NOUN cana-1477 108 29 ( ( PUNCT cana-1477 108 30 rbf rbf PROPN cana-1477 108 31 ) ) PUNCT cana-1477 108 32 kernel kernel PROPN cana-1477 108 33 outperformed outperform VERB cana-1477 108 34 both both CCONJ cana-1477 108 35 polynomial polynomial ADJ cana-1477 108 36 and and CCONJ cana-1477 108 37 linear linear ADJ cana-1477 108 38 kernels kernel NOUN cana-1477 108 39 . . PUNCT cana-1477 109 1 the the DET cana-1477 109 2 optimal optimal ADJ cana-1477 109 3 hyperparameters hyperparameter NOUN cana-1477 109 4 for for ADP cana-1477 109 5 our our PRON cana-1477 109 6 model model NOUN cana-1477 109 7 were be AUX cana-1477 109 8 determined determine VERB cana-1477 109 9 to to PART cana-1477 109 10 be be AUX cana-1477 109 11 : : PUNCT cana-1477 109 12 communications communication NOUN cana-1477 109 13 on on ADP cana-1477 109 14 applied apply VERB cana-1477 109 15 nonlinear nonlinear ADJ cana-1477 109 16 analysis analysis NOUN cana-1477 109 17 issn issn NOUN cana-1477 109 18 : : PUNCT cana-1477 109 19 1074 1074 NUM cana-1477 109 20 - - PUNCT cana-1477 109 21 133x 133x NUM cana-1477 109 22 vol vol NOUN cana-1477 109 23 31 31 NUM cana-1477 109 24 no no NOUN cana-1477 109 25 . . PUNCT cana-1477 110 1 8s 8s PROPN cana-1477 110 2 ( ( PUNCT cana-1477 110 3 2024 2024 NUM cana-1477 110 4 ) ) PUNCT cana-1477 110 5 243 243 NUM cana-1477 110 6 https://internationalpubls.com https://internationalpubls.com X cana-1477 110 7 ● ● NUM cana-1477 110 8 kernel kernel NOUN cana-1477 110 9 : : PUNCT cana-1477 110 10 rbf rbf PROPN cana-1477 110 11 ● ● X cana-1477 110 12 gamma gamma NOUN cana-1477 110 13 : : PUNCT cana-1477 110 14 0.2 0.2 NUM cana-1477 110 15 ● ● NUM cana-1477 110 16 c c NOUN cana-1477 110 17 ( ( PUNCT cana-1477 110 18 regularization regularization NOUN cana-1477 110 19 parameter parameter NOUN cana-1477 110 20 ): ): PUNCT cana-1477 110 21 1.0 1.0 NUM cana-1477 110 22 using use VERB cana-1477 110 23 these these DET cana-1477 110 24 parameters parameter NOUN cana-1477 110 25 , , PUNCT cana-1477 110 26 our our PRON cana-1477 110 27 svm svm ADJ cana-1477 110 28 model model NOUN cana-1477 110 29 achieved achieve VERB cana-1477 110 30 the the DET cana-1477 110 31 following follow VERB cana-1477 110 32 performance performance NOUN cana-1477 110 33 metrics metric NOUN cana-1477 110 34 : : PUNCT cana-1477 110 35 ● ● PUNCT cana-1477 110 36 accuracy accuracy NOUN cana-1477 110 37 : : PUNCT cana-1477 110 38 0.83116 0.83116 NUM cana-1477 110 39 ( ( PUNCT cana-1477 110 40 83.12 83.12 NUM cana-1477 110 41 % % NOUN cana-1477 110 42 ) ) PUNCT cana-1477 110 43 ● ● NUM cana-1477 110 44 area area NOUN cana-1477 110 45 under under ADP cana-1477 110 46 the the DET cana-1477 110 47 receiver receiver NOUN cana-1477 110 48 operating operate VERB cana-1477 110 49 characteristic characteristic ADJ cana-1477 110 50 curve curve NOUN cana-1477 110 51 ( ( PUNCT cana-1477 110 52 auc auc NOUN cana-1477 110 53 - - PUNCT cana-1477 110 54 roc roc NOUN cana-1477 110 55 ): ): PUNCT cana-1477 110 56 0.91 0.91 NUM cana-1477 110 57 ( ( PUNCT cana-1477 110 58 91 91 NUM cana-1477 110 59 % % NOUN cana-1477 110 60 ) ) PUNCT cana-1477 110 61 3.2 3.2 NUM cana-1477 110 62 interpretation interpretation NOUN cana-1477 110 63 of of ADP cana-1477 110 64 results result NOUN cana-1477 110 65 with with ADP cana-1477 110 66 an an DET cana-1477 110 67 accuracy accuracy NOUN cana-1477 110 68 of of ADP cana-1477 110 69 83.12 83.12 NUM cana-1477 110 70 % % NOUN cana-1477 110 71 , , PUNCT cana-1477 110 72 our our PRON cana-1477 110 73 model model NOUN cana-1477 110 74 was be AUX cana-1477 110 75 able able ADJ cana-1477 110 76 to to PART cana-1477 110 77 accurately accurately ADV cana-1477 110 78 classify classify VERB cana-1477 110 79 83 83 NUM cana-1477 110 80 out out ADP cana-1477 110 81 of of ADP cana-1477 110 82 100 100 NUM cana-1477 110 83 individuals individual NOUN cana-1477 110 84 in in ADP cana-1477 110 85 the the DET cana-1477 110 86 sample sample NOUN cana-1477 110 87 as as ADP cana-1477 110 88 having have VERB cana-1477 110 89 diabetes diabetes NOUN cana-1477 110 90 . . PUNCT cana-1477 111 1 this this PRON cana-1477 111 2 implies imply VERB cana-1477 111 3 a a DET cana-1477 111 4 robust robust ADJ cana-1477 111 5 capacity capacity NOUN cana-1477 111 6 for for ADP cana-1477 111 7 prediction prediction NOUN cana-1477 111 8 , , PUNCT cana-1477 111 9 particularly particularly ADV cana-1477 111 10 in in ADP cana-1477 111 11 light light NOUN cana-1477 111 12 of of ADP cana-1477 111 13 the the DET cana-1477 111 14 intricacy intricacy NOUN cana-1477 111 15 of of ADP cana-1477 111 16 diabetes diabetes NOUN cana-1477 111 17 as as ADP cana-1477 111 18 a a DET cana-1477 111 19 medical medical ADJ cana-1477 111 20 ailment ailment NOUN cana-1477 111 21 impacted impact VERB cana-1477 111 22 by by ADP cana-1477 111 23 multiple multiple ADJ cana-1477 111 24 variables variable NOUN cana-1477 111 25 . . PUNCT cana-1477 112 1 the the DET cana-1477 112 2 0.91 0.91 NUM cana-1477 112 3 auc auc NOUN cana-1477 112 4 - - PUNCT cana-1477 112 5 roc roc NOUN cana-1477 112 6 score score NOUN cana-1477 112 7 is be AUX cana-1477 112 8 quite quite ADV cana-1477 112 9 impressive impressive ADJ cana-1477 112 10 . . PUNCT cana-1477 113 1 between between ADP cana-1477 113 2 0.5 0.5 NUM cana-1477 113 3 ( ( PUNCT cana-1477 113 4 no no DET cana-1477 113 5 discriminative discriminative NOUN cana-1477 113 6 power power NOUN cana-1477 113 7 ) ) PUNCT cana-1477 113 8 and and CCONJ cana-1477 113 9 1.0 1.0 NUM cana-1477 113 10 ( ( PUNCT cana-1477 113 11 perfect perfect ADJ cana-1477 113 12 discrimination discrimination NOUN cana-1477 113 13 ) ) PUNCT cana-1477 113 14 , , PUNCT cana-1477 113 15 auc auc NOUN cana-1477 113 16 - - PUNCT cana-1477 113 17 roc roc NOUN cana-1477 113 18 values value NOUN cana-1477 113 19 are be AUX cana-1477 113 20 found find VERB cana-1477 113 21 . . PUNCT cana-1477 114 1 with with ADP cana-1477 114 2 a a DET cana-1477 114 3 discriminative discriminative NOUN cana-1477 114 4 ability ability NOUN cana-1477 114 5 score score NOUN cana-1477 114 6 of of ADP cana-1477 114 7 0.91 0.91 NUM cana-1477 114 8 , , PUNCT cana-1477 114 9 we we PRON cana-1477 114 10 can can AUX cana-1477 114 11 conclude conclude VERB cana-1477 114 12 that that SCONJ cana-1477 114 13 the the DET cana-1477 114 14 model model NOUN cana-1477 114 15 is be AUX cana-1477 114 16 highly highly ADV cana-1477 114 17 effective effective ADJ cana-1477 114 18 at at ADP cana-1477 114 19 differentiating differentiate VERB cana-1477 114 20 between between ADP cana-1477 114 21 instances instance NOUN cana-1477 114 22 with with ADP cana-1477 114 23 and and CCONJ cana-1477 114 24 without without ADP cana-1477 114 25 diabetes diabete NOUN cana-1477 114 26 across across ADP cana-1477 114 27 a a DET cana-1477 114 28 range range NOUN cana-1477 114 29 of of ADP cana-1477 114 30 classification classification NOUN cana-1477 114 31 thresholds threshold NOUN cana-1477 114 32 . . PUNCT cana-1477 115 1 table table NOUN cana-1477 115 2 1 1 NUM cana-1477 115 3 . . PUNCT cana-1477 116 1 result result VERB cana-1477 116 2 comparison comparison NOUN cana-1477 116 3 between between ADP cana-1477 116 4 all all DET cana-1477 116 5 models model NOUN cana-1477 116 6 used use VERB cana-1477 116 7 svm svm PROPN cana-1477 116 8 alongside alongside ADP cana-1477 116 9 kaggles kaggle NOUN cana-1477 116 10 diabetes diabetes NOUN cana-1477 116 11 dataset dataset VERB cana-1477 116 12 previous previous ADJ cana-1477 116 13 svm svm ADJ cana-1477 116 14 model model NOUN cana-1477 116 15 with with ADP cana-1477 116 16 kaggles kaggle NOUN cana-1477 116 17 diabetes diabetes NOUN cana-1477 116 18 dataset dataset NOUN cana-1477 116 19 accuracy accuracy NOUN cana-1477 116 20 source source NOUN cana-1477 116 21 kumari kumari PROPN cana-1477 116 22 & & CCONJ cana-1477 116 23 chitra chitra PROPN cana-1477 116 24 ( ( PUNCT cana-1477 116 25 2013 2013 NUM cana-1477 116 26 ) ) PUNCT cana-1477 116 27 78.00 78.00 NUM cana-1477 116 28 % % NOUN cana-1477 117 1 [ [ X cana-1477 117 2 26 26 NUM cana-1477 117 3 ] ] X cana-1477 117 4 parashar parashar PROPN cana-1477 117 5 et et PROPN cana-1477 117 6 al al PROPN cana-1477 117 7 . . PROPN cana-1477 117 8 ( ( PUNCT cana-1477 117 9 2014 2014 NUM cana-1477 117 10 ) ) PUNCT cana-1477 117 11 77.34 77.34 NUM cana-1477 117 12 % % NOUN cana-1477 117 13 [ [ X cana-1477 117 14 27 27 NUM cana-1477 117 15 ] ] SYM cana-1477 117 16 kandhasamy kandhasamy PROPN cana-1477 117 17 & & CCONJ cana-1477 117 18 balamurali balamurali PROPN cana-1477 117 19 ( ( PUNCT cana-1477 117 20 2015 2015 NUM cana-1477 117 21 ) ) PUNCT cana-1477 117 22 73.17 73.17 NUM cana-1477 117 23 % % NOUN cana-1477 117 24 [ [ X cana-1477 117 25 28 28 NUM cana-1477 117 26 ] ] X cana-1477 117 27 kaul kaul PROPN cana-1477 117 28 et et PROPN cana-1477 117 29 al al PROPN cana-1477 117 30 . . PROPN cana-1477 118 1 ( ( PUNCT cana-1477 118 2 2016 2016 NUM cana-1477 118 3 ) ) PUNCT cana-1477 119 1 77.73 77.73 NUM cana-1477 119 2 % % NOUN cana-1477 119 3 [ [ X cana-1477 119 4 29 29 NUM cana-1477 119 5 ] ] X cana-1477 119 6 sisodia sisodia PROPN cana-1477 119 7 & & CCONJ cana-1477 119 8 sisodia sisodia PROPN cana-1477 119 9 ( ( PUNCT cana-1477 119 10 2018 2018 NUM cana-1477 119 11 ) ) PUNCT cana-1477 119 12 65.10 65.10 NUM cana-1477 119 13 % % NOUN cana-1477 119 14 [ [ X cana-1477 119 15 30 30 NUM cana-1477 119 16 ] ] PUNCT cana-1477 119 17 choubey choubey NOUN cana-1477 119 18 et et PROPN cana-1477 119 19 al al PROPN cana-1477 119 20 . . PROPN cana-1477 119 21 ( ( PUNCT cana-1477 119 22 2020 2020 NUM cana-1477 119 23 ) ) PUNCT cana-1477 119 24 77.34 77.34 NUM cana-1477 119 25 % % NOUN cana-1477 119 26 [ [ X cana-1477 119 27 31 31 NUM cana-1477 119 28 ] ] X cana-1477 119 29 mir mir PROPN cana-1477 119 30 & & CCONJ cana-1477 119 31 dhage dhage PROPN cana-1477 119 32 ( ( PUNCT cana-1477 119 33 2018 2018 NUM cana-1477 119 34 ) ) PUNCT cana-1477 119 35 78.20 78.20 NUM cana-1477 119 36 % % NOUN cana-1477 119 37 [ [ X cana-1477 119 38 32 32 NUM cana-1477 119 39 ] ] PUNCT cana-1477 119 40 our our PRON cana-1477 119 41 svm svm ADJ cana-1477 119 42 model model NOUN cana-1477 119 43 83.12 83.12 NUM cana-1477 119 44 figure figure NOUN cana-1477 119 45 4 4 NUM cana-1477 119 46 . . PUNCT cana-1477 119 47 auc auc NOUN cana-1477 119 48 curve curve NOUN cana-1477 119 49 result result NOUN cana-1477 119 50 communications communication NOUN cana-1477 119 51 on on ADP cana-1477 119 52 applied apply VERB cana-1477 119 53 nonlinear nonlinear ADJ cana-1477 119 54 analysis analysis NOUN cana-1477 119 55 issn issn NOUN cana-1477 119 56 : : PUNCT cana-1477 119 57 1074 1074 NUM cana-1477 119 58 - - PUNCT cana-1477 119 59 133x 133x NUM cana-1477 119 60 vol vol NOUN cana-1477 119 61 31 31 NUM cana-1477 119 62 no no NOUN cana-1477 119 63 . . PUNCT cana-1477 120 1 8s 8s PROPN cana-1477 120 2 ( ( PUNCT cana-1477 120 3 2024 2024 NUM cana-1477 120 4 ) ) PUNCT cana-1477 120 5 244 244 NUM cana-1477 120 6 https://internationalpubls.com https://internationalpubls.com X cana-1477 120 7 3.3 3.3 NUM cana-1477 120 8 comparison comparison NOUN cana-1477 120 9 with with ADP cana-1477 120 10 kernel kernel PROPN cana-1477 120 11 functions function NOUN cana-1477 120 12 our our PRON cana-1477 120 13 experimentation experimentation NOUN cana-1477 120 14 with with ADP cana-1477 120 15 different different ADJ cana-1477 120 16 kernel kernel NOUN cana-1477 120 17 functions function NOUN cana-1477 120 18 revealed reveal VERB cana-1477 120 19 that that SCONJ cana-1477 120 20 the the DET cana-1477 120 21 rbf rbf PROPN cana-1477 120 22 kernel kernel PROPN cana-1477 120 23 was be AUX cana-1477 120 24 the the DET cana-1477 120 25 most most ADV cana-1477 120 26 effective effective ADJ cana-1477 120 27 for for ADP cana-1477 120 28 this this DET cana-1477 120 29 particular particular ADJ cana-1477 120 30 dataset dataset NOUN cana-1477 120 31 and and CCONJ cana-1477 120 32 prediction prediction NOUN cana-1477 120 33 task task NOUN cana-1477 120 34 . . PUNCT cana-1477 121 1 this this PRON cana-1477 121 2 suggests suggest VERB cana-1477 121 3 that that SCONJ cana-1477 121 4 the the DET cana-1477 121 5 relationship relationship NOUN cana-1477 121 6 between between ADP cana-1477 121 7 our our PRON cana-1477 121 8 selected select VERB cana-1477 121 9 features feature NOUN cana-1477 121 10 and and CCONJ cana-1477 121 11 diabetes diabetes NOUN cana-1477 121 12 outcome outcome NOUN cana-1477 121 13 is be AUX cana-1477 121 14 likely likely ADJ cana-1477 121 15 non non ADJ cana-1477 121 16 - - ADJ cana-1477 121 17 linear linear ADJ cana-1477 121 18 , , PUNCT cana-1477 121 19 as as SCONJ cana-1477 121 20 the the DET cana-1477 121 21 rbf rbf PROPN cana-1477 121 22 kernel kernel PROPN cana-1477 121 23 is be AUX cana-1477 121 24 particularly particularly ADV cana-1477 121 25 adept adept ADJ cana-1477 121 26 at at ADP cana-1477 121 27 handling handle VERB cana-1477 121 28 non non ADJ cana-1477 121 29 - - ADJ cana-1477 121 30 linear linear ADJ cana-1477 121 31 decision decision NOUN cana-1477 121 32 boundaries boundary NOUN cana-1477 121 33 . . PUNCT cana-1477 122 1 the the DET cana-1477 122 2 superior superior ADJ cana-1477 122 3 performance performance NOUN cana-1477 122 4 of of ADP cana-1477 122 5 the the DET cana-1477 122 6 rbf rbf PROPN cana-1477 122 7 kernel kernel PROPN cana-1477 122 8 over over ADP cana-1477 122 9 linear linear ADJ cana-1477 122 10 and and CCONJ cana-1477 122 11 polynomial polynomial ADJ cana-1477 122 12 kernels kernel NOUN cana-1477 122 13 underscores underscore VERB cana-1477 122 14 the the DET cana-1477 122 15 complexity complexity NOUN cana-1477 122 16 of of ADP cana-1477 122 17 the the DET cana-1477 122 18 relationships relationship NOUN cana-1477 122 19 between between ADP cana-1477 122 20 the the DET cana-1477 122 21 predictive predictive ADJ cana-1477 122 22 variables variable NOUN cana-1477 122 23 and and CCONJ cana-1477 122 24 diabetes diabetes NOUN cana-1477 122 25 status status NOUN cana-1477 122 26 . . PUNCT cana-1477 123 1 it it PRON cana-1477 123 2 indicates indicate VERB cana-1477 123 3 that that SCONJ cana-1477 123 4 simple simple ADJ cana-1477 123 5 linear linear ADJ cana-1477 123 6 separations separation NOUN cana-1477 123 7 or or CCONJ cana-1477 123 8 polynomial polynomial ADJ cana-1477 123 9 curves curve NOUN cana-1477 123 10 are be AUX cana-1477 123 11 less less ADV cana-1477 123 12 effective effective ADJ cana-1477 123 13 in in ADP cana-1477 123 14 capturing capture VERB cana-1477 123 15 the the DET cana-1477 123 16 underlying underlie VERB cana-1477 123 17 patterns pattern NOUN cana-1477 123 18 in in ADP cana-1477 123 19 the the DET cana-1477 123 20 data datum NOUN cana-1477 123 21 . . PUNCT cana-1477 124 1 3.4 3.4 NUM cana-1477 124 2 feature feature NOUN cana-1477 124 3 importance importance NOUN cana-1477 124 4 while while SCONJ cana-1477 124 5 svm svm ADJ cana-1477 124 6 models model NOUN cana-1477 124 7 do do AUX cana-1477 124 8 n't not PART cana-1477 124 9 provide provide VERB cana-1477 124 10 direct direct ADJ cana-1477 124 11 feature feature NOUN cana-1477 124 12 importance importance NOUN cana-1477 124 13 scores score NOUN cana-1477 124 14 like like ADP cana-1477 124 15 some some DET cana-1477 124 16 other other ADJ cana-1477 124 17 algorithms algorithm NOUN cana-1477 124 18 ( ( PUNCT cana-1477 124 19 e.g. e.g. ADV cana-1477 124 20 , , PUNCT cana-1477 124 21 random random ADJ cana-1477 124 22 forests forest NOUN cana-1477 124 23 ) ) PUNCT cana-1477 124 24 , , PUNCT cana-1477 124 25 the the DET cana-1477 124 26 selection selection NOUN cana-1477 124 27 of of ADP cana-1477 124 28 features feature NOUN cana-1477 124 29 through through ADP cana-1477 124 30 our our PRON cana-1477 124 31 preprocessing preprocessing NOUN cana-1477 124 32 steps step NOUN cana-1477 124 33 played play VERB cana-1477 124 34 a a DET cana-1477 124 35 crucial crucial ADJ cana-1477 124 36 role role NOUN cana-1477 124 37 in in ADP cana-1477 124 38 achieving achieve VERB cana-1477 124 39 these these DET cana-1477 124 40 results result NOUN cana-1477 124 41 . . PUNCT cana-1477 125 1 the the DET cana-1477 125 2 six six NUM cana-1477 125 3 features feature NOUN cana-1477 125 4 we we PRON cana-1477 125 5 retained retain VERB cana-1477 125 6 ( ( PUNCT cana-1477 125 7 glucose glucose NOUN cana-1477 125 8 , , PUNCT cana-1477 125 9 bloodpressure bloodpressure NOUN cana-1477 125 10 , , PUNCT cana-1477 125 11 skinthickness skinthickness PROPN cana-1477 125 12 , , PUNCT cana-1477 125 13 bmi bmi PROPN cana-1477 125 14 , , PUNCT cana-1477 125 15 diabetespedigreefunction diabetespedigreefunction NOUN cana-1477 125 16 , , PUNCT cana-1477 125 17 and and CCONJ cana-1477 125 18 age age NOUN cana-1477 125 19 ) ) PUNCT cana-1477 125 20 proved prove VERB cana-1477 125 21 to to PART cana-1477 125 22 be be AUX cana-1477 125 23 sufficiently sufficiently ADV cana-1477 125 24 informative informative ADJ cana-1477 125 25 for for SCONJ cana-1477 125 26 the the DET cana-1477 125 27 model model NOUN cana-1477 125 28 to to PART cana-1477 125 29 make make VERB cana-1477 125 30 accurate accurate ADJ cana-1477 125 31 predictions prediction NOUN cana-1477 125 32 . . PUNCT cana-1477 126 1 3.5 3.5 NUM cana-1477 126 2 model model NOUN cana-1477 126 3 robustness robustness VERB cana-1477 126 4 the the DET cana-1477 126 5 combination combination NOUN cana-1477 126 6 of of ADP cana-1477 126 7 high high ADJ cana-1477 126 8 accuracy accuracy NOUN cana-1477 126 9 and and CCONJ cana-1477 126 10 auc auc NOUN cana-1477 126 11 - - PUNCT cana-1477 126 12 roc roc NOUN cana-1477 126 13 scores score NOUN cana-1477 126 14 suggests suggest VERB cana-1477 126 15 that that SCONJ cana-1477 126 16 our our PRON cana-1477 126 17 model model NOUN cana-1477 126 18 is be AUX cana-1477 126 19 both both CCONJ cana-1477 126 20 accurate accurate ADJ cana-1477 126 21 and and CCONJ cana-1477 126 22 robust robust ADJ cana-1477 126 23 . . PUNCT cana-1477 127 1 the the DET cana-1477 127 2 auc auc NOUN cana-1477 127 3 - - PUNCT cana-1477 127 4 roc roc NOUN cana-1477 127 5 of of ADP cana-1477 127 6 0.91 0.91 NUM cana-1477 127 7 indicates indicate VERB cana-1477 127 8 that that SCONJ cana-1477 127 9 the the DET cana-1477 127 10 model model NOUN cana-1477 127 11 maintains maintain VERB cana-1477 127 12 good good ADJ cana-1477 127 13 performance performance NOUN cana-1477 127 14 across across ADP cana-1477 127 15 different different ADJ cana-1477 127 16 classification classification NOUN cana-1477 127 17 thresholds threshold NOUN cana-1477 127 18 , , PUNCT cana-1477 127 19 which which PRON cana-1477 127 20 is be AUX cana-1477 127 21 crucial crucial ADJ cana-1477 127 22 for for ADP cana-1477 127 23 a a DET cana-1477 127 24 medical medical ADJ cana-1477 127 25 prediction prediction NOUN cana-1477 127 26 task task NOUN cana-1477 127 27 where where SCONJ cana-1477 127 28 the the DET cana-1477 127 29 costs cost NOUN cana-1477 127 30 of of ADP cana-1477 127 31 false false ADJ cana-1477 127 32 positives positive NOUN cana-1477 127 33 and and CCONJ cana-1477 127 34 false false ADJ cana-1477 127 35 negatives negative NOUN cana-1477 127 36 can can AUX cana-1477 127 37 vary vary VERB cana-1477 127 38 . . PUNCT cana-1477 128 1 these these DET cana-1477 128 2 results result NOUN cana-1477 128 3 show show VERB cana-1477 128 4 how how SCONJ cana-1477 128 5 svm svm ADJ cana-1477 128 6 models model NOUN cana-1477 128 7 , , PUNCT cana-1477 128 8 especially especially ADV cana-1477 128 9 those those PRON cana-1477 128 10 that that PRON cana-1477 128 11 use use VERB cana-1477 128 12 rbf rbf PROPN cana-1477 128 13 kernels kernel NOUN cana-1477 128 14 , , PUNCT cana-1477 128 15 can can AUX cana-1477 128 16 be be AUX cana-1477 128 17 used use VERB cana-1477 128 18 to to PART cana-1477 128 19 predict predict VERB cana-1477 128 20 diabetes diabetes NOUN cana-1477 128 21 risk risk NOUN cana-1477 128 22 using use VERB cana-1477 128 23 easily easily ADV cana-1477 128 24 accessible accessible ADJ cana-1477 128 25 health health NOUN cana-1477 128 26 data datum NOUN cana-1477 128 27 . . PUNCT cana-1477 129 1 the the DET cana-1477 129 2 model model NOUN cana-1477 129 3 's 's PART cana-1477 129 4 performance performance NOUN cana-1477 129 5 indicates indicate VERB cana-1477 129 6 that that SCONJ cana-1477 129 7 it it PRON cana-1477 129 8 might might AUX cana-1477 129 9 be be AUX cana-1477 129 10 a a DET cana-1477 129 11 useful useful ADJ cana-1477 129 12 tool tool NOUN cana-1477 129 13 for for ADP cana-1477 129 14 diabetes diabetes NOUN cana-1477 129 15 screening screening NOUN cana-1477 129 16 and and CCONJ cana-1477 129 17 early early ADJ cana-1477 129 18 detection detection NOUN cana-1477 129 19 , , PUNCT cana-1477 129 20 albeit albeit SCONJ cana-1477 129 21 more more ADJ cana-1477 129 22 validation validation NOUN cana-1477 129 23 would would AUX cana-1477 129 24 be be AUX cana-1477 129 25 required require VERB cana-1477 129 26 before before ADP cana-1477 129 27 practical practical ADJ cana-1477 129 28 adoption adoption NOUN cana-1477 129 29 . . PUNCT cana-1477 130 1 4 4 X cana-1477 130 2 . . X cana-1477 130 3 interpretation interpretation NOUN cana-1477 130 4 results result NOUN cana-1477 130 5 and and CCONJ cana-1477 130 6 discussion discussion NOUN cana-1477 130 7 with with ADP cana-1477 130 8 an an DET cana-1477 130 9 accuracy accuracy NOUN cana-1477 130 10 of of ADP cana-1477 130 11 83.12 83.12 NUM cana-1477 130 12 % % NOUN cana-1477 130 13 and and CCONJ cana-1477 130 14 an an DET cana-1477 130 15 auc auc NOUN cana-1477 130 16 - - PUNCT cana-1477 130 17 roc roc NOUN cana-1477 130 18 of of ADP cana-1477 130 19 0.91 0.91 NUM cana-1477 130 20 , , PUNCT cana-1477 130 21 our our PRON cana-1477 130 22 svm svm ADJ cana-1477 130 23 model model NOUN cana-1477 130 24 's 's PART cana-1477 130 25 performance performance NOUN cana-1477 130 26 indicates indicate VERB cana-1477 130 27 its its PRON cana-1477 130 28 potent potent ADJ cana-1477 130 29 ability ability NOUN cana-1477 130 30 to to PART cana-1477 130 31 predict predict VERB cana-1477 130 32 the the DET cana-1477 130 33 risk risk NOUN cana-1477 130 34 of of ADP cana-1477 130 35 diabetes diabetes NOUN cana-1477 130 36 . . PUNCT cana-1477 131 1 given give VERB cana-1477 131 2 the the DET cana-1477 131 3 intricacy intricacy NOUN cana-1477 131 4 of of ADP cana-1477 131 5 diabetes diabetes NOUN cana-1477 131 6 as as ADP cana-1477 131 7 a a DET cana-1477 131 8 medical medical ADJ cana-1477 131 9 illness illness NOUN cana-1477 131 10 influenced influence VERB cana-1477 131 11 by by ADP cana-1477 131 12 multiple multiple ADJ cana-1477 131 13 interacting interact VERB cana-1477 131 14 factors factor NOUN cana-1477 131 15 , , PUNCT cana-1477 131 16 these these DET cana-1477 131 17 results result NOUN cana-1477 131 18 are be AUX cana-1477 131 19 very very ADV cana-1477 131 20 remarkable remarkable ADJ cana-1477 131 21 . . PUNCT cana-1477 132 1 with with ADP cana-1477 132 2 an an DET cana-1477 132 3 accuracy accuracy NOUN cana-1477 132 4 of of ADP cana-1477 132 5 83.12 83.12 NUM cana-1477 132 6 % % NOUN cana-1477 132 7 and and CCONJ cana-1477 132 8 an an DET cana-1477 132 9 auc auc NOUN cana-1477 132 10 - - PUNCT cana-1477 132 11 roc roc NOUN cana-1477 132 12 of of ADP cana-1477 132 13 0.91 0.91 NUM cana-1477 132 14 , , PUNCT cana-1477 132 15 our our PRON cana-1477 132 16 svm svm ADJ cana-1477 132 17 model model NOUN cana-1477 132 18 's 's PART cana-1477 132 19 performance performance NOUN cana-1477 132 20 indicates indicate VERB cana-1477 132 21 its its PRON cana-1477 132 22 potent potent ADJ cana-1477 132 23 ability ability NOUN cana-1477 132 24 to to PART cana-1477 132 25 predict predict VERB cana-1477 132 26 the the DET cana-1477 132 27 risk risk NOUN cana-1477 132 28 of of ADP cana-1477 132 29 diabetes diabetes NOUN cana-1477 132 30 . . PUNCT cana-1477 133 1 given give VERB cana-1477 133 2 the the DET cana-1477 133 3 intricacy intricacy NOUN cana-1477 133 4 of of ADP cana-1477 133 5 diabetes diabetes NOUN cana-1477 133 6 as as ADP cana-1477 133 7 a a DET cana-1477 133 8 medical medical ADJ cana-1477 133 9 illness illness NOUN cana-1477 133 10 influenced influence VERB cana-1477 133 11 by by ADP cana-1477 133 12 multiple multiple ADJ cana-1477 133 13 interacting interact VERB cana-1477 133 14 factors factor NOUN cana-1477 133 15 , , PUNCT cana-1477 133 16 these these DET cana-1477 133 17 results result NOUN cana-1477 133 18 are be AUX cana-1477 133 19 very very ADV cana-1477 133 20 remarkable remarkable ADJ cana-1477 133 21 . . PUNCT cana-1477 134 1 4.1 4.1 NUM cana-1477 134 2 comparison comparison NOUN cana-1477 134 3 with with ADP cana-1477 134 4 other other ADJ cana-1477 134 5 methods method NOUN cana-1477 134 6 while while SCONJ cana-1477 134 7 recent recent ADJ cana-1477 134 8 studies study NOUN cana-1477 134 9 have have AUX cana-1477 134 10 shown show VERB cana-1477 134 11 that that SCONJ cana-1477 134 12 convolutional convolutional ADJ cana-1477 134 13 neural neural ADJ cana-1477 134 14 networks network NOUN cana-1477 134 15 ( ( PUNCT cana-1477 134 16 cnns cnns PROPN cana-1477 134 17 ) ) PUNCT cana-1477 134 18 and and CCONJ cana-1477 134 19 other other ADJ cana-1477 134 20 deep deep ADJ cana-1477 134 21 learning learning NOUN cana-1477 134 22 approaches approach NOUN cana-1477 134 23 can can AUX cana-1477 134 24 achieve achieve VERB cana-1477 134 25 higher high ADJ cana-1477 134 26 accuracy accuracy NOUN cana-1477 134 27 in in ADP cana-1477 134 28 some some DET cana-1477 134 29 cases case NOUN cana-1477 134 30 , , PUNCT cana-1477 134 31 our our PRON cana-1477 134 32 svm svm ADJ cana-1477 134 33 model model NOUN cana-1477 134 34 offers offer VERB cana-1477 134 35 several several ADJ cana-1477 134 36 advantages advantage NOUN cana-1477 134 37 that that PRON cana-1477 134 38 make make VERB cana-1477 134 39 it it PRON cana-1477 134 40 particularly particularly ADV cana-1477 134 41 suitable suitable ADJ cana-1477 134 42 for for ADP cana-1477 134 43 real real ADJ cana-1477 134 44 - - PUNCT cana-1477 134 45 world world NOUN cana-1477 134 46 applications application NOUN cana-1477 134 47 : : PUNCT cana-1477 134 48 1 1 X cana-1477 134 49 . . PUNCT cana-1477 134 50 computational computational ADJ cana-1477 134 51 efficiency efficiency NOUN cana-1477 134 52 : : PUNCT cana-1477 134 53 compared compare VERB cana-1477 134 54 to to ADP cana-1477 134 55 deep deep ADJ cana-1477 134 56 learning learning NOUN cana-1477 134 57 models model NOUN cana-1477 134 58 , , PUNCT cana-1477 134 59 support support VERB cana-1477 134 60 vector vector NOUN cana-1477 134 61 machines machine NOUN cana-1477 134 62 ( ( PUNCT cana-1477 134 63 svm svm PROPN cana-1477 134 64 ) ) PUNCT cana-1477 134 65 require require VERB cana-1477 134 66 substantially substantially ADV cana-1477 134 67 less less ADV cana-1477 134 68 compute compute NOUN cana-1477 134 69 , , PUNCT cana-1477 134 70 particularly particularly ADV cana-1477 134 71 when when SCONJ cana-1477 134 72 trained train VERB cana-1477 134 73 on on ADP cana-1477 134 74 carefully carefully ADV cana-1477 134 75 chosen choose VERB cana-1477 134 76 data datum NOUN cana-1477 134 77 . . PUNCT cana-1477 135 1 this this PRON cana-1477 135 2 makes make VERB cana-1477 135 3 them they PRON cana-1477 135 4 appropriate appropriate ADJ cana-1477 135 5 for for ADP cana-1477 135 6 implementation implementation NOUN cana-1477 135 7 on on ADP cana-1477 135 8 devices device NOUN cana-1477 135 9 with with ADP cana-1477 135 10 limited limited ADJ cana-1477 135 11 resources resource NOUN cana-1477 135 12 , , PUNCT cana-1477 135 13 such such ADJ cana-1477 135 14 smart smart ADJ cana-1477 135 15 phones phone NOUN cana-1477 135 16 , , PUNCT cana-1477 135 17 raspberry raspberry NOUN cana-1477 135 18 pi pi NOUN cana-1477 135 19 , , PUNCT cana-1477 135 20 or or CCONJ cana-1477 135 21 other other ADJ cana-1477 135 22 edge edge NOUN cana-1477 135 23 computing computing NOUN cana-1477 135 24 devices device NOUN cana-1477 135 25 . . PUNCT cana-1477 136 1 communications communication NOUN cana-1477 136 2 on on ADP cana-1477 136 3 applied apply VERB cana-1477 136 4 nonlinear nonlinear ADJ cana-1477 136 5 analysis analysis NOUN cana-1477 136 6 issn issn NOUN cana-1477 136 7 : : PUNCT cana-1477 136 8 1074 1074 NUM cana-1477 136 9 - - PUNCT cana-1477 136 10 133x 133x NUM cana-1477 136 11 vol vol NOUN cana-1477 136 12 31 31 NUM cana-1477 136 13 no no NOUN cana-1477 136 14 . . PUNCT cana-1477 137 1 8s 8s PROPN cana-1477 137 2 ( ( PUNCT cana-1477 137 3 2024 2024 NUM cana-1477 137 4 ) ) PUNCT cana-1477 137 5 245 245 NUM cana-1477 138 1 https://internationalpubls.com https://internationalpubls.com X cana-1477 138 2 2 2 NUM cana-1477 138 3 . . X cana-1477 138 4 speed speed NOUN cana-1477 138 5 : : PUNCT cana-1477 138 6 the the DET cana-1477 138 7 svm svm ADJ cana-1477 138 8 model model NOUN cana-1477 138 9 can can AUX cana-1477 138 10 make make VERB cana-1477 138 11 predictions prediction NOUN cana-1477 138 12 much much ADV cana-1477 138 13 faster fast ADV cana-1477 138 14 than than ADP cana-1477 138 15 a a DET cana-1477 138 16 cnn cnn NOUN cana-1477 138 17 , , PUNCT cana-1477 138 18 which which PRON cana-1477 138 19 is be AUX cana-1477 138 20 crucial crucial ADJ cana-1477 138 21 for for ADP cana-1477 138 22 real real ADJ cana-1477 138 23 - - PUNCT cana-1477 138 24 time time NOUN cana-1477 138 25 applications application NOUN cana-1477 138 26 or or CCONJ cana-1477 138 27 when when SCONJ cana-1477 138 28 processing process VERB cana-1477 138 29 large large ADJ cana-1477 138 30 volumes volume NOUN cana-1477 138 31 of of ADP cana-1477 138 32 data datum NOUN cana-1477 138 33 . . PUNCT cana-1477 139 1 3 3 X cana-1477 139 2 . . X cana-1477 139 3 resource resource NOUN cana-1477 139 4 requirements requirement NOUN cana-1477 139 5 : : PUNCT cana-1477 139 6 svms svms NOUN cana-1477 139 7 can can AUX cana-1477 139 8 operate operate VERB cana-1477 139 9 effectively effectively ADV cana-1477 139 10 on on ADP cana-1477 139 11 devices device NOUN cana-1477 139 12 with with ADP cana-1477 139 13 limited limited ADJ cana-1477 139 14 ram ram NOUN cana-1477 139 15 and and CCONJ cana-1477 139 16 processor processor NOUN cana-1477 139 17 power power NOUN cana-1477 139 18 since since SCONJ cana-1477 139 19 they they PRON cana-1477 139 20 have have VERB cana-1477 139 21 smaller small ADJ cana-1477 139 22 memory memory NOUN cana-1477 139 23 footprints footprint NOUN cana-1477 139 24 . . PUNCT cana-1477 140 1 this this PRON cana-1477 140 2 is be AUX cana-1477 140 3 especially especially ADV cana-1477 140 4 crucial crucial ADJ cana-1477 140 5 for for ADP cana-1477 140 6 applications application NOUN cana-1477 140 7 related relate VERB cana-1477 140 8 to to ADP cana-1477 140 9 mobile mobile ADJ cana-1477 140 10 health health NOUN cana-1477 140 11 or or CCONJ cana-1477 140 12 in in ADP cana-1477 140 13 environments environment NOUN cana-1477 140 14 without without ADP cana-1477 140 15 access access NOUN cana-1477 140 16 to to ADP cana-1477 140 17 high high ADJ cana-1477 140 18 - - PUNCT cana-1477 140 19 performance performance NOUN cana-1477 140 20 computing compute VERB cana-1477 140 21 resources resource NOUN cana-1477 140 22 . . PUNCT cana-1477 141 1 4 4 X cana-1477 141 2 . . X cana-1477 141 3 interpretability interpretability NOUN cana-1477 141 4 : : PUNCT cana-1477 141 5 svms svms NOUN cana-1477 141 6 are be AUX cana-1477 141 7 often often ADV cana-1477 141 8 more more ADV cana-1477 141 9 interpretable interpretable ADJ cana-1477 141 10 than than ADP cana-1477 141 11 deep deep ADJ cana-1477 141 12 learning learning NOUN cana-1477 141 13 models model NOUN cana-1477 141 14 , , PUNCT cana-1477 141 15 but but CCONJ cana-1477 141 16 not not PART cana-1477 141 17 being be AUX cana-1477 141 18 as as ADV cana-1477 141 19 interpretable interpretable ADJ cana-1477 141 20 as as ADP cana-1477 141 21 some some DET cana-1477 141 22 other other ADJ cana-1477 141 23 models model NOUN cana-1477 141 24 ( ( PUNCT cana-1477 141 25 such such ADJ cana-1477 141 26 as as ADP cana-1477 141 27 decision decision NOUN cana-1477 141 28 trees tree NOUN cana-1477 141 29 ) ) PUNCT cana-1477 141 30 . . PUNCT cana-1477 142 1 this this PRON cana-1477 142 2 might might AUX cana-1477 142 3 be be AUX cana-1477 142 4 significant significant ADJ cana-1477 142 5 in in ADP cana-1477 142 6 medical medical ADJ cana-1477 142 7 applications application NOUN cana-1477 142 8 where where SCONJ cana-1477 142 9 it it PRON cana-1477 142 10 is be AUX cana-1477 142 11 imperative imperative ADJ cana-1477 142 12 to to PART cana-1477 142 13 comprehend comprehend VERB cana-1477 142 14 the the DET cana-1477 142 15 model model NOUN cana-1477 142 16 's 's PART cana-1477 142 17 decision decision NOUN cana-1477 142 18 - - PUNCT cana-1477 142 19 making make VERB cana-1477 142 20 process process NOUN cana-1477 142 21 . . PUNCT cana-1477 143 1 4.2 4.2 NUM cana-1477 143 2 practical practical ADJ cana-1477 143 3 implications implication NOUN cana-1477 143 4 the the DET cana-1477 143 5 performance performance NOUN cana-1477 143 6 of of ADP cana-1477 143 7 our our PRON cana-1477 143 8 svm svm ADJ cana-1477 143 9 model model NOUN cana-1477 143 10 , , PUNCT cana-1477 143 11 combined combine VERB cana-1477 143 12 with with ADP cana-1477 143 13 its its PRON cana-1477 143 14 efficiency efficiency NOUN cana-1477 143 15 , , PUNCT cana-1477 143 16 makes make VERB cana-1477 143 17 it it PRON cana-1477 143 18 a a DET cana-1477 143 19 strong strong ADJ cana-1477 143 20 candidate candidate NOUN cana-1477 143 21 for for ADP cana-1477 143 22 real real ADJ cana-1477 143 23 - - PUNCT cana-1477 143 24 world world NOUN cana-1477 143 25 diabetes diabetes NOUN cana-1477 143 26 risk risk NOUN cana-1477 143 27 screening screen VERB cana-1477 143 28 applications application NOUN cana-1477 143 29 . . PUNCT cana-1477 144 1 its its PRON cana-1477 144 2 ability ability NOUN cana-1477 144 3 to to PART cana-1477 144 4 run run VERB cana-1477 144 5 on on ADP cana-1477 144 6 devices device NOUN cana-1477 144 7 like like ADP cana-1477 144 8 raspberry raspberry NOUN cana-1477 144 9 pi pi NOUN cana-1477 144 10 or or CCONJ cana-1477 144 11 mobile mobile ADJ cana-1477 144 12 phones phone NOUN cana-1477 144 13 could could AUX cana-1477 144 14 enable enable VERB cana-1477 144 15 widespread widespread ADJ cana-1477 144 16 deployment deployment NOUN cana-1477 144 17 in in ADP cana-1477 144 18 various various ADJ cana-1477 144 19 healthcare healthcare NOUN cana-1477 144 20 settings setting NOUN cana-1477 144 21 , , PUNCT cana-1477 144 22 including include VERB cana-1477 144 23 : : PUNCT cana-1477 144 24 ● ● NUM cana-1477 144 25 primary primary ADJ cana-1477 144 26 care care NOUN cana-1477 144 27 clinics clinic NOUN cana-1477 144 28 for for ADP cana-1477 144 29 quick quick ADJ cana-1477 144 30 risk risk NOUN cana-1477 144 31 assessments assessment NOUN cana-1477 144 32 ● ● NUM cana-1477 144 33 mobile mobile ADJ cana-1477 144 34 health health NOUN cana-1477 144 35 units unit NOUN cana-1477 144 36 in in ADP cana-1477 144 37 remote remote ADJ cana-1477 144 38 or or CCONJ cana-1477 144 39 underserved underserved ADJ cana-1477 144 40 areas area NOUN cana-1477 144 41 ● ● NUM cana-1477 144 42 personal personal ADJ cana-1477 144 43 health health NOUN cana-1477 144 44 monitoring monitoring NOUN cana-1477 144 45 devices device NOUN cana-1477 144 46 or or CCONJ cana-1477 144 47 smartphone smartphone NOUN cana-1477 144 48 apps app NOUN cana-1477 144 49 while while SCONJ cana-1477 144 50 cnns cnn NOUN cana-1477 144 51 might might AUX cana-1477 144 52 offer offer VERB cana-1477 144 53 marginal marginal ADJ cana-1477 144 54 improvements improvement NOUN cana-1477 144 55 in in ADP cana-1477 144 56 accuracy accuracy NOUN cana-1477 144 57 , , PUNCT cana-1477 144 58 the the DET cana-1477 144 59 trade trade NOUN cana-1477 144 60 - - PUNCT cana-1477 144 61 off off NOUN cana-1477 144 62 in in ADP cana-1477 144 63 terms term NOUN cana-1477 144 64 of of ADP cana-1477 144 65 computational computational ADJ cana-1477 144 66 resources resource NOUN cana-1477 144 67 and and CCONJ cana-1477 144 68 speed speed NOUN cana-1477 144 69 may may AUX cana-1477 144 70 not not PART cana-1477 144 71 be be AUX cana-1477 144 72 justified justify VERB cana-1477 144 73 for for ADP cana-1477 144 74 many many ADJ cana-1477 144 75 practical practical ADJ cana-1477 144 76 applications application NOUN cana-1477 144 77 . . PUNCT cana-1477 145 1 our our PRON cana-1477 145 2 svm svm PROPN cana-1477 145 3 model model NOUN cana-1477 145 4 strikes strike VERB cana-1477 145 5 a a DET cana-1477 145 6 balance balance NOUN cana-1477 145 7 between between ADP cana-1477 145 8 accuracy accuracy NOUN cana-1477 145 9 and and CCONJ cana-1477 145 10 efficiency efficiency NOUN cana-1477 145 11 , , PUNCT cana-1477 145 12 making make VERB cana-1477 145 13 it it PRON cana-1477 145 14 a a DET cana-1477 145 15 more more ADV cana-1477 145 16 versatile versatile ADJ cana-1477 145 17 solution solution NOUN cana-1477 145 18 for for ADP cana-1477 145 19 real real ADJ cana-1477 145 20 - - PUNCT cana-1477 145 21 world world NOUN cana-1477 145 22 deployment deployment NOUN cana-1477 145 23 . . PUNCT cana-1477 146 1 4.3 4.3 NUM cana-1477 146 2 limitations limitation NOUN cana-1477 146 3 and and CCONJ cana-1477 146 4 future future ADJ cana-1477 146 5 work work NOUN cana-1477 146 6 despite despite SCONJ cana-1477 146 7 the the DET cana-1477 146 8 promising promising ADJ cana-1477 146 9 results result NOUN cana-1477 146 10 , , PUNCT cana-1477 146 11 it it PRON cana-1477 146 12 's be AUX cana-1477 146 13 important important ADJ cana-1477 146 14 to to PART cana-1477 146 15 acknowledge acknowledge VERB cana-1477 146 16 the the DET cana-1477 146 17 limitations limitation NOUN cana-1477 146 18 of of ADP cana-1477 146 19 this this DET cana-1477 146 20 study study NOUN cana-1477 146 21 : : PUNCT cana-1477 146 22 1 1 X cana-1477 146 23 . . PUNCT cana-1477 146 24 dataset dataset ADJ cana-1477 146 25 size size NOUN cana-1477 146 26 : : PUNCT cana-1477 146 27 the the DET cana-1477 146 28 kaggle kaggle ADJ cana-1477 146 29 diabetes diabetes NOUN cana-1477 146 30 dataset dataset VERB cana-1477 146 31 , , PUNCT cana-1477 146 32 while while SCONJ cana-1477 146 33 widely widely ADV cana-1477 146 34 used use VERB cana-1477 146 35 , , PUNCT cana-1477 146 36 is be AUX cana-1477 146 37 relatively relatively ADV cana-1477 146 38 small small ADJ cana-1477 146 39 . . PUNCT cana-1477 147 1 validation validation NOUN cana-1477 147 2 on on ADP cana-1477 147 3 larger large ADJ cana-1477 147 4 , , PUNCT cana-1477 147 5 more more ADV cana-1477 147 6 diverse diverse ADJ cana-1477 147 7 datasets dataset NOUN cana-1477 147 8 would would AUX cana-1477 147 9 be be AUX cana-1477 147 10 beneficial beneficial ADJ cana-1477 147 11 to to PART cana-1477 147 12 ensure ensure VERB cana-1477 147 13 the the DET cana-1477 147 14 model model NOUN cana-1477 147 15 's 's PART cana-1477 147 16 generalizability generalizability NOUN cana-1477 147 17 . . PUNCT cana-1477 148 1 2 2 X cana-1477 148 2 . . X cana-1477 148 3 feature feature NOUN cana-1477 148 4 selection selection NOUN cana-1477 148 5 : : PUNCT cana-1477 148 6 while while SCONJ cana-1477 148 7 we we PRON cana-1477 148 8 carefully carefully ADV cana-1477 148 9 selected select VERB cana-1477 148 10 features feature NOUN cana-1477 148 11 based base VERB cana-1477 148 12 on on ADP cana-1477 148 13 correlation correlation NOUN cana-1477 148 14 analysis analysis NOUN cana-1477 148 15 , , PUNCT cana-1477 148 16 other other ADJ cana-1477 148 17 feature feature NOUN cana-1477 148 18 selection selection NOUN cana-1477 148 19 methods method NOUN cana-1477 148 20 could could AUX cana-1477 148 21 potentially potentially ADV cana-1477 148 22 improve improve VERB cana-1477 148 23 the the DET cana-1477 148 24 model model NOUN cana-1477 148 25 's 's PART cana-1477 148 26 performance performance NOUN cana-1477 148 27 . . PUNCT cana-1477 149 1 future future ADJ cana-1477 149 2 work work NOUN cana-1477 149 3 could could AUX cana-1477 149 4 explore explore VERB cana-1477 149 5 more more ADV cana-1477 149 6 advanced advanced ADJ cana-1477 149 7 feature feature NOUN cana-1477 149 8 selection selection NOUN cana-1477 149 9 techniques technique NOUN cana-1477 149 10 or or CCONJ cana-1477 149 11 incorporate incorporate VERB cana-1477 149 12 domain domain NOUN cana-1477 149 13 expertise expertise NOUN cana-1477 149 14 to to PART cana-1477 149 15 refine refine VERB cana-1477 149 16 the the DET cana-1477 149 17 feature feature NOUN cana-1477 149 18 set set VERB cana-1477 149 19 . . PUNCT cana-1477 150 1 3 3 X cana-1477 150 2 . . X cana-1477 150 3 comparison comparison NOUN cana-1477 150 4 with with ADP cana-1477 150 5 other other ADJ cana-1477 150 6 algorithms algorithm NOUN cana-1477 150 7 : : PUNCT cana-1477 150 8 a a DET cana-1477 150 9 more more ADV cana-1477 150 10 comprehensive comprehensive ADJ cana-1477 150 11 comparison comparison NOUN cana-1477 150 12 with with ADP cana-1477 150 13 other other ADJ cana-1477 150 14 machine machine NOUN cana-1477 150 15 learning learn VERB cana-1477 150 16 algorithms algorithm NOUN cana-1477 150 17 , , PUNCT cana-1477 150 18 including include VERB cana-1477 150 19 ensemble ensemble ADJ cana-1477 150 20 methods method NOUN cana-1477 150 21 and and CCONJ cana-1477 150 22 other other ADJ cana-1477 150 23 svms svms NOUN cana-1477 150 24 with with ADP cana-1477 150 25 different different ADJ cana-1477 150 26 kernels kernel NOUN cana-1477 150 27 , , PUNCT cana-1477 150 28 could could AUX cana-1477 150 29 provide provide VERB cana-1477 150 30 further further ADJ cana-1477 150 31 insights insight NOUN cana-1477 150 32 into into ADP cana-1477 150 33 the the DET cana-1477 150 34 relative relative ADJ cana-1477 150 35 strengths strength NOUN cana-1477 150 36 of of ADP cana-1477 150 37 our our PRON cana-1477 150 38 approach approach NOUN cana-1477 150 39 . . PUNCT cana-1477 151 1 4 4 X cana-1477 151 2 . . X cana-1477 151 3 real real ADJ cana-1477 151 4 - - PUNCT cana-1477 151 5 world world NOUN cana-1477 151 6 validation validation NOUN cana-1477 151 7 : : PUNCT cana-1477 151 8 while while SCONJ cana-1477 151 9 our our PRON cana-1477 151 10 model model NOUN cana-1477 151 11 performs perform VERB cana-1477 151 12 well well ADV cana-1477 151 13 in in ADP cana-1477 151 14 controlled control VERB cana-1477 151 15 conditions condition NOUN cana-1477 151 16 , , PUNCT cana-1477 151 17 it it PRON cana-1477 151 18 is be AUX cana-1477 151 19 imperative imperative ADJ cana-1477 151 20 that that SCONJ cana-1477 151 21 it it PRON cana-1477 151 22 first first ADV cana-1477 151 23 undergo undergo VERB cana-1477 151 24 real real ADJ cana-1477 151 25 - - PUNCT cana-1477 151 26 world world NOUN cana-1477 151 27 validation validation NOUN cana-1477 151 28 in in ADP cana-1477 151 29 clinical clinical ADJ cana-1477 151 30 settings setting NOUN cana-1477 151 31 before before SCONJ cana-1477 151 32 it it PRON cana-1477 151 33 is be AUX cana-1477 151 34 potentially potentially ADV cana-1477 151 35 put put VERB cana-1477 151 36 into into ADP cana-1477 151 37 practice practice NOUN cana-1477 151 38 in in ADP cana-1477 151 39 healthcare healthcare NOUN cana-1477 151 40 settings setting NOUN cana-1477 151 41 . . PUNCT cana-1477 152 1 communications communication NOUN cana-1477 152 2 on on ADP cana-1477 152 3 applied apply VERB cana-1477 152 4 nonlinear nonlinear ADJ cana-1477 152 5 analysis analysis NOUN cana-1477 152 6 issn issn NOUN cana-1477 152 7 : : PUNCT cana-1477 152 8 1074 1074 NUM cana-1477 152 9 - - PUNCT cana-1477 152 10 133x 133x NUM cana-1477 152 11 vol vol NOUN cana-1477 152 12 31 31 NUM cana-1477 152 13 no no NOUN cana-1477 152 14 . . PUNCT cana-1477 153 1 8s 8s PROPN cana-1477 153 2 ( ( PUNCT cana-1477 153 3 2024 2024 NUM cana-1477 153 4 ) ) PUNCT cana-1477 153 5 246 246 NUM cana-1477 154 1 https://internationalpubls.com https://internationalpubls.com X cana-1477 154 2 5 5 X cana-1477 154 3 . . PUNCT cana-1477 155 1 interpretability interpretability NOUN cana-1477 155 2 : : PUNCT cana-1477 155 3 while while SCONJ cana-1477 155 4 deep deep ADJ cana-1477 155 5 learning learning NOUN cana-1477 155 6 models model NOUN cana-1477 155 7 are be AUX cana-1477 155 8 less less ADV cana-1477 155 9 interpretable interpretable ADJ cana-1477 155 10 than than ADP cana-1477 155 11 svms svms NOUN cana-1477 155 12 , , PUNCT cana-1477 155 13 our our PRON cana-1477 155 14 model model NOUN cana-1477 155 15 's 's PART cana-1477 155 16 interpretability interpretability NOUN cana-1477 155 17 could could AUX cana-1477 155 18 be be AUX cana-1477 155 19 improved improve VERB cana-1477 155 20 to to PART cana-1477 155 21 increase increase VERB cana-1477 155 22 its its PRON cana-1477 155 23 acceptance acceptance NOUN cana-1477 155 24 in in ADP cana-1477 155 25 clinical clinical ADJ cana-1477 155 26 settings setting NOUN cana-1477 155 27 . . PUNCT cana-1477 156 1 in in ADP cana-1477 156 2 the the DET cana-1477 156 3 future future NOUN cana-1477 156 4 , , PUNCT cana-1477 156 5 efforts effort NOUN cana-1477 156 6 might might AUX cana-1477 156 7 concentrate concentrate VERB cana-1477 156 8 on on ADP cana-1477 156 9 creating create VERB cana-1477 156 10 detailed detailed ADJ cana-1477 156 11 explanations explanation NOUN cana-1477 156 12 for for ADP cana-1477 156 13 the the DET cana-1477 156 14 model model NOUN cana-1477 156 15 's 's PART cana-1477 156 16 predictions prediction NOUN cana-1477 156 17 . . PUNCT cana-1477 157 1 5 5 X cana-1477 157 2 . . X cana-1477 157 3 conclusion conclusion NOUN cana-1477 157 4 in in ADP cana-1477 157 5 terms term NOUN cana-1477 157 6 of of ADP cana-1477 157 7 forecasting forecasting NOUN cana-1477 157 8 diabetes diabetes NOUN cana-1477 157 9 risk risk NOUN cana-1477 157 10 , , PUNCT cana-1477 157 11 our our PRON cana-1477 157 12 svm svm PROPN cana-1477 157 13 model model NOUN cana-1477 157 14 shows show VERB cana-1477 157 15 a a DET cana-1477 157 16 good good ADJ cana-1477 157 17 trade trade NOUN cana-1477 157 18 - - PUNCT cana-1477 157 19 off off NOUN cana-1477 157 20 between between ADP cana-1477 157 21 accuracy accuracy NOUN cana-1477 157 22 and and CCONJ cana-1477 157 23 efficiency efficiency NOUN cana-1477 157 24 . . PUNCT cana-1477 158 1 its its PRON cana-1477 158 2 ability ability NOUN cana-1477 158 3 for for ADP cana-1477 158 4 implementation implementation NOUN cana-1477 158 5 on on ADP cana-1477 158 6 devices device NOUN cana-1477 158 7 with with ADP cana-1477 158 8 limited limited ADJ cana-1477 158 9 resources resource NOUN cana-1477 158 10 creates create VERB cana-1477 158 11 opportunities opportunity NOUN cana-1477 158 12 for for ADP cana-1477 158 13 diabetes diabetes NOUN cana-1477 158 14 risk risk NOUN cana-1477 158 15 screening screen VERB cana-1477 158 16 to to PART cana-1477 158 17 be be AUX cana-1477 158 18 widely widely ADV cana-1477 158 19 available available ADJ cana-1477 158 20 and and CCONJ cana-1477 158 21 accessible accessible ADJ cana-1477 158 22 . . PUNCT cana-1477 159 1 to to PART cana-1477 159 2 properly properly ADV cana-1477 159 3 comprehend comprehend VERB cana-1477 159 4 its its PRON cana-1477 159 5 possible possible ADJ cana-1477 159 6 influence influence NOUN cana-1477 159 7 on on ADP cana-1477 159 8 clinical clinical ADJ cana-1477 159 9 practice practice NOUN cana-1477 159 10 and and CCONJ cana-1477 159 11 public public ADJ cana-1477 159 12 health health NOUN cana-1477 159 13 initiatives initiative NOUN cana-1477 159 14 for for ADP cana-1477 159 15 diabetes diabetes NOUN cana-1477 159 16 management management NOUN cana-1477 159 17 and and CCONJ cana-1477 159 18 prevention prevention NOUN cana-1477 159 19 , , PUNCT cana-1477 159 20 more more ADJ cana-1477 159 21 investigation investigation NOUN cana-1477 159 22 and and CCONJ cana-1477 159 23 validation validation NOUN cana-1477 159 24 are be AUX cana-1477 159 25 required require VERB cana-1477 159 26 . . PUNCT cana-1477 160 1 references reference NOUN cana-1477 160 2 [ [ X cana-1477 160 3 1 1 NUM cana-1477 160 4 ] ] X cana-1477 160 5 alehegn alehegn PROPN cana-1477 160 6 , , PUNCT cana-1477 160 7 m. m. NOUN cana-1477 160 8 , , PUNCT cana-1477 160 9 joshi joshi PROPN cana-1477 160 10 , , PUNCT cana-1477 160 11 r. r. PROPN cana-1477 160 12 r. r. PROPN cana-1477 160 13 , , PUNCT cana-1477 160 14 & & CCONJ cana-1477 160 15 mulay mulay PROPN cana-1477 160 16 , , PUNCT cana-1477 160 17 p. p. NOUN cana-1477 160 18 ( ( PUNCT cana-1477 160 19 2022 2022 NUM cana-1477 160 20 ) ) PUNCT cana-1477 160 21 . . PUNCT cana-1477 161 1 diabetes diabetes NOUN cana-1477 161 2 analysis analysis NOUN cana-1477 161 3 and and CCONJ cana-1477 161 4 prediction prediction NOUN cana-1477 161 5 using use VERB cana-1477 161 6 random random ADJ cana-1477 161 7 forest forest NOUN cana-1477 161 8 , , PUNCT cana-1477 161 9 xgboost xgboost ADV cana-1477 161 10 , , PUNCT cana-1477 161 11 and and CCONJ cana-1477 161 12 lightgbm lightgbm VERB cana-1477 161 13 ensemble ensemble ADJ cana-1477 161 14 learning learning NOUN cana-1477 161 15 . . PUNCT cana-1477 162 1 sn sn PROPN cana-1477 162 2 computer computer NOUN cana-1477 162 3 science science NOUN cana-1477 162 4 , , PUNCT cana-1477 162 5 3(2 3(2 NUM cana-1477 162 6 ) ) PUNCT cana-1477 162 7 , , PUNCT cana-1477 162 8 1 1 NUM cana-1477 162 9 - - SYM cana-1477 162 10 14 14 NUM cana-1477 162 11 . . PUNCT cana-1477 163 1 [ [ X cana-1477 163 2 2 2 NUM cana-1477 163 3 ] ] PUNCT cana-1477 163 4 chandrasekar chandrasekar NOUN cana-1477 163 5 , , PUNCT cana-1477 163 6 p. p. PROPN cana-1477 163 7 , , PUNCT cana-1477 163 8 qian qian PROPN cana-1477 163 9 , , PUNCT cana-1477 163 10 k. k. PROPN cana-1477 163 11 , , PUNCT cana-1477 163 12 shahriar shahriar PROPN cana-1477 163 13 , , PUNCT cana-1477 163 14 h. h. PROPN cana-1477 163 15 , , PUNCT cana-1477 163 16 & & CCONJ cana-1477 163 17 bhattacharya bhattacharya PROPN cana-1477 163 18 , , PUNCT cana-1477 163 19 p. p. NOUN cana-1477 163 20 ( ( PUNCT cana-1477 163 21 2022 2022 NUM cana-1477 163 22 ) ) PUNCT cana-1477 163 23 . . PUNCT cana-1477 164 1 improving improve VERB cana-1477 164 2 the the DET cana-1477 164 3 prediction prediction NOUN cana-1477 164 4 of of ADP cana-1477 164 5 diabetes diabetes NOUN cana-1477 164 6 using use VERB cana-1477 164 7 deep deep ADJ cana-1477 164 8 learning learning NOUN cana-1477 164 9 approach approach NOUN cana-1477 164 10 . . PUNCT cana-1477 165 1 journal journal PROPN cana-1477 165 2 of of ADP cana-1477 165 3 ambient ambient ADJ cana-1477 165 4 intelligence intelligence NOUN cana-1477 165 5 and and CCONJ cana-1477 165 6 humanized humanize VERB cana-1477 165 7 computing computing NOUN cana-1477 165 8 , , PUNCT cana-1477 165 9 13(1 13(1 NUM cana-1477 165 10 ) ) PUNCT cana-1477 165 11 , , PUNCT cana-1477 165 12 667 667 NUM cana-1477 165 13 - - SYM cana-1477 165 14 677 677 NUM cana-1477 165 15 . . PUNCT cana-1477 166 1 [ [ X cana-1477 166 2 3 3 NUM cana-1477 166 3 ] ] X cana-1477 166 4 ganapathy ganapathy PROPN cana-1477 166 5 , , PUNCT cana-1477 166 6 n. n. NOUN cana-1477 166 7 , , PUNCT cana-1477 166 8 swaminathan swaminathan ADV cana-1477 166 9 , , PUNCT cana-1477 166 10 r. r. PROPN cana-1477 166 11 , , PUNCT cana-1477 166 12 & & CCONJ cana-1477 166 13 deserno deserno NOUN cana-1477 166 14 , , PUNCT cana-1477 166 15 t. t. NOUN cana-1477 166 16 m. m. NOUN cana-1477 166 17 ( ( PUNCT cana-1477 166 18 2020 2020 NUM cana-1477 166 19 ) ) PUNCT cana-1477 166 20 . . PUNCT cana-1477 167 1 deep deep ADJ cana-1477 167 2 learning learning NOUN cana-1477 167 3 on on ADP cana-1477 167 4 1 1 NUM cana-1477 167 5 - - PUNCT cana-1477 167 6 d d NOUN cana-1477 167 7 biosignals biosignal NOUN cana-1477 167 8 : : PUNCT cana-1477 167 9 a a DET cana-1477 167 10 taxonomy taxonomy NOUN cana-1477 167 11 - - PUNCT cana-1477 167 12 based base VERB cana-1477 167 13 survey survey NOUN cana-1477 167 14 . . PUNCT cana-1477 168 1 yearbook yearbook NOUN cana-1477 168 2 of of ADP cana-1477 168 3 medical medical ADJ cana-1477 168 4 informatics informatic NOUN cana-1477 168 5 , , PUNCT cana-1477 168 6 29(1 29(1 NUM cana-1477 168 7 ) ) PUNCT cana-1477 168 8 , , PUNCT cana-1477 168 9 98 98 NUM cana-1477 168 10 - - SYM cana-1477 168 11 109 109 NUM cana-1477 168 12 . . PUNCT cana-1477 169 1 [ [ X cana-1477 169 2 4 4 NUM cana-1477 169 3 ] ] X cana-1477 169 4 gupta gupta PROPN cana-1477 169 5 , , PUNCT cana-1477 169 6 a. a. PROPN cana-1477 169 7 , , PUNCT cana-1477 169 8 xu xu PROPN cana-1477 169 9 , , PUNCT cana-1477 169 10 j. j. PROPN cana-1477 169 11 , , PUNCT cana-1477 169 12 wang wang PROPN cana-1477 169 13 , , PUNCT cana-1477 169 14 j. j. PROPN cana-1477 169 15 , , PUNCT cana-1477 169 16 zhan zhan PROPN cana-1477 169 17 , , PUNCT cana-1477 169 18 y. y. PROPN cana-1477 169 19 , , PUNCT cana-1477 169 20 & & CCONJ cana-1477 169 21 iyengar iyengar PROPN cana-1477 169 22 , , PUNCT cana-1477 169 23 s. s. PROPN cana-1477 169 24 s. s. PROPN cana-1477 169 25 ( ( PUNCT cana-1477 169 26 2022 2022 NUM cana-1477 169 27 ) ) PUNCT cana-1477 169 28 . . PUNCT cana-1477 170 1 feddiabetes feddiabete NOUN cana-1477 170 2 : : PUNCT cana-1477 170 3 a a DET cana-1477 170 4 federated federated ADJ cana-1477 170 5 transfer transfer NOUN cana-1477 170 6 learning learn VERB cana-1477 170 7 framework framework NOUN cana-1477 170 8 for for ADP cana-1477 170 9 early early ADJ cana-1477 170 10 detection detection NOUN cana-1477 170 11 of of ADP cana-1477 170 12 diabetes diabetes NOUN cana-1477 170 13 . . PUNCT cana-1477 171 1 ieee ieee PROPN cana-1477 171 2 journal journal PROPN cana-1477 171 3 of of ADP cana-1477 171 4 biomedical biomedical ADJ cana-1477 171 5 and and CCONJ cana-1477 171 6 health health NOUN cana-1477 171 7 informatics informatic NOUN cana-1477 171 8 , , PUNCT cana-1477 171 9 26(6 26(6 NUM cana-1477 171 10 ) ) PUNCT cana-1477 171 11 , , PUNCT cana-1477 171 12 2802 2802 NUM cana-1477 171 13 - - SYM cana-1477 171 14 2813 2813 NUM cana-1477 171 15 . . PUNCT cana-1477 172 1 [ [ X cana-1477 172 2 5 5 NUM cana-1477 172 3 ] ] X cana-1477 172 4 kopitar kopitar PROPN cana-1477 172 5 , , PUNCT cana-1477 172 6 l. l. PROPN cana-1477 172 7 , , PUNCT cana-1477 172 8 kocbek kocbek PROPN cana-1477 172 9 , , PUNCT cana-1477 172 10 p. p. NOUN cana-1477 172 11 , , PUNCT cana-1477 172 12 cilar cilar ADJ cana-1477 172 13 , , PUNCT cana-1477 172 14 l. l. PROPN cana-1477 172 15 , , PUNCT cana-1477 172 16 sheikh sheikh PROPN cana-1477 172 17 , , PUNCT cana-1477 172 18 a. a. PROPN cana-1477 172 19 , , PUNCT cana-1477 172 20 & & CCONJ cana-1477 172 21 stiglic stiglic PROPN cana-1477 172 22 , , PUNCT cana-1477 172 23 g. g. PROPN cana-1477 172 24 ( ( PUNCT cana-1477 172 25 2020 2020 NUM cana-1477 172 26 ) ) PUNCT cana-1477 172 27 . . PUNCT cana-1477 173 1 early early ADJ cana-1477 173 2 detection detection NOUN cana-1477 173 3 of of ADP cana-1477 173 4 type type NOUN cana-1477 173 5 2 2 NUM cana-1477 173 6 diabetes diabetes NOUN cana-1477 173 7 mellitus mellitus NOUN cana-1477 173 8 using use VERB cana-1477 173 9 machine machine NOUN cana-1477 173 10 learning learning NOUN cana-1477 173 11 - - PUNCT cana-1477 173 12 based base VERB cana-1477 173 13 prediction prediction NOUN cana-1477 173 14 models model NOUN cana-1477 173 15 . . PUNCT cana-1477 174 1 scientific scientific ADJ cana-1477 174 2 reports report NOUN cana-1477 174 3 , , PUNCT cana-1477 174 4 10(1 10(1 NUM cana-1477 174 5 ) ) PUNCT cana-1477 174 6 , , PUNCT cana-1477 174 7 1 1 NUM cana-1477 174 8 - - SYM cana-1477 174 9 12 12 NUM cana-1477 174 10 . . PUNCT cana-1477 175 1 [ [ X cana-1477 175 2 6 6 NUM cana-1477 175 3 ] ] SYM cana-1477 175 4 kumar kumar PROPN cana-1477 175 5 , , PUNCT cana-1477 175 6 a. a. PROPN cana-1477 175 7 , , PUNCT cana-1477 175 8 srivastava srivastava PROPN cana-1477 175 9 , , PUNCT cana-1477 175 10 s. s. PROPN cana-1477 175 11 , , PUNCT cana-1477 175 12 & & CCONJ cana-1477 175 13 mishra mishra PROPN cana-1477 175 14 , , PUNCT cana-1477 175 15 s. s. PROPN cana-1477 175 16 k. k. PROPN cana-1477 175 17 ( ( PUNCT cana-1477 175 18 2021 2021 NUM cana-1477 175 19 ) ) PUNCT cana-1477 175 20 . . PUNCT cana-1477 176 1 a a DET cana-1477 176 2 comprehensive comprehensive ADJ cana-1477 176 3 review review NOUN cana-1477 176 4 on on ADP cana-1477 176 5 diabetes diabetes NOUN cana-1477 176 6 prediction prediction NOUN cana-1477 176 7 using use VERB cana-1477 176 8 machine machine NOUN cana-1477 176 9 learning learning NOUN cana-1477 176 10 . . PUNCT cana-1477 177 1 journal journal PROPN cana-1477 177 2 of of ADP cana-1477 177 3 ambient ambient ADJ cana-1477 177 4 intelligence intelligence NOUN cana-1477 177 5 and and CCONJ cana-1477 177 6 humanized humanize VERB cana-1477 177 7 computing computing NOUN cana-1477 177 8 , , PUNCT cana-1477 177 9 12(8 12(8 NUM cana-1477 177 10 ) ) PUNCT cana-1477 177 11 , , PUNCT cana-1477 177 12 8191 8191 NUM cana-1477 177 13 - - SYM cana-1477 177 14 8210 8210 NUM cana-1477 177 15 . . PUNCT cana-1477 178 1 [ [ X cana-1477 178 2 7 7 NUM cana-1477 178 3 ] ] X cana-1477 178 4 malik malik PROPN cana-1477 178 5 , , PUNCT cana-1477 178 6 s. s. PROPN cana-1477 178 7 , , PUNCT cana-1477 178 8 harous harous ADJ cana-1477 178 9 , , PUNCT cana-1477 178 10 s. s. PROPN cana-1477 178 11 , , PUNCT cana-1477 178 12 & & CCONJ cana-1477 178 13 el el PROPN cana-1477 178 14 - - PUNCT cana-1477 178 15 sayed say VERB cana-1477 178 16 , , PUNCT cana-1477 178 17 h. h. PROPN cana-1477 178 18 ( ( PUNCT cana-1477 178 19 2021 2021 NUM cana-1477 178 20 ) ) PUNCT cana-1477 178 21 . . PUNCT cana-1477 179 1 comparative comparative ADJ cana-1477 179 2 analysis analysis NOUN cana-1477 179 3 of of ADP cana-1477 179 4 machine machine NOUN cana-1477 179 5 learning learn VERB cana-1477 179 6 algorithms algorithm NOUN cana-1477 179 7 for for ADP cana-1477 179 8 early early ADJ cana-1477 179 9 diabetes diabetes NOUN cana-1477 179 10 detection detection NOUN cana-1477 179 11 . . PUNCT cana-1477 180 1 journal journal NOUN cana-1477 180 2 of of ADP cana-1477 180 3 applied apply VERB cana-1477 180 4 science science NOUN cana-1477 180 5 and and CCONJ cana-1477 180 6 engineering engineering NOUN cana-1477 180 7 , , PUNCT cana-1477 180 8 24(5 24(5 NUM cana-1477 180 9 ) ) PUNCT cana-1477 180 10 , , PUNCT cana-1477 180 11 855 855 NUM cana-1477 180 12 - - SYM cana-1477 180 13 863 863 NUM cana-1477 180 14 . . PUNCT cana-1477 181 1 [ [ X cana-1477 181 2 8 8 NUM cana-1477 181 3 ] ] PUNCT cana-1477 181 4 sisodia sisodia PROPN cana-1477 181 5 , , PUNCT cana-1477 181 6 d. d. PROPN cana-1477 181 7 , , PUNCT cana-1477 181 8 & & CCONJ cana-1477 181 9 sisodia sisodia PROPN cana-1477 181 10 , , PUNCT cana-1477 181 11 d. d. PROPN cana-1477 181 12 s. s. PROPN cana-1477 181 13 ( ( PUNCT cana-1477 181 14 2018 2018 NUM cana-1477 181 15 ) ) PUNCT cana-1477 181 16 . . PUNCT cana-1477 182 1 prediction prediction NOUN cana-1477 182 2 of of ADP cana-1477 182 3 diabetes diabetes NOUN cana-1477 182 4 using use VERB cana-1477 182 5 classification classification NOUN cana-1477 182 6 algorithms algorithm NOUN cana-1477 182 7 . . PUNCT cana-1477 183 1 procedia procedia NOUN cana-1477 183 2 computer computer NOUN cana-1477 183 3 science science NOUN cana-1477 183 4 , , PUNCT cana-1477 183 5 132 132 NUM cana-1477 183 6 , , PUNCT cana-1477 183 7 1578 1578 NUM cana-1477 183 8 - - SYM cana-1477 183 9 1585 1585 NUM cana-1477 183 10 . . PUNCT cana-1477 184 1 [ [ X cana-1477 184 2 9 9 NUM cana-1477 184 3 ] ] SYM cana-1477 184 4 tigga tigga PROPN cana-1477 184 5 , , PUNCT cana-1477 184 6 n. n. PROPN cana-1477 184 7 p. p. PROPN cana-1477 184 8 , , PUNCT cana-1477 184 9 & & CCONJ cana-1477 184 10 garg garg PROPN cana-1477 184 11 , , PUNCT cana-1477 184 12 s. s. PROPN cana-1477 184 13 ( ( PUNCT cana-1477 184 14 2020 2020 NUM cana-1477 184 15 ) ) PUNCT cana-1477 184 16 . . PUNCT cana-1477 185 1 prediction prediction NOUN cana-1477 185 2 of of ADP cana-1477 185 3 type type NOUN cana-1477 185 4 2 2 NUM cana-1477 185 5 diabetes diabetes NOUN cana-1477 185 6 using use VERB cana-1477 185 7 machine machine NOUN cana-1477 185 8 learning learn VERB cana-1477 185 9 classification classification NOUN cana-1477 185 10 methods method NOUN cana-1477 185 11 . . PUNCT cana-1477 186 1 procedia procedia PROPN cana-1477 186 2 computer computer NOUN cana-1477 186 3 science science NOUN cana-1477 186 4 , , PUNCT cana-1477 186 5 167 167 NUM cana-1477 186 6 , , PUNCT cana-1477 186 7 706 706 NUM cana-1477 186 8 - - SYM cana-1477 186 9 716 716 NUM cana-1477 186 10 . . PUNCT cana-1477 187 1 [ [ X cana-1477 187 2 10 10 NUM cana-1477 187 3 ] ] PUNCT cana-1477 187 4 world world NOUN cana-1477 187 5 health health NOUN cana-1477 187 6 organization organization NOUN cana-1477 187 7 . . PUNCT cana-1477 188 1 ( ( PUNCT cana-1477 188 2 2021 2021 NUM cana-1477 188 3 ) ) PUNCT cana-1477 188 4 . . PUNCT cana-1477 189 1 diabetes diabetes NOUN cana-1477 189 2 . . PUNCT cana-1477 190 1 https://www.who.int/news-room/fact-sheets/detail/diabetes https://www.who.int/news-room/fact-sheets/detail/diabete NOUN cana-1477 191 1 [ [ X cana-1477 191 2 11 11 NUM cana-1477 191 3 ] ] X cana-1477 191 4 zhang zhang PROPN cana-1477 191 5 , , PUNCT cana-1477 191 6 l. l. PROPN cana-1477 191 7 , , PUNCT cana-1477 191 8 wang wang PROPN cana-1477 191 9 , , PUNCT cana-1477 191 10 y. y. PROPN cana-1477 191 11 , , PUNCT cana-1477 191 12 niu niu PROPN cana-1477 191 13 , , PUNCT cana-1477 191 14 m. m. NOUN cana-1477 191 15 , , PUNCT cana-1477 191 16 wang wang PROPN cana-1477 191 17 , , PUNCT cana-1477 191 18 c. c. PROPN cana-1477 191 19 , , PUNCT cana-1477 191 20 & & CCONJ cana-1477 191 21 wang wang PROPN cana-1477 191 22 , , PUNCT cana-1477 191 23 z. z. PROPN cana-1477 191 24 ( ( PUNCT cana-1477 191 25 2023 2023 NUM cana-1477 191 26 ) ) PUNCT cana-1477 191 27 . . PUNCT cana-1477 192 1 machine machine NOUN cana-1477 192 2 learning learning NOUN cana-1477 192 3 - - PUNCT cana-1477 192 4 based base VERB cana-1477 192 5 prediction prediction NOUN cana-1477 192 6 of of ADP cana-1477 192 7 diabetes diabetes NOUN cana-1477 192 8 mellitus mellitus NOUN cana-1477 192 9 using use VERB cana-1477 192 10 multi multi ADJ cana-1477 192 11 - - ADJ cana-1477 192 12 omics omics ADJ cana-1477 192 13 data datum NOUN cana-1477 192 14 . . PUNCT cana-1477 193 1 frontiers frontier NOUN cana-1477 193 2 in in ADP cana-1477 193 3 genetics genetic NOUN cana-1477 193 4 , , PUNCT cana-1477 193 5 14 14 NUM cana-1477 193 6 , , PUNCT cana-1477 193 7 1130656 1130656 NUM cana-1477 193 8 . . PUNCT cana-1477 194 1 [ [ X cana-1477 194 2 12 12 NUM cana-1477 194 3 ] ] X cana-1477 194 4 national national PROPN cana-1477 194 5 institute institute PROPN cana-1477 194 6 of of ADP cana-1477 194 7 diabetes diabetes NOUN cana-1477 194 8 and and CCONJ cana-1477 194 9 digestive digestive ADJ cana-1477 194 10 and and CCONJ cana-1477 194 11 kidney kidney NOUN cana-1477 194 12 diseases disease NOUN cana-1477 194 13 . . PUNCT cana-1477 195 1 ( ( PUNCT cana-1477 195 2 n.d n.d PROPN cana-1477 195 3 . . PROPN cana-1477 195 4 ) ) PUNCT cana-1477 195 5 . . PUNCT cana-1477 196 1 diabetes diabetes NOUN cana-1477 196 2 dataset dataset VERB cana-1477 196 3 . . PUNCT cana-1477 197 1 kaggle kaggle VERB cana-1477 197 2 . . PUNCT cana-1477 198 1 [ [ X cana-1477 198 2 dataset dataset X cana-1477 198 3 ] ] X cana-1477 198 4 . . PUNCT cana-1477 199 1 https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database PROPN cana-1477 200 1 [ [ X cana-1477 200 2 13 13 NUM cana-1477 200 3 ] ] PUNCT cana-1477 200 4 donders donder NOUN cana-1477 200 5 , , PUNCT cana-1477 200 6 a. a. PROPN cana-1477 200 7 r. r. PROPN cana-1477 200 8 t. t. PROPN cana-1477 200 9 , , PUNCT cana-1477 200 10 van van PROPN cana-1477 200 11 der der PROPN cana-1477 200 12 heijden heijden PROPN cana-1477 200 13 , , PUNCT cana-1477 200 14 g. g. PROPN cana-1477 200 15 j. j. PROPN cana-1477 200 16 m. m. PROPN cana-1477 200 17 g. g. PROPN cana-1477 200 18 , , PUNCT cana-1477 200 19 stijnen stijnen PROPN cana-1477 200 20 , , PUNCT cana-1477 200 21 t. t. PROPN cana-1477 200 22 , , PUNCT cana-1477 200 23 & & CCONJ cana-1477 200 24 moons moon NOUN cana-1477 200 25 , , PUNCT cana-1477 200 26 k. k. PROPN cana-1477 200 27 g. g. PROPN cana-1477 200 28 m. m. PROPN cana-1477 200 29 ( ( PUNCT cana-1477 200 30 2006 2006 NUM cana-1477 200 31 ) ) PUNCT cana-1477 200 32 . . PUNCT cana-1477 201 1 review review NOUN cana-1477 201 2 : : PUNCT cana-1477 201 3 a a DET cana-1477 201 4 gentle gentle ADJ cana-1477 201 5 introduction introduction NOUN cana-1477 201 6 to to ADP cana-1477 201 7 imputation imputation NOUN cana-1477 201 8 of of ADP cana-1477 201 9 missing miss VERB cana-1477 201 10 values value NOUN cana-1477 201 11 . . PUNCT cana-1477 202 1 journal journal NOUN cana-1477 202 2 of of ADP cana-1477 202 3 clinical clinical ADJ cana-1477 202 4 epidemiology epidemiology NOUN cana-1477 202 5 , , PUNCT cana-1477 202 6 59(10 59(10 NUM cana-1477 202 7 ) ) PUNCT cana-1477 202 8 , , PUNCT cana-1477 202 9 1087 1087 NUM cana-1477 202 10 - - SYM cana-1477 202 11 1091 1091 NUM cana-1477 202 12 . . PUNCT cana-1477 203 1 https://doi.org/10.1016/j.jclinepi.2006.01.014 https://doi.org/10.1016/j.jclinepi.2006.01.014 PROPN cana-1477 204 1 [ [ X cana-1477 204 2 14 14 NUM cana-1477 204 3 ] ] X cana-1477 204 4 ghosh ghosh PROPN cana-1477 204 5 , , PUNCT cana-1477 204 6 d. d. PROPN cana-1477 204 7 , , PUNCT cana-1477 204 8 & & CCONJ cana-1477 204 9 vogt vogt PROPN cana-1477 204 10 , , PUNCT cana-1477 204 11 a. a. NOUN cana-1477 204 12 ( ( PUNCT cana-1477 204 13 2012 2012 NUM cana-1477 204 14 ) ) PUNCT cana-1477 204 15 . . PUNCT cana-1477 205 1 outliers outlier NOUN cana-1477 205 2 : : PUNCT cana-1477 205 3 an an DET cana-1477 205 4 evaluation evaluation NOUN cana-1477 205 5 of of ADP cana-1477 205 6 methodologies methodology NOUN cana-1477 205 7 . . PUNCT cana-1477 206 1 joint joint ADJ cana-1477 206 2 statistical statistical ADJ cana-1477 206 3 meetings meeting NOUN cana-1477 206 4 , , PUNCT cana-1477 206 5 3455 3455 NUM cana-1477 206 6 - - SYM cana-1477 206 7 3460 3460 NUM cana-1477 206 8 . . PUNCT cana-1477 207 1 https://www.amstat.org/sections/srms/proceedings/y2012/files/304068_72402.pdf https://www.amstat.org/sections/srms/proceedings/y2012/files/304068_72402.pdf PROPN cana-1477 207 2 [ [ X cana-1477 207 3 15 15 NUM cana-1477 207 4 ] ] X cana-1477 207 5 upton upton PROPN cana-1477 207 6 , , PUNCT cana-1477 207 7 g. g. PROPN cana-1477 207 8 , , PUNCT cana-1477 207 9 & & CCONJ cana-1477 207 10 cook cook PROPN cana-1477 207 11 , , PUNCT cana-1477 207 12 i. i. PROPN cana-1477 207 13 ( ( PUNCT cana-1477 207 14 2014 2014 NUM cana-1477 207 15 ) ) PUNCT cana-1477 207 16 . . PUNCT cana-1477 208 1 a a DET cana-1477 208 2 dictionary dictionary NOUN cana-1477 208 3 of of ADP cana-1477 208 4 statistics statistic NOUN cana-1477 208 5 ( ( PUNCT cana-1477 208 6 3rd 3rd ADJ cana-1477 208 7 ed ed NOUN cana-1477 208 8 . . PUNCT cana-1477 208 9 ) ) PUNCT cana-1477 208 10 . . PUNCT cana-1477 209 1 oxford oxford PROPN cana-1477 209 2 university university PROPN cana-1477 209 3 press press NOUN cana-1477 209 4 . . PUNCT cana-1477 209 5 https://doi.org/10.1093/acref/9780199679188.001.0001 https://doi.org/10.1093/acref/9780199679188.001.0001 X cana-1477 210 1 [ [ X cana-1477 210 2 16 16 NUM cana-1477 210 3 ] ] X cana-1477 210 4 aksoy aksoy PROPN cana-1477 210 5 , , PUNCT cana-1477 210 6 s. s. PROPN cana-1477 210 7 , , PUNCT cana-1477 210 8 & & CCONJ cana-1477 210 9 haralick haralick PROPN cana-1477 210 10 , , PUNCT cana-1477 210 11 r. r. PROPN cana-1477 210 12 m. m. PROPN cana-1477 210 13 ( ( PUNCT cana-1477 210 14 2001 2001 NUM cana-1477 210 15 ) ) PUNCT cana-1477 210 16 . . PUNCT cana-1477 211 1 feature feature NOUN cana-1477 211 2 normalization normalization NOUN cana-1477 211 3 and and CCONJ cana-1477 211 4 likelihood likelihood NOUN cana-1477 211 5 - - PUNCT cana-1477 211 6 based base VERB cana-1477 211 7 similarity similarity NOUN cana-1477 211 8 measures measure NOUN cana-1477 211 9 for for ADP cana-1477 211 10 image image NOUN cana-1477 211 11 retrieval retrieval NOUN cana-1477 211 12 . . PUNCT cana-1477 212 1 pattern pattern NOUN cana-1477 212 2 recognition recognition NOUN cana-1477 212 3 letters letter NOUN cana-1477 212 4 , , PUNCT cana-1477 212 5 22(5 22(5 NOUN cana-1477 212 6 ) ) PUNCT cana-1477 212 7 , , PUNCT cana-1477 212 8 563 563 NUM cana-1477 212 9 - - SYM cana-1477 212 10 582 582 NUM cana-1477 212 11 . . PUNCT cana-1477 213 1 https://doi.org/10.1016/s0167-8655(00)00112-4 https://doi.org/10.1016/s0167-8655(00)00112-4 VERB cana-1477 213 2 [ [ X cana-1477 213 3 17 17 NUM cana-1477 213 4 ] ] PUNCT cana-1477 213 5 benesty benesty NOUN cana-1477 213 6 , , PUNCT cana-1477 213 7 j. j. PROPN cana-1477 213 8 , , PUNCT cana-1477 213 9 chen chen PROPN cana-1477 213 10 , , PUNCT cana-1477 213 11 j. j. PROPN cana-1477 213 12 , , PUNCT cana-1477 213 13 huang huang PROPN cana-1477 213 14 , , PUNCT cana-1477 213 15 y. y. PROPN cana-1477 213 16 , , PUNCT cana-1477 213 17 & & CCONJ cana-1477 213 18 cohen cohen PROPN cana-1477 213 19 , , PUNCT cana-1477 213 20 i. i. PROPN cana-1477 213 21 ( ( PUNCT cana-1477 213 22 2009 2009 NUM cana-1477 213 23 ) ) PUNCT cana-1477 213 24 . . PUNCT cana-1477 214 1 pearson pearson PROPN cana-1477 214 2 correlation correlation NOUN cana-1477 214 3 coefficient coefficient NOUN cana-1477 214 4 . . PUNCT cana-1477 215 1 in in ADP cana-1477 215 2 noise noise NOUN cana-1477 215 3 reduction reduction NOUN cana-1477 215 4 in in ADP cana-1477 215 5 speech speech NOUN cana-1477 215 6 processing processing NOUN cana-1477 215 7 ( ( PUNCT cana-1477 215 8 pp pp ADJ cana-1477 215 9 . . PUNCT cana-1477 216 1 1 1 NUM cana-1477 216 2 - - SYM cana-1477 216 3 4 4 NUM cana-1477 216 4 ) ) PUNCT cana-1477 216 5 . . PUNCT cana-1477 217 1 springer springer NOUN cana-1477 217 2 , , PUNCT cana-1477 217 3 berlin berlin PROPN cana-1477 217 4 , , PUNCT cana-1477 217 5 heidelberg heidelberg PROPN cana-1477 217 6 . . PUNCT cana-1477 218 1 https://doi.org/10.1007/978-3-642-00296-0_5 https://doi.org/10.1007/978-3-642-00296-0_5 PUNCT cana-1477 219 1 [ [ X cana-1477 219 2 18 18 NUM cana-1477 219 3 ] ] PUNCT cana-1477 219 4 guyon guyon NOUN cana-1477 219 5 , , PUNCT cana-1477 219 6 i. i. PROPN cana-1477 219 7 , , PUNCT cana-1477 219 8 & & CCONJ cana-1477 219 9 elisseeff elisseeff PROPN cana-1477 219 10 , , PUNCT cana-1477 219 11 a. a. NOUN cana-1477 219 12 ( ( PUNCT cana-1477 219 13 2003 2003 NUM cana-1477 219 14 ) ) PUNCT cana-1477 219 15 . . PUNCT cana-1477 220 1 an an DET cana-1477 220 2 introduction introduction NOUN cana-1477 220 3 to to ADP cana-1477 220 4 variable variable ADJ cana-1477 220 5 and and CCONJ cana-1477 220 6 feature feature NOUN cana-1477 220 7 selection selection NOUN cana-1477 220 8 . . PUNCT cana-1477 221 1 journal journal PROPN cana-1477 221 2 of of ADP cana-1477 221 3 machine machine NOUN cana-1477 221 4 learning learn VERB cana-1477 221 5 research research NOUN cana-1477 221 6 , , PUNCT cana-1477 221 7 3(mar 3(mar NUM cana-1477 221 8 ) ) PUNCT cana-1477 221 9 , , PUNCT cana-1477 221 10 1157 1157 NUM cana-1477 221 11 - - SYM cana-1477 221 12 1182 1182 NUM cana-1477 221 13 . . PUNCT cana-1477 222 1 https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database PROPN cana-1477 222 2 https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database PROPN cana-1477 222 3 https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database PROPN cana-1477 222 4 https://doi.org/10.1016/j.jclinepi.2006.01.014 https://doi.org/10.1016/j.jclinepi.2006.01.014 PROPN cana-1477 222 5 https://doi.org/10.1016/j.jclinepi.2006.01.014 https://doi.org/10.1016/j.jclinepi.2006.01.014 PROPN cana-1477 222 6 https://doi.org/10.1016/j.jclinepi.2006.01.014 https://doi.org/10.1016/j.jclinepi.2006.01.014 PROPN cana-1477 223 1 https://www.amstat.org/sections/srms/proceedings/y2012/files/304068_72402.pdf https://www.amstat.org/sections/srms/proceedings/y2012/files/304068_72402.pdf PROPN cana-1477 223 2 https://www.amstat.org/sections/srms/proceedings/y2012/files/304068_72402.pdf https://www.amstat.org/sections/srms/proceedings/y2012/files/304068_72402.pdf PROPN cana-1477 223 3 https://www.amstat.org/sections/srms/proceedings/y2012/files/304068_72402.pdf https://www.amstat.org/sections/srms/proceedings/y2012/files/304068_72402.pdf PROPN cana-1477 223 4 https://doi.org/10.1093/acref/9780199679188.001.0001 https://doi.org/10.1093/acref/9780199679188.001.0001 PRON cana-1477 223 5 https://doi.org/10.1093/acref/9780199679188.001.0001 https://doi.org/10.1093/acref/9780199679188.001.0001 NOUN cana-1477 223 6 https://doi.org/10.1093/acref/9780199679188.001.0001 https://doi.org/10.1093/acref/9780199679188.001.0001 X cana-1477 223 7 https://doi.org/10.1016/s0167-8655(00)00112-4 https://doi.org/10.1016/s0167-8655(00)00112-4 PROPN cana-1477 223 8 https://doi.org/10.1016/s0167-8655(00)00112-4 https://doi.org/10.1016/s0167-8655(00)00112-4 PROPN cana-1477 223 9 https://doi.org/10.1007/978-3-642-00296-0_5 https://doi.org/10.1007/978-3-642-00296-0_5 PUNCT cana-1477 223 10 https://doi.org/10.1007/978-3-642-00296-0_5 https://doi.org/10.1007/978-3-642-00296-0_5 VERB cana-1477 223 11 communications communication NOUN cana-1477 223 12 on on ADP cana-1477 223 13 applied apply VERB cana-1477 223 14 nonlinear nonlinear ADJ cana-1477 223 15 analysis analysis NOUN cana-1477 223 16 issn issn NOUN cana-1477 223 17 : : PUNCT cana-1477 223 18 1074 1074 NUM cana-1477 223 19 - - PUNCT cana-1477 223 20 133x 133x NUM cana-1477 223 21 vol vol NOUN cana-1477 223 22 31 31 NUM cana-1477 223 23 no no NOUN cana-1477 223 24 . . PUNCT cana-1477 224 1 8s 8s PROPN cana-1477 224 2 ( ( PUNCT cana-1477 224 3 2024 2024 NUM cana-1477 224 4 ) ) PUNCT cana-1477 224 5 247 247 NUM cana-1477 224 6 https://internationalpubls.com https://internationalpubls.com X cana-1477 225 1 [ [ X cana-1477 225 2 19 19 NUM cana-1477 225 3 ] ] X cana-1477 225 4 schober schober ADJ cana-1477 225 5 , , PUNCT cana-1477 225 6 p. p. NOUN cana-1477 225 7 , , PUNCT cana-1477 225 8 boer boer PROPN cana-1477 225 9 , , PUNCT cana-1477 225 10 c. c. PROPN cana-1477 225 11 , , PUNCT cana-1477 225 12 & & CCONJ cana-1477 225 13 schwarte schwarte PROPN cana-1477 225 14 , , PUNCT cana-1477 225 15 l. l. PROPN cana-1477 225 16 a. a. PROPN cana-1477 225 17 ( ( PUNCT cana-1477 225 18 2018 2018 NUM cana-1477 225 19 ) ) PUNCT cana-1477 225 20 . . PUNCT cana-1477 226 1 correlation correlation NOUN cana-1477 226 2 coefficients coefficient NOUN cana-1477 226 3 : : PUNCT cana-1477 226 4 appropriate appropriate ADJ cana-1477 226 5 use use NOUN cana-1477 226 6 and and CCONJ cana-1477 226 7 interpretation interpretation NOUN cana-1477 226 8 . . PUNCT cana-1477 227 1 anesthesia anesthesia PROPN cana-1477 227 2 & & CCONJ cana-1477 227 3 analgesia analgesia PROPN cana-1477 227 4 , , PUNCT cana-1477 227 5 126(5 126(5 NUM cana-1477 227 6 ) ) PUNCT cana-1477 227 7 , , PUNCT cana-1477 227 8 1763 1763 NUM cana-1477 227 9 - - SYM cana-1477 227 10 1768 1768 NUM cana-1477 227 11 . . PUNCT cana-1477 228 1 https://doi.org/10.1213/ane.0000000000002864 https://doi.org/10.1213/ane.0000000000002864 PROPN cana-1477 229 1 [ [ X cana-1477 229 2 20 20 NUM cana-1477 229 3 ] ] X cana-1477 229 4 ben ben PROPN cana-1477 229 5 - - PUNCT cana-1477 229 6 hur hur PROPN cana-1477 229 7 , , PUNCT cana-1477 229 8 a. a. PROPN cana-1477 229 9 , , PUNCT cana-1477 229 10 ong ong PROPN cana-1477 229 11 , , PUNCT cana-1477 229 12 c. c. PROPN cana-1477 229 13 s. s. PROPN cana-1477 229 14 , , PUNCT cana-1477 229 15 sonnenburg sonnenburg PROPN cana-1477 229 16 , , PUNCT cana-1477 229 17 s. s. PROPN cana-1477 229 18 , , PUNCT cana-1477 229 19 schΓΆlkopf schΓΆlkopf VERB cana-1477 229 20 , , PUNCT cana-1477 229 21 b. b. PROPN cana-1477 229 22 , , PUNCT cana-1477 229 23 & & CCONJ cana-1477 229 24 rΓ€tsch rΓ€tsch PROPN cana-1477 229 25 , , PUNCT cana-1477 229 26 g. g. PROPN cana-1477 229 27 ( ( PUNCT cana-1477 229 28 2008 2008 NUM cana-1477 229 29 ) ) PUNCT cana-1477 229 30 . . PUNCT cana-1477 230 1 support support NOUN cana-1477 230 2 vector vector NOUN cana-1477 230 3 machines machine NOUN cana-1477 230 4 and and CCONJ cana-1477 230 5 kernels kernel NOUN cana-1477 230 6 for for ADP cana-1477 230 7 computational computational ADJ cana-1477 230 8 biology biology NOUN cana-1477 230 9 . . PUNCT cana-1477 231 1 plos plos PROPN cana-1477 231 2 computational computational ADJ cana-1477 231 3 biology biology NOUN cana-1477 231 4 , , PUNCT cana-1477 231 5 4(10 4(10 NUM cana-1477 231 6 ) ) PUNCT cana-1477 231 7 , , PUNCT cana-1477 231 8 e1000173 e1000173 PROPN cana-1477 231 9 . . PROPN cana-1477 231 10 https://doi.org/10.1371/journal.pcbi.1000173 https://doi.org/10.1371/journal.pcbi.1000173 PROPN cana-1477 232 1 [ [ X cana-1477 232 2 21 21 NUM cana-1477 232 3 ] ] PUNCT cana-1477 232 4 cortes corte NOUN cana-1477 232 5 , , PUNCT cana-1477 232 6 c. c. NOUN cana-1477 232 7 , , PUNCT cana-1477 232 8 & & CCONJ cana-1477 232 9 vapnik vapnik X cana-1477 232 10 , , PUNCT cana-1477 232 11 v. v. PROPN cana-1477 232 12 ( ( PUNCT cana-1477 232 13 1995 1995 NUM cana-1477 232 14 ) ) PUNCT cana-1477 232 15 . . PUNCT cana-1477 233 1 support support NOUN cana-1477 233 2 - - PUNCT cana-1477 233 3 vector vector NOUN cana-1477 233 4 networks network NOUN cana-1477 233 5 . . PUNCT cana-1477 234 1 machine machine NOUN cana-1477 234 2 learning learning PROPN cana-1477 234 3 , , PUNCT cana-1477 234 4 20(3 20(3 NOUN cana-1477 234 5 ) ) PUNCT cana-1477 234 6 , , PUNCT cana-1477 234 7 273 273 NUM cana-1477 234 8 - - SYM cana-1477 234 9 297 297 NUM cana-1477 234 10 . . PUNCT cana-1477 235 1 https://doi.org/10.1007/bf00994018 https://doi.org/10.1007/bf00994018 VERB cana-1477 236 1 [ [ X cana-1477 236 2 22 22 NUM cana-1477 236 3 ] ] X cana-1477 236 4 hofmann hofmann PROPN cana-1477 236 5 , , PUNCT cana-1477 236 6 t. t. PROPN cana-1477 236 7 , , PUNCT cana-1477 236 8 schΓΆlkopf schΓΆlkopf NOUN cana-1477 236 9 , , PUNCT cana-1477 236 10 b. b. PROPN cana-1477 236 11 , , PUNCT cana-1477 236 12 & & CCONJ cana-1477 236 13 smola smola PROPN cana-1477 236 14 , , PUNCT cana-1477 236 15 a. a. PROPN cana-1477 236 16 j. j. PROPN cana-1477 236 17 ( ( PUNCT cana-1477 236 18 2008 2008 NUM cana-1477 236 19 ) ) PUNCT cana-1477 236 20 . . PUNCT cana-1477 237 1 kernel kernel PROPN cana-1477 237 2 methods method NOUN cana-1477 237 3 in in ADP cana-1477 237 4 machine machine NOUN cana-1477 237 5 learning learning NOUN cana-1477 237 6 . . PUNCT cana-1477 238 1 the the DET cana-1477 238 2 annals annal NOUN cana-1477 238 3 of of ADP cana-1477 238 4 statistics statistic NOUN cana-1477 238 5 , , PUNCT cana-1477 238 6 36(3 36(3 NOUN cana-1477 238 7 ) ) PUNCT cana-1477 238 8 , , PUNCT cana-1477 238 9 1171 1171 NUM cana-1477 238 10 - - SYM cana-1477 238 11 1220 1220 NUM cana-1477 238 12 . . PUNCT cana-1477 239 1 https://doi.org/10.1214/009053607000000677 https://doi.org/10.1214/009053607000000677 X cana-1477 240 1 [ [ X cana-1477 240 2 23 23 NUM cana-1477 240 3 ] ] X cana-1477 240 4 hsu hsu PROPN cana-1477 240 5 , , PUNCT cana-1477 240 6 c. c. PROPN cana-1477 240 7 w. w. PROPN cana-1477 240 8 , , PUNCT cana-1477 240 9 chang chang PROPN cana-1477 240 10 , , PUNCT cana-1477 240 11 c. c. PROPN cana-1477 240 12 c. c. PROPN cana-1477 240 13 , , PUNCT cana-1477 240 14 & & CCONJ cana-1477 240 15 lin lin PROPN cana-1477 240 16 , , PUNCT cana-1477 240 17 c. c. PROPN cana-1477 240 18 j. j. PROPN cana-1477 240 19 ( ( PUNCT cana-1477 240 20 2003 2003 NUM cana-1477 240 21 ) ) PUNCT cana-1477 240 22 . . PUNCT cana-1477 241 1 a a DET cana-1477 241 2 practical practical ADJ cana-1477 241 3 guide guide NOUN cana-1477 241 4 to to PART cana-1477 241 5 support support VERB cana-1477 241 6 vector vector NOUN cana-1477 241 7 classification classification NOUN cana-1477 241 8 . . PUNCT cana-1477 242 1 technical technical ADJ cana-1477 242 2 report report PROPN cana-1477 242 3 , , PUNCT cana-1477 242 4 department department NOUN cana-1477 242 5 of of ADP cana-1477 242 6 computer computer NOUN cana-1477 242 7 science science NOUN cana-1477 242 8 , , PUNCT cana-1477 242 9 national national PROPN cana-1477 242 10 taiwan taiwan PROPN cana-1477 242 11 university university PROPN cana-1477 242 12 . . PUNCT cana-1477 243 1 [ [ X cana-1477 243 2 24 24 NUM cana-1477 243 3 ] ] X cana-1477 243 4 noble noble ADJ cana-1477 243 5 , , PUNCT cana-1477 243 6 w. w. PROPN cana-1477 243 7 s. s. PROPN cana-1477 243 8 ( ( PUNCT cana-1477 243 9 2006 2006 NUM cana-1477 243 10 ) ) PUNCT cana-1477 243 11 . . PUNCT cana-1477 244 1 what what PRON cana-1477 244 2 is be AUX cana-1477 244 3 a a DET cana-1477 244 4 support support NOUN cana-1477 244 5 vector vector NOUN cana-1477 244 6 machine machine NOUN cana-1477 244 7 ? ? PUNCT cana-1477 245 1 nature nature NOUN cana-1477 245 2 biotechnology biotechnology NOUN cana-1477 245 3 , , PUNCT cana-1477 245 4 24(12 24(12 NUM cana-1477 245 5 ) ) PUNCT cana-1477 245 6 , , PUNCT cana-1477 245 7 1565 1565 NUM cana-1477 245 8 - - SYM cana-1477 245 9 1567 1567 NUM cana-1477 245 10 . . PUNCT cana-1477 246 1 https://doi.org/10.1038/nbt1206-1565 https://doi.org/10.1038/nbt1206-1565 ADV cana-1477 246 2 [ [ X cana-1477 246 3 25 25 NUM cana-1477 246 4 ] ] PUNCT cana-1477 246 5 schΓΆlkopf schΓΆlkopf NOUN cana-1477 246 6 , , PUNCT cana-1477 246 7 b. b. PROPN cana-1477 246 8 , , PUNCT cana-1477 246 9 & & CCONJ cana-1477 246 10 smola smola PROPN cana-1477 246 11 , , PUNCT cana-1477 246 12 a. a. PROPN cana-1477 246 13 j. j. PROPN cana-1477 246 14 ( ( PUNCT cana-1477 246 15 2002 2002 NUM cana-1477 246 16 ) ) PUNCT cana-1477 246 17 . . PUNCT cana-1477 247 1 learning learn VERB cana-1477 247 2 with with ADP cana-1477 247 3 kernels kernel NOUN cana-1477 247 4 : : PUNCT cana-1477 247 5 support support NOUN cana-1477 247 6 vector vector NOUN cana-1477 247 7 machines machine NOUN cana-1477 247 8 , , PUNCT cana-1477 247 9 regularization regularization NOUN cana-1477 247 10 , , PUNCT cana-1477 247 11 optimization optimization NOUN cana-1477 247 12 , , PUNCT cana-1477 247 13 and and CCONJ cana-1477 247 14 beyond beyond ADP cana-1477 247 15 . . PUNCT cana-1477 248 1 mit mit PROPN cana-1477 248 2 press press NOUN cana-1477 248 3 . . PUNCT cana-1477 249 1 [ [ X cana-1477 249 2 26 26 NUM cana-1477 249 3 ] ] X cana-1477 249 4 kumari kumari X cana-1477 249 5 , , PUNCT cana-1477 249 6 v. v. ADP cana-1477 249 7 a. a. PROPN cana-1477 249 8 , , PUNCT cana-1477 249 9 & & CCONJ cana-1477 249 10 chitra chitra PROPN cana-1477 249 11 , , PUNCT cana-1477 249 12 r. r. PROPN cana-1477 249 13 ( ( PUNCT cana-1477 249 14 2013 2013 NUM cana-1477 249 15 ) ) PUNCT cana-1477 249 16 . . PUNCT cana-1477 250 1 classification classification NOUN cana-1477 250 2 of of ADP cana-1477 250 3 diabetes diabetes NOUN cana-1477 250 4 disease disease NOUN cana-1477 250 5 using use VERB cana-1477 250 6 support support NOUN cana-1477 250 7 vector vector NOUN cana-1477 250 8 machine machine NOUN cana-1477 250 9 . . PUNCT cana-1477 251 1 international international ADJ cana-1477 251 2 journal journal PROPN cana-1477 251 3 of of ADP cana-1477 251 4 engineering engineering NOUN cana-1477 251 5 research research NOUN cana-1477 251 6 and and CCONJ cana-1477 251 7 applications application NOUN cana-1477 251 8 , , PUNCT cana-1477 251 9 3(2 3(2 NUM cana-1477 251 10 ) ) PUNCT cana-1477 251 11 , , PUNCT cana-1477 251 12 1797 1797 NUM cana-1477 251 13 - - SYM cana-1477 251 14 1801 1801 NUM cana-1477 251 15 . . PUNCT cana-1477 252 1 [ [ X cana-1477 252 2 27 27 NUM cana-1477 252 3 ] ] X cana-1477 252 4 parashar parashar NOUN cana-1477 252 5 , , PUNCT cana-1477 252 6 a. a. NOUN cana-1477 252 7 , , PUNCT cana-1477 252 8 burse burse NOUN cana-1477 252 9 , , PUNCT cana-1477 252 10 k. k. PROPN cana-1477 252 11 , , PUNCT cana-1477 252 12 & & CCONJ cana-1477 252 13 rawat rawat PROPN cana-1477 252 14 , , PUNCT cana-1477 252 15 k. k. PROPN cana-1477 252 16 ( ( PUNCT cana-1477 252 17 2014 2014 NUM cana-1477 252 18 ) ) PUNCT cana-1477 252 19 . . PUNCT cana-1477 253 1 a a DET cana-1477 253 2 comparative comparative ADJ cana-1477 253 3 approach approach NOUN cana-1477 253 4 for for ADP cana-1477 253 5 pima pima PROPN cana-1477 253 6 indians indians PROPN cana-1477 253 7 diabetes diabete VERB cana-1477 253 8 diagnosis diagnosis NOUN cana-1477 253 9 using use VERB cana-1477 253 10 lda lda NOUN cana-1477 253 11 - - PUNCT cana-1477 253 12 support support NOUN cana-1477 253 13 vector vector NOUN cana-1477 253 14 machine machine NOUN cana-1477 253 15 and and CCONJ cana-1477 253 16 feed feed VERB cana-1477 253 17 forward forward ADV cana-1477 253 18 neural neural ADJ cana-1477 253 19 network network NOUN cana-1477 253 20 . . PUNCT cana-1477 254 1 international international ADJ cana-1477 254 2 journal journal PROPN cana-1477 254 3 of of ADP cana-1477 254 4 advanced advanced ADJ cana-1477 254 5 research research NOUN cana-1477 254 6 in in ADP cana-1477 254 7 computer computer NOUN cana-1477 254 8 science science NOUN cana-1477 254 9 and and CCONJ cana-1477 254 10 software software NOUN cana-1477 254 11 engineering engineering NOUN cana-1477 254 12 , , PUNCT cana-1477 254 13 4(11 4(11 NUM cana-1477 254 14 ) ) PUNCT cana-1477 254 15 , , PUNCT cana-1477 254 16 378 378 NUM cana-1477 254 17 - - SYM cana-1477 254 18 383 383 NUM cana-1477 254 19 . . PUNCT cana-1477 255 1 [ [ X cana-1477 255 2 28 28 NUM cana-1477 255 3 ] ] SYM cana-1477 255 4 kandhasamy kandhasamy PROPN cana-1477 255 5 , , PUNCT cana-1477 255 6 j. j. PROPN cana-1477 255 7 p. p. PROPN cana-1477 255 8 , , PUNCT cana-1477 255 9 & & CCONJ cana-1477 255 10 balamurali balamurali PROPN cana-1477 255 11 , , PUNCT cana-1477 255 12 s. s. PROPN cana-1477 255 13 ( ( PUNCT cana-1477 255 14 2015 2015 NUM cana-1477 255 15 ) ) PUNCT cana-1477 255 16 . . PUNCT cana-1477 256 1 performance performance NOUN cana-1477 256 2 analysis analysis NOUN cana-1477 256 3 of of ADP cana-1477 256 4 classifier classifier NOUN cana-1477 256 5 models model NOUN cana-1477 256 6 to to PART cana-1477 256 7 predict predict VERB cana-1477 256 8 diabetes diabetes NOUN cana-1477 256 9 mellitus mellitus NOUN cana-1477 256 10 . . PUNCT cana-1477 257 1 procedia procedia PROPN cana-1477 257 2 computer computer NOUN cana-1477 257 3 science science NOUN cana-1477 257 4 , , PUNCT cana-1477 257 5 47 47 NUM cana-1477 257 6 , , PUNCT cana-1477 257 7 45 45 NUM cana-1477 257 8 - - SYM cana-1477 257 9 51 51 NUM cana-1477 257 10 . . PUNCT cana-1477 258 1 [ [ X cana-1477 258 2 29 29 NUM cana-1477 258 3 ] ] X cana-1477 258 4 kaul kaul PROPN cana-1477 258 5 , , PUNCT cana-1477 258 6 k. k. PROPN cana-1477 258 7 , , PUNCT cana-1477 258 8 kaur kaur PROPN cana-1477 258 9 , , PUNCT cana-1477 258 10 h. h. PROPN cana-1477 258 11 , , PUNCT cana-1477 258 12 & & CCONJ cana-1477 258 13 bhandari bhandari PROPN cana-1477 258 14 , , PUNCT cana-1477 258 15 a. a. NOUN cana-1477 258 16 ( ( PUNCT cana-1477 258 17 2016 2016 NUM cana-1477 258 18 ) ) PUNCT cana-1477 258 19 . . PUNCT cana-1477 259 1 performance performance NOUN cana-1477 259 2 analysis analysis NOUN cana-1477 259 3 of of ADP cana-1477 259 4 machine machine NOUN cana-1477 259 5 learning learn VERB cana-1477 259 6 techniques technique NOUN cana-1477 259 7 used use VERB cana-1477 259 8 in in ADP cana-1477 259 9 diagnosis diagnosis NOUN cana-1477 259 10 of of ADP cana-1477 259 11 diabetes diabetes NOUN cana-1477 259 12 mellitus mellitus NOUN cana-1477 259 13 . . PUNCT cana-1477 260 1 international international ADJ cana-1477 260 2 journal journal PROPN cana-1477 260 3 of of ADP cana-1477 260 4 engineering engineering NOUN cana-1477 260 5 and and CCONJ cana-1477 260 6 computer computer NOUN cana-1477 260 7 science science NOUN cana-1477 260 8 , , PUNCT cana-1477 260 9 5(11 5(11 NUM cana-1477 260 10 ) ) PUNCT cana-1477 260 11 , , PUNCT cana-1477 260 12 19026 19026 NUM cana-1477 260 13 - - SYM cana-1477 260 14 19029 19029 NUM cana-1477 260 15 . . PUNCT cana-1477 261 1 [ [ X cana-1477 261 2 30 30 NUM cana-1477 261 3 ] ] PUNCT cana-1477 261 4 sisodia sisodia PROPN cana-1477 261 5 , , PUNCT cana-1477 261 6 d. d. PROPN cana-1477 261 7 , , PUNCT cana-1477 261 8 & & CCONJ cana-1477 261 9 sisodia sisodia PROPN cana-1477 261 10 , , PUNCT cana-1477 261 11 d. d. PROPN cana-1477 261 12 s. s. PROPN cana-1477 261 13 ( ( PUNCT cana-1477 261 14 2018 2018 NUM cana-1477 261 15 ) ) PUNCT cana-1477 261 16 . . PUNCT cana-1477 262 1 prediction prediction NOUN cana-1477 262 2 of of ADP cana-1477 262 3 diabetes diabetes NOUN cana-1477 262 4 using use VERB cana-1477 262 5 classification classification NOUN cana-1477 262 6 algorithms algorithm NOUN cana-1477 262 7 . . PUNCT cana-1477 263 1 procedia procedia NOUN cana-1477 263 2 computer computer NOUN cana-1477 263 3 science science NOUN cana-1477 263 4 , , PUNCT cana-1477 263 5 132 132 NUM cana-1477 263 6 , , PUNCT cana-1477 263 7 1578 1578 NUM cana-1477 263 8 - - SYM cana-1477 263 9 1585 1585 NUM cana-1477 263 10 . . PUNCT cana-1477 264 1 [ [ X cana-1477 264 2 31 31 NUM cana-1477 264 3 ] ] PUNCT cana-1477 264 4 choubey choubey NOUN cana-1477 264 5 , , PUNCT cana-1477 264 6 d. d. PROPN cana-1477 264 7 k. k. PROPN cana-1477 264 8 , , PUNCT cana-1477 264 9 paul paul PROPN cana-1477 264 10 , , PUNCT cana-1477 264 11 s. s. PROPN cana-1477 264 12 , , PUNCT cana-1477 264 13 kumar kumar PROPN cana-1477 264 14 , , PUNCT cana-1477 264 15 s. s. PROPN cana-1477 264 16 , , PUNCT cana-1477 264 17 & & CCONJ cana-1477 264 18 kumar kumar PROPN cana-1477 264 19 , , PUNCT cana-1477 264 20 s. s. PROPN cana-1477 264 21 ( ( PUNCT cana-1477 264 22 2020 2020 NUM cana-1477 264 23 ) ) PUNCT cana-1477 264 24 . . PUNCT cana-1477 265 1 classification classification NOUN cana-1477 265 2 of of ADP cana-1477 265 3 pima pima PROPN cana-1477 265 4 indian indian PROPN cana-1477 265 5 diabetes diabetes NOUN cana-1477 265 6 dataset dataset VERB cana-1477 265 7 using use VERB cana-1477 265 8 naive naive ADJ cana-1477 265 9 bayes bayes NOUN cana-1477 265 10 with with ADP cana-1477 265 11 genetic genetic ADJ cana-1477 265 12 algorithm algorithm NOUN cana-1477 265 13 as as ADP cana-1477 265 14 an an DET cana-1477 265 15 attribute attribute NOUN cana-1477 265 16 selection selection NOUN cana-1477 265 17 . . PUNCT cana-1477 266 1 in in ADP cana-1477 266 2 communication communication NOUN cana-1477 266 3 and and CCONJ cana-1477 266 4 intelligent intelligent ADJ cana-1477 266 5 systems system NOUN cana-1477 266 6 ( ( PUNCT cana-1477 266 7 pp pp ADJ cana-1477 266 8 . . PUNCT cana-1477 266 9 767 767 NUM cana-1477 266 10 - - SYM cana-1477 266 11 776 776 NUM cana-1477 266 12 ) ) PUNCT cana-1477 266 13 . . PUNCT cana-1477 267 1 springer springer PROPN cana-1477 267 2 , , PUNCT cana-1477 267 3 singapore singapore PROPN cana-1477 267 4 . . PUNCT cana-1477 268 1 [ [ X cana-1477 268 2 32 32 NUM cana-1477 268 3 ] ] X cana-1477 268 4 mir mir PROPN cana-1477 268 5 , , PUNCT cana-1477 268 6 a. a. PROPN cana-1477 268 7 , , PUNCT cana-1477 268 8 & & CCONJ cana-1477 268 9 dhage dhage PROPN cana-1477 268 10 , , PUNCT cana-1477 268 11 s. s. PROPN cana-1477 268 12 n. n. PROPN cana-1477 268 13 ( ( PUNCT cana-1477 268 14 2018 2018 NUM cana-1477 268 15 ) ) PUNCT cana-1477 268 16 . . PUNCT cana-1477 269 1 diabetes diabetes NOUN cana-1477 269 2 disease disease NOUN cana-1477 269 3 prediction prediction NOUN cana-1477 269 4 using use VERB cana-1477 269 5 machine machine NOUN cana-1477 269 6 learning learn VERB cana-1477 269 7 on on ADP cana-1477 269 8 big big ADJ cana-1477 269 9 data datum NOUN cana-1477 269 10 of of ADP cana-1477 269 11 healthcare healthcare PROPN cana-1477 269 12 . . PUNCT cana-1477 270 1 in in ADP cana-1477 270 2 2018 2018 NUM cana-1477 270 3 fourth fourth ADJ cana-1477 270 4 international international ADJ cana-1477 270 5 conference conference NOUN cana-1477 270 6 on on ADP cana-1477 270 7 computing compute VERB cana-1477 270 8 communication communication NOUN cana-1477 270 9 control control NOUN cana-1477 270 10 and and CCONJ cana-1477 270 11 automation automation NOUN cana-1477 270 12 ( ( PUNCT cana-1477 270 13 iccubea iccubea NOUN cana-1477 270 14 ) ) PUNCT cana-1477 270 15 ( ( PUNCT cana-1477 270 16 pp pp X cana-1477 270 17 . . PUNCT cana-1477 271 1 1 1 NUM cana-1477 271 2 - - SYM cana-1477 271 3 6 6 NUM cana-1477 271 4 ) ) PUNCT cana-1477 271 5 . . PUNCT cana-1477 272 1 ieee ieee PROPN cana-1477 272 2 . . PUNCT cana-1477 273 1 https://doi.org/10.1213/ane.0000000000002864 https://doi.org/10.1213/ane.0000000000002864 PROPN cana-1477 273 2 https://doi.org/10.1213/ane.0000000000002864 https://doi.org/10.1213/ane.0000000000002864 PROPN cana-1477 273 3 https://doi.org/10.1371/journal.pcbi.1000173 https://doi.org/10.1371/journal.pcbi.1000173 PROPN cana-1477 273 4 https://doi.org/10.1371/journal.pcbi.1000173 https://doi.org/10.1371/journal.pcbi.1000173 PROPN cana-1477 273 5 https://doi.org/10.1371/journal.pcbi.1000173 https://doi.org/10.1371/journal.pcbi.1000173 PROPN cana-1477 273 6 https://doi.org/10.1007/bf00994018 https://doi.org/10.1007/bf00994018 PROPN cana-1477 273 7 https://doi.org/10.1007/bf00994018 https://doi.org/10.1007/bf00994018 PROPN cana-1477 273 8 https://doi.org/10.1007/bf00994018 https://doi.org/10.1007/bf00994018 VERB cana-1477 273 9 https://doi.org/10.1214/009053607000000677 https://doi.org/10.1214/009053607000000677 PRON cana-1477 273 10 https://doi.org/10.1038/nbt1206-1565 https://doi.org/10.1038/nbt1206-1565 ADV cana-1477 273 11 https://doi.org/10.1038/nbt1206-1565 https://doi.org/10.1038/nbt1206-1565 ADV