id sid tid token lemma pos cana-2256 1 1 communications communication NOUN cana-2256 1 2 on on ADP cana-2256 1 3 applied apply VERB cana-2256 1 4 nonlinear nonlinear ADJ cana-2256 1 5 analysis analysis NOUN cana-2256 1 6 issn issn NOUN cana-2256 1 7 : : PUNCT cana-2256 1 8 1074 1074 NUM cana-2256 1 9 - - PUNCT cana-2256 1 10 133x 133x NUM cana-2256 1 11 vol vol NOUN cana-2256 1 12 32 32 NUM cana-2256 1 13 no no NOUN cana-2256 1 14 . . PUNCT cana-2256 2 1 2s 2s NUM cana-2256 2 2 ( ( PUNCT cana-2256 2 3 2025 2025 NUM cana-2256 2 4 ) ) PUNCT cana-2256 2 5 113 113 NUM cana-2256 2 6 https://internationalpubls.com https://internationalpubls.com X cana-2256 2 7 high high ADJ cana-2256 2 8 - - PUNCT cana-2256 2 9 order order NOUN cana-2256 2 10 multimodal multimodal NOUN cana-2256 2 11 interaction interaction NOUN cana-2256 2 12 network network NOUN cana-2256 2 13 for for ADP cana-2256 2 14 efficient efficient ADJ cana-2256 2 15 prediction prediction NOUN cana-2256 2 16 of of ADP cana-2256 2 17 drug drug NOUN cana-2256 2 18 - - PUNCT cana-2256 2 19 drug drug NOUN cana-2256 2 20 interaction interaction NOUN cana-2256 2 21 rajeev rajeev PROPN cana-2256 2 22 kumar kumar PROPN cana-2256 2 23 bhaskar1 bhaskar1 PROPN cana-2256 2 24 , , PUNCT cana-2256 2 25 balasubramaniam balasubramaniam PROPN cana-2256 2 26 kumaraswamy2 kumaraswamy2 NOUN cana-2256 2 27 1assistant 1assistant NUM cana-2256 2 28 professor professor NOUN cana-2256 2 29 , , PUNCT cana-2256 2 30 department department NOUN cana-2256 2 31 of of ADP cana-2256 2 32 cs cs PROPN cana-2256 2 33 & & CCONJ cana-2256 2 34 it it PRON cana-2256 2 35 , , PUNCT cana-2256 2 36 kalinga kalinga PROPN cana-2256 2 37 university university PROPN cana-2256 2 38 , , PUNCT cana-2256 2 39 raipur raipur PROPN cana-2256 2 40 , , PUNCT cana-2256 2 41 india india PROPN cana-2256 2 42 . . PUNCT cana-2256 3 1 2research 2research NUM cana-2256 3 2 scholar scholar NOUN cana-2256 3 3 , , PUNCT cana-2256 3 4 department department NOUN cana-2256 3 5 of of ADP cana-2256 3 6 cs cs PROPN cana-2256 3 7 & & CCONJ cana-2256 3 8 it it PRON cana-2256 3 9 , , PUNCT cana-2256 3 10 kalinga kalinga PROPN cana-2256 3 11 university university PROPN cana-2256 3 12 , , PUNCT cana-2256 3 13 raipur raipur PROPN cana-2256 3 14 , , PUNCT cana-2256 3 15 india india PROPN cana-2256 3 16 . . PUNCT cana-2256 4 1 article article PROPN cana-2256 4 2 history history NOUN cana-2256 4 3 : : PUNCT cana-2256 4 4 received receive VERB cana-2256 4 5 : : PUNCT cana-2256 4 6 06 06 NUM cana-2256 4 7 - - SYM cana-2256 4 8 09 09 NUM cana-2256 4 9 - - PUNCT cana-2256 4 10 2024 2024 NUM cana-2256 4 11 revised revise VERB cana-2256 4 12 : : PUNCT cana-2256 4 13 15 15 NUM cana-2256 4 14 - - SYM cana-2256 4 15 10 10 NUM cana-2256 4 16 - - PUNCT cana-2256 4 17 2024 2024 NUM cana-2256 4 18 accepted accept VERB cana-2256 4 19 : : PUNCT cana-2256 4 20 25 25 NUM cana-2256 4 21 - - SYM cana-2256 4 22 10 10 NUM cana-2256 4 23 - - PUNCT cana-2256 4 24 2024 2024 NUM cana-2256 4 25 abstract abstract NOUN cana-2256 4 26 : : PUNCT cana-2256 4 27 the the DET cana-2256 4 28 pharmaceutical pharmaceutical NOUN cana-2256 4 29 industry industry NOUN cana-2256 4 30 places place VERB cana-2256 4 31 a a DET cana-2256 4 32 lot lot NOUN cana-2256 4 33 of of ADP cana-2256 4 34 focus focus NOUN cana-2256 4 35 on on ADP cana-2256 4 36 preventing prevent VERB cana-2256 4 37 drug drug NOUN cana-2256 4 38 - - PUNCT cana-2256 4 39 drug drug NOUN cana-2256 4 40 interactions interaction NOUN cana-2256 4 41 ( ( PUNCT cana-2256 4 42 ddis ddis NOUN cana-2256 4 43 ) ) PUNCT cana-2256 4 44 . . PUNCT cana-2256 5 1 medication medication NOUN cana-2256 5 2 interaction interaction NOUN cana-2256 5 3 detection detection NOUN cana-2256 5 4 has have AUX cana-2256 5 5 been be AUX cana-2256 5 6 the the DET cana-2256 5 7 primary primary ADJ cana-2256 5 8 emphasis emphasis NOUN cana-2256 5 9 of of ADP cana-2256 5 10 machine machine NOUN cana-2256 5 11 learning learning NOUN cana-2256 5 12 - - PUNCT cana-2256 5 13 based base VERB cana-2256 5 14 ddi ddi PROPN cana-2256 5 15 prediction prediction NOUN cana-2256 5 16 methods method NOUN cana-2256 5 17 . . PUNCT cana-2256 6 1 since since SCONJ cana-2256 6 2 studies study NOUN cana-2256 6 3 have have AUX cana-2256 6 4 shown show VERB cana-2256 6 5 that that SCONJ cana-2256 6 6 ddis ddi NOUN cana-2256 6 7 can can AUX cana-2256 6 8 cause cause VERB cana-2256 6 9 different different ADJ cana-2256 6 10 future future ADJ cana-2256 6 11 occurrences occurrence NOUN cana-2256 6 12 , , PUNCT cana-2256 6 13 it it PRON cana-2256 6 14 is be AUX cana-2256 6 15 more more ADV cana-2256 6 16 beneficial beneficial ADJ cana-2256 6 17 to to PART cana-2256 6 18 predict predict VERB cana-2256 6 19 ddi ddi PROPN cana-2256 6 20 connected connect VERB cana-2256 6 21 events event NOUN cana-2256 6 22 while while SCONJ cana-2256 6 23 examining examine VERB cana-2256 6 24 the the DET cana-2256 6 25 mechanism mechanism NOUN cana-2256 6 26 behind behind ADP cana-2256 6 27 combination combination NOUN cana-2256 6 28 medicine medicine NOUN cana-2256 6 29 consumption consumption NOUN cana-2256 6 30 or or CCONJ cana-2256 6 31 adverse adverse ADJ cana-2256 6 32 reactions reaction NOUN cana-2256 6 33 . . PUNCT cana-2256 7 1 the the DET cana-2256 7 2 areas area NOUN cana-2256 7 3 of of ADP cana-2256 7 4 medication medication NOUN cana-2256 7 5 development development NOUN cana-2256 7 6 and and CCONJ cana-2256 7 7 illness illness NOUN cana-2256 7 8 diagnostics diagnostic NOUN cana-2256 7 9 are be AUX cana-2256 7 10 seeing see VERB cana-2256 7 11 increased increase VERB cana-2256 7 12 usage usage NOUN cana-2256 7 13 of of ADP cana-2256 7 14 a a DET cana-2256 7 15 developing develop VERB cana-2256 7 16 approach approach NOUN cana-2256 7 17 that that PRON cana-2256 7 18 predicts predict VERB cana-2256 7 19 ddis ddis NOUN cana-2256 7 20 - - PUNCT cana-2256 7 21 associated associate VERB cana-2256 7 22 occurrences occurrence NOUN cana-2256 7 23 . . PUNCT cana-2256 8 1 we we PRON cana-2256 8 2 examine examine VERB cana-2256 8 3 potential potential ADJ cana-2256 8 4 interactions interaction NOUN cana-2256 8 5 between between ADP cana-2256 8 6 the the DET cana-2256 8 7 two two NUM cana-2256 8 8 medications medication NOUN cana-2256 8 9 as as ADV cana-2256 8 10 well well ADV cana-2256 8 11 as as ADP cana-2256 8 12 the the DET cana-2256 8 13 kinds kind NOUN cana-2256 8 14 of of ADP cana-2256 8 15 interactions interaction NOUN cana-2256 8 16 that that PRON cana-2256 8 17 can can AUX cana-2256 8 18 occur occur VERB cana-2256 8 19 in in ADP cana-2256 8 20 this this DET cana-2256 8 21 research research NOUN cana-2256 8 22 . . PUNCT cana-2256 9 1 additionally additionally ADV cana-2256 9 2 , , PUNCT cana-2256 9 3 we we PRON cana-2256 9 4 provide provide VERB cana-2256 9 5 a a DET cana-2256 9 6 strategy strategy NOUN cana-2256 9 7 that that PRON cana-2256 9 8 relies rely VERB cana-2256 9 9 on on ADP cana-2256 9 10 learning learn VERB cana-2256 9 11 and and CCONJ cana-2256 9 12 use use VERB cana-2256 9 13 highorder highorder NOUN cana-2256 9 14 multimodal multimodal NOUN cana-2256 9 15 interaction interaction NOUN cana-2256 9 16 network network NOUN cana-2256 9 17 ( ( PUNCT cana-2256 9 18 homin homin PROPN cana-2256 9 19 ) ) PUNCT cana-2256 9 20 to to PART cana-2256 9 21 forecast forecast VERB cana-2256 9 22 ddis ddi NOUN cana-2256 9 23 by by ADP cana-2256 9 24 learning learn VERB cana-2256 9 25 feature feature NOUN cana-2256 9 26 representations representation NOUN cana-2256 9 27 . . PUNCT cana-2256 10 1 the the DET cana-2256 10 2 purpose purpose NOUN cana-2256 10 3 of of ADP cana-2256 10 4 this this DET cana-2256 10 5 work work NOUN cana-2256 10 6 is be AUX cana-2256 10 7 to to PART cana-2256 10 8 provide provide VERB cana-2256 10 9 homin homin NOUN cana-2256 10 10 - - PUNCT cana-2256 10 11 ddi ddi PROPN cana-2256 10 12 , , PUNCT cana-2256 10 13 a a DET cana-2256 10 14 new new ADJ cana-2256 10 15 method method NOUN cana-2256 10 16 for for ADP cana-2256 10 17 drug drug NOUN cana-2256 10 18 - - PUNCT cana-2256 10 19 drug drug NOUN cana-2256 10 20 interaction interaction NOUN cana-2256 10 21 predictions prediction NOUN cana-2256 10 22 that that PRON cana-2256 10 23 we we PRON cana-2256 10 24 have have AUX cana-2256 10 25 developed develop VERB cana-2256 10 26 utilizing utilize VERB cana-2256 10 27 a a DET cana-2256 10 28 homin homin ADJ cana-2256 10 29 architecture architecture NOUN cana-2256 10 30 . . PUNCT cana-2256 11 1 first first ADV cana-2256 11 2 , , PUNCT cana-2256 11 3 we we PRON cana-2256 11 4 develop develop VERB cana-2256 11 5 feature feature NOUN cana-2256 11 6 vectors vector NOUN cana-2256 11 7 from from ADP cana-2256 11 8 medication medication NOUN cana-2256 11 9 categories category NOUN cana-2256 11 10 , , PUNCT cana-2256 11 11 targets target NOUN cana-2256 11 12 , , PUNCT cana-2256 11 13 paths path NOUN cana-2256 11 14 , , PUNCT cana-2256 11 15 and and CCONJ cana-2256 11 16 digestive digestive ADJ cana-2256 11 17 enzymes enzyme NOUN cana-2256 11 18 , , PUNCT cana-2256 11 19 and and CCONJ cana-2256 11 20 we we PRON cana-2256 11 21 use use VERB cana-2256 11 22 the the DET cana-2256 11 23 jaccard jaccard ADJ cana-2256 11 24 similarity similarity NOUN cana-2256 11 25 to to PART cana-2256 11 26 evaluate evaluate VERB cana-2256 11 27 how how SCONJ cana-2256 11 28 similar similar ADJ cana-2256 11 29 drugs drug NOUN cana-2256 11 30 appear appear VERB cana-2256 11 31 . . PUNCT cana-2256 12 1 after after ADP cana-2256 12 2 that that PRON cana-2256 12 3 , , PUNCT cana-2256 12 4 we we PRON cana-2256 12 5 build build VERB cana-2256 12 6 a a DET cana-2256 12 7 new new ADJ cana-2256 12 8 homin homin NOUN cana-2256 12 9 using use VERB cana-2256 12 10 the the DET cana-2256 12 11 feature feature NOUN cana-2256 12 12 representation representation NOUN cana-2256 12 13 to to PART cana-2256 12 14 predict predict VERB cana-2256 12 15 ddis ddi NOUN cana-2256 12 16 . . PUNCT cana-2256 13 1 the the DET cana-2256 13 2 results result NOUN cana-2256 13 3 of of ADP cana-2256 13 4 the the DET cana-2256 13 5 experiments experiment NOUN cana-2256 13 6 show show VERB cana-2256 13 7 that that SCONJ cana-2256 13 8 the the DET cana-2256 13 9 drug drug NOUN cana-2256 13 10 categories category NOUN cana-2256 13 11 feature feature NOUN cana-2256 13 12 type type NOUN cana-2256 13 13 , , PUNCT cana-2256 13 14 when when SCONJ cana-2256 13 15 used use VERB cana-2256 13 16 to to ADP cana-2256 13 17 the the DET cana-2256 13 18 homin homin ADJ cana-2256 13 19 -ddi -ddi PUNCT cana-2256 13 20 approach approach NOUN cana-2256 13 21 , , PUNCT cana-2256 13 22 is be AUX cana-2256 13 23 effective effective ADJ cana-2256 13 24 . . PUNCT cana-2256 14 1 furthermore furthermore ADV cana-2256 14 2 , , PUNCT cana-2256 14 3 compared compare VERB cana-2256 14 4 to to ADP cana-2256 14 5 employing employ VERB cana-2256 14 6 only only ADV cana-2256 14 7 one one NUM cana-2256 14 8 feature feature NOUN cana-2256 14 9 , , PUNCT cana-2256 14 10 combining combine VERB cana-2256 14 11 numerous numerous ADJ cana-2256 14 12 features feature NOUN cana-2256 14 13 yields yield VERB cana-2256 14 14 more more ADV cana-2256 14 15 useful useful ADJ cana-2256 14 16 and and CCONJ cana-2256 14 17 informative informative ADJ cana-2256 14 18 results result NOUN cana-2256 14 19 . . PUNCT cana-2256 15 1 compared compare VERB cana-2256 15 2 to to ADP cana-2256 15 3 other other ADJ cana-2256 15 4 algorithms algorithm NOUN cana-2256 15 5 , , PUNCT cana-2256 15 6 homin homin NOUN cana-2256 15 7 - - PUNCT cana-2256 15 8 ddi ddi PROPN cana-2256 15 9 performs perform VERB cana-2256 15 10 better well ADV cana-2256 15 11 when when SCONJ cana-2256 15 12 it it PRON cana-2256 15 13 comes come VERB cana-2256 15 14 to to ADP cana-2256 15 15 predicting predict VERB cana-2256 15 16 ddis ddi NOUN cana-2256 15 17 .. .. PUNCT cana-2256 16 1 keywords keyword NOUN cana-2256 16 2 : : PUNCT cana-2256 16 3 multimodal multimodal NOUN cana-2256 16 4 interaction interaction NOUN cana-2256 16 5 network network NOUN cana-2256 16 6 , , PUNCT cana-2256 16 7 drug drug NOUN cana-2256 16 8 - - PUNCT cana-2256 16 9 drug drug NOUN cana-2256 16 10 interaction interaction NOUN cana-2256 16 11 , , PUNCT cana-2256 16 12 prediction prediction NOUN cana-2256 16 13 . . PUNCT cana-2256 17 1 1 1 X cana-2256 17 2 . . X cana-2256 17 3 introduction introduction NOUN cana-2256 17 4 cancer cancer NOUN cana-2256 17 5 , , PUNCT cana-2256 17 6 hypertension hypertension NOUN cana-2256 17 7 , , PUNCT cana-2256 17 8 asthma asthma NOUN cana-2256 17 9 , , PUNCT cana-2256 17 10 and and CCONJ cana-2256 17 11 aids aid NOUN cana-2256 17 12 are be AUX cana-2256 17 13 just just ADV cana-2256 17 14 a a DET cana-2256 17 15 few few ADJ cana-2256 17 16 of of ADP cana-2256 17 17 the the DET cana-2256 17 18 disorders disorder NOUN cana-2256 17 19 that that PRON cana-2256 17 20 might might AUX cana-2256 17 21 benefit benefit VERB cana-2256 17 22 from from ADP cana-2256 17 23 combination combination NOUN cana-2256 17 24 medication medication NOUN cana-2256 17 25 therapy therapy NOUN cana-2256 17 26 , , PUNCT cana-2256 17 27 which which PRON cana-2256 17 28 aim aim VERB cana-2256 17 29 to to PART cana-2256 17 30 do do VERB cana-2256 17 31 three three NUM cana-2256 17 32 things thing NOUN cana-2256 17 33 at at ADP cana-2256 17 34 once once ADV cana-2256 17 35 : : PUNCT cana-2256 17 36 improve improve VERB cana-2256 17 37 therapeutic therapeutic ADJ cana-2256 17 38 effectiveness effectiveness NOUN cana-2256 17 39 , , PUNCT cana-2256 17 40 minimize minimize VERB cana-2256 17 41 drug drug NOUN cana-2256 17 42 toxicity toxicity NOUN cana-2256 17 43 , , PUNCT cana-2256 17 44 and and CCONJ cana-2256 17 45 reduce reduce VERB cana-2256 17 46 drug drug NOUN cana-2256 17 47 resistance resistance NOUN cana-2256 17 48 [ [ X cana-2256 17 49 1 1 NUM cana-2256 17 50 ] ] PUNCT cana-2256 17 51 . . PUNCT cana-2256 18 1 an an DET cana-2256 18 2 important important ADJ cana-2256 18 3 cause cause NOUN cana-2256 18 4 of of ADP cana-2256 18 5 adverse adverse ADJ cana-2256 18 6 drug drug NOUN cana-2256 18 7 events event NOUN cana-2256 18 8 ( ( PUNCT cana-2256 18 9 ades ade NOUN cana-2256 18 10 ) ) PUNCT cana-2256 18 11 is be AUX cana-2256 18 12 the the DET cana-2256 18 13 possibility possibility NOUN cana-2256 18 14 of of ADP cana-2256 18 15 drug drug NOUN cana-2256 18 16 interactions interaction NOUN cana-2256 18 17 , , PUNCT cana-2256 18 18 which which PRON cana-2256 18 19 can can AUX cana-2256 18 20 occur occur VERB cana-2256 18 21 when when SCONJ cana-2256 18 22 medications medication NOUN cana-2256 18 23 are be AUX cana-2256 18 24 used use VERB cana-2256 18 25 together together ADV cana-2256 18 26 . . PUNCT cana-2256 19 1 an an DET cana-2256 19 2 estimated estimate VERB cana-2256 19 3 30 30 NUM cana-2256 19 4 % % NOUN cana-2256 19 5 of of ADP cana-2256 19 6 all all DET cana-2256 19 7 adverse adverse ADJ cana-2256 19 8 drug drug NOUN cana-2256 19 9 events event NOUN cana-2256 19 10 ( ( PUNCT cana-2256 19 11 ades ade NOUN cana-2256 19 12 ) ) PUNCT cana-2256 19 13 are be AUX cana-2256 19 14 related relate VERB cana-2256 19 15 to to ADP cana-2256 19 16 ddis ddis NOUN cana-2256 19 17 [ [ X cana-2256 19 18 17 17 NUM cana-2256 19 19 ] ] PUNCT cana-2256 19 20 . . PUNCT cana-2256 20 1 also also ADV cana-2256 20 2 , , PUNCT cana-2256 20 3 medications medication NOUN cana-2256 20 4 have have AUX cana-2256 20 5 been be AUX cana-2256 20 6 pulled pull VERB cana-2256 20 7 off off ADP cana-2256 20 8 stores store NOUN cana-2256 20 9 because because SCONJ cana-2256 20 10 of of ADP cana-2256 20 11 adverse adverse ADJ cana-2256 20 12 drug drug NOUN cana-2256 20 13 events event NOUN cana-2256 20 14 caused cause VERB cana-2256 20 15 by by ADP cana-2256 20 16 important important ADJ cana-2256 20 17 ddis ddi NOUN cana-2256 20 18 . . PUNCT cana-2256 21 1 hence hence ADV cana-2256 21 2 , , PUNCT cana-2256 21 3 for for ADP cana-2256 21 4 better well ADJ cana-2256 21 5 and and CCONJ cana-2256 21 6 safer safe ADJ cana-2256 21 7 patient patient NOUN cana-2256 21 8 prescription[2 prescription[2 NOUN cana-2256 21 9 ] ] X cana-2256 21 10 [ [ X cana-2256 21 11 3 3 NUM cana-2256 21 12 ] ] PUNCT cana-2256 21 13 , , PUNCT cana-2256 21 14 accurate accurate ADJ cana-2256 21 15 impact impact NOUN cana-2256 21 16 prediction prediction NOUN cana-2256 21 17 of of ADP cana-2256 21 18 ddis ddis NOUN cana-2256 21 19 is be AUX cana-2256 21 20 crucial crucial ADJ cana-2256 21 21 . . PUNCT cana-2256 22 1 finding find VERB cana-2256 22 2 ddis ddi NOUN cana-2256 22 3 is be AUX cana-2256 22 4 possible possible ADJ cana-2256 22 5 using use VERB cana-2256 22 6 in in ADP cana-2256 22 7 vivo vivo NOUN cana-2256 22 8 models model NOUN cana-2256 22 9 by by ADP cana-2256 22 10 employing employ VERB cana-2256 22 11 high high ADJ cana-2256 22 12 - - PUNCT cana-2256 22 13 throughput throughput NOUN cana-2256 22 14 screening screening NOUN cana-2256 22 15 methods method NOUN cana-2256 22 16 . . PUNCT cana-2256 23 1 unfortunately unfortunately ADV cana-2256 23 2 , , PUNCT cana-2256 23 3 these these DET cana-2256 23 4 procedures procedure NOUN cana-2256 23 5 can can AUX cana-2256 23 6 be be AUX cana-2256 23 7 rather rather ADV cana-2256 23 8 expensive expensive ADJ cana-2256 23 9 , , PUNCT cana-2256 23 10 making make VERB cana-2256 23 11 it it PRON cana-2256 23 12 impractical impractical ADJ cana-2256 23 13 to to PART cana-2256 23 14 evaluate evaluate VERB cana-2256 23 15 several several ADJ cana-2256 23 16 medication medication NOUN cana-2256 23 17 combinations combination NOUN cana-2256 23 18 . . PUNCT cana-2256 24 1 numerous numerous ADJ cana-2256 24 2 computational computational ADJ cana-2256 24 3 techniques technique NOUN cana-2256 24 4 have have AUX cana-2256 24 5 been be AUX cana-2256 24 6 suggested suggest VERB cana-2256 24 7 for for ADP cana-2256 24 8 limiting limit VERB cana-2256 24 9 the the DET cana-2256 24 10 selection selection NOUN cana-2256 24 11 of of ADP cana-2256 24 12 potential potential ADJ cana-2256 24 13 pharmaceutical pharmaceutical NOUN cana-2256 24 14 combinations combination NOUN cana-2256 24 15 [ [ X cana-2256 24 16 25 25 NUM cana-2256 24 17 ] ] PUNCT cana-2256 24 18 . . PUNCT cana-2256 25 1 it it PRON cana-2256 25 2 is be AUX cana-2256 25 3 crucial crucial ADJ cana-2256 25 4 to to PART cana-2256 25 5 control control VERB cana-2256 25 6 drug drug NOUN cana-2256 25 7 security security NOUN cana-2256 25 8 when when SCONJ cana-2256 25 9 a a DET cana-2256 25 10 disease disease NOUN cana-2256 25 11 is be AUX cana-2256 25 12 treated treat VERB cana-2256 25 13 with with ADP cana-2256 25 14 several several ADJ cana-2256 25 15 treatments treatment NOUN cana-2256 25 16 , , PUNCT cana-2256 25 17 especially especially ADV cana-2256 25 18 with with SCONJ cana-2256 25 19 communications communication NOUN cana-2256 25 20 on on ADP cana-2256 25 21 applied apply VERB cana-2256 25 22 nonlinear nonlinear ADJ cana-2256 25 23 analysis analysis NOUN cana-2256 25 24 issn issn NOUN cana-2256 25 25 : : PUNCT cana-2256 25 26 1074 1074 NUM cana-2256 25 27 - - PUNCT cana-2256 25 28 133x 133x NUM cana-2256 25 29 vol vol NOUN cana-2256 25 30 32 32 NUM cana-2256 25 31 no no NOUN cana-2256 25 32 . . PUNCT cana-2256 26 1 2s 2s NUM cana-2256 26 2 ( ( PUNCT cana-2256 26 3 2025 2025 NUM cana-2256 26 4 ) ) PUNCT cana-2256 26 5 114 114 NUM cana-2256 26 6 https://internationalpubls.com https://internationalpubls.com X cana-2256 26 7 the the DET cana-2256 26 8 number number NOUN cana-2256 26 9 of of ADP cana-2256 26 10 drug drug NOUN cana-2256 26 11 types type NOUN cana-2256 26 12 growing grow VERB cana-2256 26 13 at at ADP cana-2256 26 14 a a DET cana-2256 26 15 rapid rapid ADJ cana-2256 26 16 rate[4 rate[4 NOUN cana-2256 26 17 ] ] X cana-2256 26 18 [ [ X cana-2256 26 19 5 5 NUM cana-2256 26 20 ] ] PUNCT cana-2256 26 21 . . PUNCT cana-2256 27 1 adverse adverse ADJ cana-2256 27 2 drug drug NOUN cana-2256 27 3 responses response NOUN cana-2256 27 4 , , PUNCT cana-2256 27 5 which which PRON cana-2256 27 6 can can AUX cana-2256 27 7 lead lead VERB cana-2256 27 8 to to ADP cana-2256 27 9 injuries injury NOUN cana-2256 27 10 and and CCONJ cana-2256 27 11 enormous enormous ADJ cana-2256 27 12 medical medical ADJ cana-2256 27 13 expenses expense NOUN cana-2256 27 14 , , PUNCT cana-2256 27 15 are be AUX cana-2256 27 16 common common ADJ cana-2256 27 17 when when SCONJ cana-2256 27 18 several several ADJ cana-2256 27 19 drugs drug NOUN cana-2256 27 20 are be AUX cana-2256 27 21 administered administer VERB cana-2256 27 22 at at ADP cana-2256 27 23 the the DET cana-2256 27 24 same same ADJ cana-2256 27 25 time time NOUN cana-2256 27 26 , , PUNCT cana-2256 27 27 and and CCONJ cana-2256 27 28 this this PRON cana-2256 27 29 is be AUX cana-2256 27 30 known know VERB cana-2256 27 31 as as ADP cana-2256 27 32 a a DET cana-2256 27 33 drug drug NOUN cana-2256 27 34 - - PUNCT cana-2256 27 35 drug drug NOUN cana-2256 27 36 interaction interaction NOUN cana-2256 27 37 ( ( PUNCT cana-2256 27 38 ddi ddi PROPN cana-2256 27 39 ) ) PUNCT cana-2256 27 40 . . PUNCT cana-2256 28 1 on on ADP cana-2256 28 2 the the DET cana-2256 28 3 other other ADJ cana-2256 28 4 hand hand NOUN cana-2256 28 5 , , PUNCT cana-2256 28 6 ddi ddi PROPN cana-2256 28 7 may may AUX cana-2256 28 8 cause cause VERB cana-2256 28 9 a a DET cana-2256 28 10 variety variety NOUN cana-2256 28 11 of of ADP cana-2256 28 12 physiological physiological ADJ cana-2256 28 13 responses response NOUN cana-2256 28 14 [ [ X cana-2256 28 15 19 19 NUM cana-2256 28 16 ] ] PUNCT cana-2256 28 17 . . PUNCT cana-2256 29 1 for for ADP cana-2256 29 2 instance instance NOUN cana-2256 29 3 , , PUNCT cana-2256 29 4 the the DET cana-2256 29 5 intensity intensity NOUN cana-2256 29 6 of of ADP cana-2256 29 7 the the DET cana-2256 29 8 side side NOUN cana-2256 29 9 effects effect NOUN cana-2256 29 10 is be AUX cana-2256 29 11 increased increase VERB cana-2256 29 12 when when SCONJ cana-2256 29 13 the the DET cana-2256 29 14 drugs drug NOUN cana-2256 29 15 itraconazole itraconazole NOUN cana-2256 29 16 and and CCONJ cana-2256 29 17 abemaciclib abemaciclib PROPN cana-2256 29 18 combine combine VERB cana-2256 29 19 with with ADP cana-2256 29 20 each each DET cana-2256 29 21 other other ADJ cana-2256 29 22 . . PUNCT cana-2256 30 1 consequently consequently ADV cana-2256 30 2 , , PUNCT cana-2256 30 3 it it PRON cana-2256 30 4 is be AUX cana-2256 30 5 crucial crucial ADJ cana-2256 30 6 for for SCONJ cana-2256 30 7 doctors doctor NOUN cana-2256 30 8 to to PART cana-2256 30 9 be be AUX cana-2256 30 10 able able ADJ cana-2256 30 11 to to PART cana-2256 30 12 accurately accurately ADV cana-2256 30 13 forecast forecast VERB cana-2256 30 14 ddi ddi PROPN cana-2256 30 15 episodes episode NOUN cana-2256 30 16 so so SCONJ cana-2256 30 17 that that SCONJ cana-2256 30 18 they they PRON cana-2256 30 19 may may AUX cana-2256 30 20 make make VERB cana-2256 30 21 informed informed ADJ cana-2256 30 22 decisions decision NOUN cana-2256 30 23 and and CCONJ cana-2256 30 24 set set VERB cana-2256 30 25 up up ADP cana-2256 30 26 successful successful ADJ cana-2256 30 27 treatment treatment NOUN cana-2256 30 28 programs program NOUN cana-2256 30 29 [ [ X cana-2256 30 30 7 7 X cana-2256 30 31 ] ] X cana-2256 30 32 [ [ X cana-2256 30 33 12 12 NUM cana-2256 30 34 ] ] PUNCT cana-2256 30 35 . . PUNCT cana-2256 31 1 the the DET cana-2256 31 2 medical medical ADJ cana-2256 31 3 risks risk NOUN cana-2256 31 4 and and CCONJ cana-2256 31 5 synergistic synergistic ADJ cana-2256 31 6 advantages advantage NOUN cana-2256 31 7 of of ADP cana-2256 31 8 medications medication NOUN cana-2256 31 9 can can AUX cana-2256 31 10 be be AUX cana-2256 31 11 maximized maximize VERB cana-2256 31 12 with with ADP cana-2256 31 13 proper proper ADJ cana-2256 31 14 administration administration NOUN cana-2256 31 15 of of ADP cana-2256 31 16 numerous numerous ADJ cana-2256 31 17 drugs drug NOUN cana-2256 31 18 . . PUNCT cana-2256 32 1 there there PRON cana-2256 32 2 are be VERB cana-2256 32 3 a a DET cana-2256 32 4 lot lot NOUN cana-2256 32 5 of of ADP cana-2256 32 6 ai ai NOUN cana-2256 32 7 - - PUNCT cana-2256 32 8 based base VERB cana-2256 32 9 models model NOUN cana-2256 32 10 that that PRON cana-2256 32 11 have have AUX cana-2256 32 12 been be AUX cana-2256 32 13 suggested suggest VERB cana-2256 32 14 for for ADP cana-2256 32 15 ddi ddi PROPN cana-2256 32 16 event event NOUN cana-2256 32 17 prediction prediction NOUN cana-2256 32 18 [ [ X cana-2256 32 19 20 20 NUM cana-2256 32 20 ] ] PUNCT cana-2256 32 21 . . PUNCT cana-2256 33 1 some some PRON cana-2256 33 2 of of ADP cana-2256 33 3 these these DET cana-2256 33 4 models model NOUN cana-2256 33 5 use use VERB cana-2256 33 6 graph graph NOUN cana-2256 33 7 neural neural ADJ cana-2256 33 8 networks network NOUN cana-2256 33 9 to to PART cana-2256 33 10 analyze analyze VERB cana-2256 33 11 chemical chemical ADJ cana-2256 33 12 structure structure NOUN cana-2256 33 13 similarity similarity NOUN cana-2256 33 14 , , PUNCT cana-2256 33 15 semi semi ADJ cana-2256 33 16 - - ADJ cana-2256 33 17 supervised supervised ADJ cana-2256 33 18 learning learning NOUN cana-2256 33 19 to to PART cana-2256 33 20 extract extract VERB cana-2256 33 21 useful useful ADJ cana-2256 33 22 information information NOUN cana-2256 33 23 from from ADP cana-2256 33 24 labeled label VERB cana-2256 33 25 and and CCONJ cana-2256 33 26 unlabeled unlabeled ADJ cana-2256 33 27 drug drug NOUN cana-2256 33 28 data datum NOUN cana-2256 33 29 for for ADP cana-2256 33 30 ddi ddi PROPN cana-2256 33 31 prediction prediction NOUN cana-2256 33 32 , , PUNCT cana-2256 33 33 and and CCONJ cana-2256 33 34 knowledge knowledge NOUN cana-2256 33 35 graph graph NOUN cana-2256 33 36 summarization[6 summarization[6 PROPN cana-2256 33 37 ] ] X cana-2256 34 1 [ [ X cana-2256 34 2 9 9 NUM cana-2256 34 3 ] ] PUNCT cana-2256 34 4 for for ADP cana-2256 34 5 multi multi ADJ cana-2256 34 6 - - ADJ cana-2256 34 7 typed type VERB cana-2256 34 8 ddi ddi ADJ cana-2256 34 9 pharmacological pharmacological ADJ cana-2256 34 10 effect effect NOUN cana-2256 34 11 prediction prediction NOUN cana-2256 34 12 . . PUNCT cana-2256 35 1 additionally additionally ADV cana-2256 35 2 , , PUNCT cana-2256 35 3 there there PRON cana-2256 35 4 have have AUX cana-2256 35 5 been be AUX cana-2256 35 6 attempts attempt NOUN cana-2256 35 7 to to PART cana-2256 35 8 forecast forecast VERB cana-2256 35 9 ddi ddi ADJ cana-2256 35 10 incidents incident NOUN cana-2256 35 11 by by ADP cana-2256 35 12 combining combine VERB cana-2256 35 13 data datum NOUN cana-2256 35 14 from from ADP cana-2256 35 15 many many ADJ cana-2256 35 16 sources source NOUN cana-2256 35 17 , , PUNCT cana-2256 35 18 such such ADJ cana-2256 35 19 as as ADP cana-2256 35 20 similarity similarity NOUN cana-2256 35 21 characteristics characteristic NOUN cana-2256 35 22 to to PART cana-2256 35 23 extract extract VERB cana-2256 35 24 pharmacological pharmacological ADJ cana-2256 35 25 properties property NOUN cana-2256 35 26 for for ADP cana-2256 35 27 this this DET cana-2256 35 28 purpose[8 purpose[8 NOUN cana-2256 35 29 ] ] PUNCT cana-2256 36 1 [ [ X cana-2256 36 2 21 21 NUM cana-2256 36 3 ] ] PUNCT cana-2256 36 4 . . PUNCT cana-2256 37 1 nevertheless nevertheless ADV cana-2256 37 2 , , PUNCT cana-2256 37 3 the the DET cana-2256 37 4 majority majority NOUN cana-2256 37 5 of of ADP cana-2256 37 6 current current ADJ cana-2256 37 7 approaches approach NOUN cana-2256 37 8 disregard disregard VERB cana-2256 37 9 the the DET cana-2256 37 10 possibility possibility NOUN cana-2256 37 11 of of ADP cana-2256 37 12 connections connection NOUN cana-2256 37 13 between between ADP cana-2256 37 14 ddi ddi PROPN cana-2256 37 15 occurrences occurrence NOUN cana-2256 37 16 and and CCONJ cana-2256 37 17 other other ADJ cana-2256 37 18 types type NOUN cana-2256 37 19 of of ADP cana-2256 37 20 multimodal multimodal NOUN cana-2256 37 21 data datum NOUN cana-2256 37 22 , , PUNCT cana-2256 37 23 including include VERB cana-2256 37 24 targets target NOUN cana-2256 37 25 and and CCONJ cana-2256 37 26 enzymes enzyme NOUN cana-2256 37 27 [ [ X cana-2256 37 28 14 14 NUM cana-2256 37 29 ] ] PUNCT cana-2256 37 30 . . PUNCT cana-2256 38 1 additionally additionally ADV cana-2256 38 2 , , PUNCT cana-2256 38 3 multimodal multimodal ADJ cana-2256 38 4 data datum NOUN cana-2256 38 5 's 's PART cana-2256 38 6 cross cross ADJ cana-2256 38 7 - - ADJ cana-2256 38 8 modal modal ADJ cana-2256 38 9 compatibility compatibility NOUN cana-2256 38 10 has have AUX cana-2256 38 11 been be AUX cana-2256 38 12 overlooked overlook VERB cana-2256 38 13 [ [ PUNCT cana-2256 38 14 11 11 NUM cana-2256 38 15 ] ] X cana-2256 39 1 [ [ X cana-2256 39 2 18 18 NUM cana-2256 39 3 ] ] PUNCT cana-2256 39 4 . . PUNCT cana-2256 40 1 the the DET cana-2256 40 2 primary primary ADJ cana-2256 40 3 objectives objective NOUN cana-2256 40 4 of of ADP cana-2256 40 5 this this DET cana-2256 40 6 study study NOUN cana-2256 40 7 are be AUX cana-2256 40 8 to to PART cana-2256 40 9 address address VERB cana-2256 40 10 these these DET cana-2256 40 11 limitations limitation NOUN cana-2256 40 12 and and CCONJ cana-2256 40 13 to to PART cana-2256 40 14 effectively effectively ADV cana-2256 40 15 assist assist VERB cana-2256 40 16 in in ADP cana-2256 40 17 the the DET cana-2256 40 18 joint joint ADJ cana-2256 40 19 representation representation NOUN cana-2256 40 20 learning learning NOUN cana-2256 40 21 of of ADP cana-2256 40 22 multimodal multimodal NOUN cana-2256 40 23 data datum NOUN cana-2256 40 24 related relate VERB cana-2256 40 25 to to ADP cana-2256 40 26 ddi ddi VERB cana-2256 40 27 events event NOUN cana-2256 40 28 . . PUNCT cana-2256 41 1 predicting predict VERB cana-2256 41 2 ddi ddi PROPN cana-2256 41 3 occurrences occurrence NOUN cana-2256 41 4 is be AUX cana-2256 41 5 the the DET cana-2256 41 6 objective objective NOUN cana-2256 41 7 with with ADP cana-2256 41 8 the the DET cana-2256 41 9 use use NOUN cana-2256 41 10 of of ADP cana-2256 41 11 a a DET cana-2256 41 12 high high ADJ cana-2256 41 13 - - PUNCT cana-2256 41 14 order order NOUN cana-2256 41 15 multimodal multimodal NOUN cana-2256 41 16 interaction interaction NOUN cana-2256 41 17 network network NOUN cana-2256 41 18 ( ( PUNCT cana-2256 41 19 homin homin PROPN cana-2256 41 20 ) ) PUNCT cana-2256 41 21 . . PUNCT cana-2256 42 1 at at ADP cana-2256 42 2 last last ADJ cana-2256 42 3 , , PUNCT cana-2256 42 4 a a DET cana-2256 42 5 homin homin NOUN cana-2256 42 6 is be AUX cana-2256 42 7 developed develop VERB cana-2256 42 8 for for ADP cana-2256 42 9 predicting predict VERB cana-2256 42 10 ddi ddi ADJ cana-2256 42 11 occurrences occurrence NOUN cana-2256 42 12 by by ADP cana-2256 42 13 investigating investigate VERB cana-2256 42 14 the the DET cana-2256 42 15 complimentary complimentary ADJ cana-2256 42 16 aspects aspect NOUN cana-2256 42 17 of of ADP cana-2256 42 18 the the DET cana-2256 42 19 drug drug NOUN cana-2256 42 20 's 's PART cana-2256 42 21 multimodal multimodal NOUN cana-2256 42 22 representations representation NOUN cana-2256 42 23 . . PUNCT cana-2256 43 1 2 2 X cana-2256 43 2 . . X cana-2256 43 3 related relate VERB cana-2256 43 4 works work VERB cana-2256 43 5 an an DET cana-2256 43 6 innovative innovative ADJ cana-2256 43 7 approach approach NOUN cana-2256 43 8 for for ADP cana-2256 43 9 predicting predict VERB cana-2256 43 10 drug drug NOUN cana-2256 43 11 - - PUNCT cana-2256 43 12 drug drug NOUN cana-2256 43 13 interactions interaction NOUN cana-2256 43 14 ( ( PUNCT cana-2256 43 15 ddis ddi NOUN cana-2256 43 16 ) ) PUNCT cana-2256 43 17 based base VERB cana-2256 43 18 on on ADP cana-2256 43 19 convolutional convolutional ADJ cana-2256 43 20 neural neural ADJ cana-2256 43 21 networks network NOUN cana-2256 43 22 ( ( PUNCT cana-2256 43 23 cnn cnn PROPN cana-2256 43 24 ) ) PUNCT cana-2256 43 25 was be AUX cana-2256 43 26 suggested suggest VERB cana-2256 43 27 by by ADP cana-2256 43 28 the the DET cana-2256 43 29 author author NOUN cana-2256 43 30 , , PUNCT cana-2256 43 31 who who PRON cana-2256 43 32 focused focus VERB cana-2256 43 33 down down ADP cana-2256 43 34 on on ADP cana-2256 43 35 65 65 NUM cana-2256 43 36 distinct distinct ADJ cana-2256 43 37 types type NOUN cana-2256 43 38 of of ADP cana-2256 43 39 ddis ddi NOUN cana-2256 43 40 [ [ X cana-2256 43 41 10 10 NUM cana-2256 43 42 ] ] PUNCT cana-2256 43 43 . . PUNCT cana-2256 44 1 to to PART cana-2256 44 2 begin begin VERB cana-2256 44 3 , , PUNCT cana-2256 44 4 the the DET cana-2256 44 5 input input NOUN cana-2256 44 6 of of ADP cana-2256 44 7 cnn cnn PROPN cana-2256 44 8 - - PUNCT cana-2256 44 9 ddi ddi PROPN cana-2256 45 1 [ [ X cana-2256 45 2 22 22 NUM cana-2256 45 3 ] ] PUNCT cana-2256 45 4 was be AUX cana-2256 45 5 built build VERB cana-2256 45 6 using use VERB cana-2256 45 7 the the DET cana-2256 45 8 extracted extract VERB cana-2256 45 9 drug drug NOUN cana-2256 45 10 attributes attribute NOUN cana-2256 45 11 of of ADP cana-2256 45 12 categories category NOUN cana-2256 45 13 , , PUNCT cana-2256 45 14 targets target NOUN cana-2256 45 15 , , PUNCT cana-2256 45 16 pathways pathway NOUN cana-2256 45 17 , , PUNCT cana-2256 45 18 and and CCONJ cana-2256 45 19 enzymes enzyme NOUN cana-2256 45 20 . . PUNCT cana-2256 46 1 next next ADV cana-2256 46 2 , , PUNCT cana-2256 46 3 they they PRON cana-2256 46 4 provided provide VERB cana-2256 46 5 these these DET cana-2256 46 6 attributes attribute NOUN cana-2256 46 7 into into ADP cana-2256 46 8 our our PRON cana-2256 46 9 cnn cnn PROPN cana-2256 46 10 network network NOUN cana-2256 46 11 as as ADP cana-2256 46 12 input input NOUN cana-2256 46 13 vectors vector NOUN cana-2256 46 14 , , PUNCT cana-2256 46 15 and and CCONJ cana-2256 46 16 the the DET cana-2256 46 17 network network NOUN cana-2256 46 18 's 's PART cana-2256 46 19 output output NOUN cana-2256 46 20 was be AUX cana-2256 46 21 a a DET cana-2256 46 22 categorization categorization NOUN cana-2256 46 23 prediction prediction NOUN cana-2256 46 24 for for ADP cana-2256 46 25 occurrences occurrence NOUN cana-2256 46 26 involving involve VERB cana-2256 46 27 drugdrug drugdrug NOUN cana-2256 46 28 interactions interaction NOUN cana-2256 46 29 . . PUNCT cana-2256 47 1 regularized regularize VERB cana-2256 47 2 linear linear ADJ cana-2256 47 3 classification classification NOUN cana-2256 47 4 models model NOUN cana-2256 47 5 based base VERB cana-2256 47 6 on on ADP cana-2256 47 7 lasso lasso NOUN cana-2256 47 8 and and CCONJ cana-2256 47 9 a a DET cana-2256 47 10 lasso lasso NOUN cana-2256 47 11 - - PUNCT cana-2256 47 12 dnn dnn PROPN cana-2256 47 13 model model NOUN cana-2256 47 14 that that PRON cana-2256 47 15 employs employ VERB cana-2256 47 16 lasso lasso ADJ cana-2256 47 17 feature feature NOUN cana-2256 47 18 selection selection NOUN cana-2256 47 19 were be AUX cana-2256 47 20 proposed propose VERB cana-2256 47 21 by by ADP cana-2256 47 22 the the DET cana-2256 47 23 author author NOUN cana-2256 47 24 as as ADP cana-2256 47 25 a a DET cana-2256 47 26 means means NOUN cana-2256 47 27 to to PART cana-2256 47 28 predict predict VERB cana-2256 47 29 dtis dtis NOUN cana-2256 47 30 [ [ X cana-2256 47 31 13 13 NUM cana-2256 47 32 ] ] PUNCT cana-2256 47 33 . . PUNCT cana-2256 48 1 repurposing repurpose VERB cana-2256 48 2 medications medication NOUN cana-2256 48 3 for for ADP cana-2256 48 4 the the DET cana-2256 48 5 treatment treatment NOUN cana-2256 48 6 of of ADP cana-2256 48 7 breast breast NOUN cana-2256 48 8 cancer cancer NOUN cana-2256 48 9 is be AUX cana-2256 48 10 proven prove VERB cana-2256 48 11 using use VERB cana-2256 48 12 these these DET cana-2256 48 13 strategies strategy NOUN cana-2256 48 14 . . PUNCT cana-2256 49 1 they they PRON cana-2256 49 2 explored explore VERB cana-2256 49 3 the the DET cana-2256 49 4 prediction prediction NOUN cana-2256 49 5 power power NOUN cana-2256 49 6 and and CCONJ cana-2256 49 7 predicted predict VERB cana-2256 49 8 dtis dtis NOUN cana-2256 49 9 using use VERB cana-2256 49 10 numerous numerous ADJ cana-2256 49 11 lasso lasso NOUN cana-2256 49 12 models model NOUN cana-2256 49 13 that that PRON cana-2256 49 14 included include VERB cana-2256 49 15 different different ADJ cana-2256 49 16 combinations combination NOUN cana-2256 49 17 of of ADP cana-2256 49 18 feature feature NOUN cana-2256 49 19 sets set NOUN cana-2256 49 20 . . PUNCT cana-2256 50 1 in in ADP cana-2256 50 2 addition addition NOUN cana-2256 50 3 , , PUNCT cana-2256 50 4 they they PRON cana-2256 50 5 implemented implement VERB cana-2256 50 6 a a DET cana-2256 50 7 lasso lasso NOUN cana-2256 50 8 - - PUNCT cana-2256 50 9 dnn dnn PROPN cana-2256 50 10 model model NOUN cana-2256 50 11 for for ADP cana-2256 50 12 dti dti PROPN cana-2256 50 13 prediction prediction NOUN cana-2256 50 14 , , PUNCT cana-2256 50 15 which which PRON cana-2256 50 16 is be AUX cana-2256 50 17 based base VERB cana-2256 50 18 on on ADP cana-2256 50 19 the the DET cana-2256 50 20 features feature NOUN cana-2256 50 21 retrieved retrieve VERB cana-2256 50 22 from from ADP cana-2256 50 23 the the DET cana-2256 50 24 top top ADV cana-2256 50 25 - - PUNCT cana-2256 50 26 performing perform VERB cana-2256 50 27 lasso lasso NOUN cana-2256 50 28 models model NOUN cana-2256 50 29 . . PUNCT cana-2256 51 1 a a DET cana-2256 51 2 long long ADJ cana-2256 51 3 short short ADJ cana-2256 51 4 - - PUNCT cana-2256 51 5 term term NOUN cana-2256 51 6 memory memory NOUN cana-2256 51 7 ( ( PUNCT cana-2256 51 8 lstm lstm NOUN cana-2256 51 9 ) ) PUNCT cana-2256 51 10 model model NOUN cana-2256 51 11 for for ADP cana-2256 51 12 ddi ddi PROPN cana-2256 51 13 prediction prediction NOUN cana-2256 51 14 , , PUNCT cana-2256 51 15 the the DET cana-2256 51 16 author author NOUN cana-2256 51 17 proposed propose VERB cana-2256 51 18 a a DET cana-2256 51 19 graph graph NOUN cana-2256 51 20 convolutional convolutional ADJ cana-2256 51 21 autoencoder autoencoder NOUN cana-2256 51 22 network network NOUN cana-2256 51 23 ( ( PUNCT cana-2256 51 24 gcan gcan PROPN cana-2256 51 25 ) ) PUNCT cana-2256 51 26 . . PUNCT cana-2256 52 1 the the DET cana-2256 52 2 suggested suggest VERB cana-2256 52 3 framework framework NOUN cana-2256 52 4 outperformed outperform VERB cana-2256 52 5 other other ADJ cana-2256 52 6 machine machine NOUN cana-2256 52 7 learning learn VERB cana-2256 52 8 algorithms algorithm NOUN cana-2256 52 9 when when SCONJ cana-2256 52 10 it it PRON cana-2256 52 11 came come VERB cana-2256 52 12 to to ADP cana-2256 52 13 ddi ddi VERB cana-2256 52 14 prediction prediction NOUN cana-2256 52 15 [ [ X cana-2256 52 16 23 23 NUM cana-2256 52 17 ] ] PUNCT cana-2256 52 18 . . PUNCT cana-2256 53 1 the the DET cana-2256 53 2 most most ADV cana-2256 53 3 recent recent ADJ cana-2256 53 4 edition edition NOUN cana-2256 53 5 of of ADP cana-2256 53 6 the the DET cana-2256 53 7 drugbank drugbank NOUN cana-2256 53 8 database database NOUN cana-2256 53 9 ( ( PUNCT cana-2256 53 10 5.1.7 5.1.7 NUM cana-2256 53 11 ) ) PUNCT cana-2256 53 12 confirmed confirm VERB cana-2256 53 13 several several ADJ cana-2256 53 14 of of ADP cana-2256 53 15 our our PRON cana-2256 53 16 expected expect VERB cana-2256 53 17 ddis ddi NOUN cana-2256 53 18 . . PUNCT cana-2256 54 1 they they PRON cana-2256 54 2 demonstrated demonstrate VERB cana-2256 54 3 in in ADP cana-2256 54 4 the the DET cana-2256 54 5 case case NOUN cana-2256 54 6 study study NOUN cana-2256 54 7 that that SCONJ cana-2256 54 8 communications communication NOUN cana-2256 54 9 on on ADP cana-2256 54 10 applied apply VERB cana-2256 54 11 nonlinear nonlinear ADJ cana-2256 54 12 analysis analysis NOUN cana-2256 54 13 issn issn NOUN cana-2256 54 14 : : PUNCT cana-2256 54 15 1074 1074 NUM cana-2256 54 16 - - PUNCT cana-2256 54 17 133x 133x NUM cana-2256 54 18 vol vol NOUN cana-2256 54 19 32 32 NUM cana-2256 54 20 no no NOUN cana-2256 54 21 . . PUNCT cana-2256 55 1 2s 2s NUM cana-2256 55 2 ( ( PUNCT cana-2256 55 3 2025 2025 NUM cana-2256 55 4 ) ) PUNCT cana-2256 55 5 115 115 NUM cana-2256 55 6 https://internationalpubls.com https://internationalpubls.com X cana-2256 55 7 both both CCONJ cana-2256 55 8 sulfonylurea sulfonylurea NOUN cana-2256 55 9 - - PUNCT cana-2256 55 10 and and CCONJ cana-2256 55 11 metformin metformin NOUN cana-2256 55 12 - - PUNCT cana-2256 55 13 interacting interact VERB cana-2256 55 14 medications medication NOUN cana-2256 55 15 produced produce VERB cana-2256 55 16 hypoglycemia hypoglycemia NOUN cana-2256 55 17 and and CCONJ cana-2256 55 18 lactic lactic ADJ cana-2256 55 19 acidosis acidosis NOUN cana-2256 55 20 , , PUNCT cana-2256 55 21 respectively respectively ADV cana-2256 55 22 , , PUNCT cana-2256 55 23 and and CCONJ cana-2256 55 24 that that SCONJ cana-2256 55 25 these these DET cana-2256 55 26 interactions interaction NOUN cana-2256 55 27 induced induce VERB cana-2256 55 28 changes change NOUN cana-2256 55 29 on on ADP cana-2256 55 30 the the DET cana-2256 55 31 proteins protein NOUN cana-2256 55 32 implicated implicate VERB cana-2256 55 33 in in ADP cana-2256 55 34 the the DET cana-2256 55 35 metabolic metabolic NOUN cana-2256 55 36 process process NOUN cana-2256 55 37 in in ADP cana-2256 55 38 vivo vivo NOUN cana-2256 55 39 . . PUNCT cana-2256 56 1 in in ADP cana-2256 56 2 [ [ X cana-2256 56 3 15 15 NUM cana-2256 56 4 ] ] PUNCT cana-2256 56 5 , , PUNCT cana-2256 56 6 author author NOUN cana-2256 56 7 presented present VERB cana-2256 56 8 a a DET cana-2256 56 9 deep deep ADJ cana-2256 56 10 neural neural ADJ cana-2256 56 11 network network NOUN cana-2256 56 12 ensemble ensemble ADJ cana-2256 56 13 that that PRON cana-2256 56 14 could could AUX cana-2256 56 15 improve improve VERB cana-2256 56 16 ddis ddis NOUN cana-2256 56 17 ' ' PART cana-2256 56 18 prediction prediction NOUN cana-2256 56 19 capabilities capability NOUN cana-2256 56 20 . . PUNCT cana-2256 57 1 consequently consequently ADV cana-2256 57 2 , , PUNCT cana-2256 57 3 the the DET cana-2256 57 4 model model NOUN cana-2256 57 5 they they PRON cana-2256 57 6 created create VERB cana-2256 57 7 achieved achieve VERB cana-2256 57 8 an an DET cana-2256 57 9 average average ADJ cana-2256 57 10 accuracy accuracy NOUN cana-2256 57 11 of of ADP cana-2256 57 12 93.80 93.80 NUM cana-2256 57 13 % % NOUN cana-2256 57 14 when when SCONJ cana-2256 57 15 applied apply VERB cana-2256 57 16 to to ADP cana-2256 57 17 a a DET cana-2256 57 18 benchmark benchmark ADJ cana-2256 57 19 dataset dataset NOUN cana-2256 57 20 , , PUNCT cana-2256 57 21 accurately accurately ADV cana-2256 57 22 predicting predict VERB cana-2256 57 23 86 86 NUM cana-2256 57 24 different different ADJ cana-2256 57 25 kinds kind NOUN cana-2256 57 26 of of ADP cana-2256 57 27 ddis ddi NOUN cana-2256 57 28 . . PUNCT cana-2256 58 1 when when SCONJ cana-2256 58 2 tested test VERB cana-2256 58 3 on on ADP cana-2256 58 4 the the DET cana-2256 58 5 same same ADJ cana-2256 58 6 dataset dataset NOUN cana-2256 58 7 as as ADP cana-2256 58 8 previously previously ADV cana-2256 58 9 suggested suggest VERB cana-2256 58 10 approaches approach NOUN cana-2256 58 11 , , PUNCT cana-2256 58 12 our our PRON cana-2256 58 13 ensemble ensemble ADJ cana-2256 58 14 classifier classifier NOUN cana-2256 58 15 outperforms outperform VERB cana-2256 58 16 them they PRON cana-2256 58 17 [ [ X cana-2256 58 18 16 16 NUM cana-2256 58 19 ] ] PUNCT cana-2256 58 20 . . PUNCT cana-2256 59 1 when when SCONJ cana-2256 59 2 it it PRON cana-2256 59 3 comes come VERB cana-2256 59 4 to to ADP cana-2256 59 5 pharmacovigilance pharmacovigilance NOUN cana-2256 59 6 - - PUNCT cana-2256 59 7 assisted assist VERB cana-2256 59 8 technologies technology NOUN cana-2256 59 9 that that PRON cana-2256 59 10 help help AUX cana-2256 59 11 find find VERB cana-2256 59 12 ddis ddi NOUN cana-2256 59 13 to to PART cana-2256 59 14 back back VERB cana-2256 59 15 up up ADP cana-2256 59 16 medical medical ADJ cana-2256 59 17 judgments judgment NOUN cana-2256 59 18 and and CCONJ cana-2256 59 19 medication medication NOUN cana-2256 59 20 development development NOUN cana-2256 59 21 , , PUNCT cana-2256 59 22 this this DET cana-2256 59 23 technique technique NOUN cana-2256 59 24 is be AUX cana-2256 59 25 among among ADP cana-2256 59 26 the the DET cana-2256 59 27 most most ADV cana-2256 59 28 innovative innovative ADJ cana-2256 59 29 . . PUNCT cana-2256 60 1 the the DET cana-2256 60 2 author author NOUN cana-2256 60 3 proposed propose VERB cana-2256 60 4 a a DET cana-2256 60 5 method method NOUN cana-2256 60 6 of of ADP cana-2256 60 7 drug drug NOUN cana-2256 60 8 - - PUNCT cana-2256 60 9 drug drug NOUN cana-2256 60 10 interaction interaction NOUN cana-2256 60 11 prediction prediction NOUN cana-2256 60 12 using use VERB cana-2256 60 13 a a DET cana-2256 60 14 deep deep ADJ cana-2256 60 15 attention attention NOUN cana-2256 60 16 neural neural ADJ cana-2256 60 17 network network NOUN cana-2256 60 18 ( ( PUNCT cana-2256 60 19 dann dann PROPN cana-2256 60 20 - - PUNCT cana-2256 60 21 ddi ddi NOUN cana-2256 60 22 ) ) PUNCT cana-2256 60 23 to to PART cana-2256 60 24 anticipate anticipate VERB cana-2256 60 25 unobserved unobserved ADJ cana-2256 60 26 drug drug NOUN cana-2256 60 27 - - PUNCT cana-2256 60 28 drug drug NOUN cana-2256 60 29 interactions interaction NOUN cana-2256 60 30 . . PUNCT cana-2256 61 1 to to PART cana-2256 61 2 start start VERB cana-2256 61 3 , , PUNCT cana-2256 61 4 we we PRON cana-2256 61 5 build build VERB cana-2256 61 6 a a DET cana-2256 61 7 number number NOUN cana-2256 61 8 of of ADP cana-2256 61 9 drug drug NOUN cana-2256 61 10 feature feature NOUN cana-2256 61 11 networks network NOUN cana-2256 61 12 . . PUNCT cana-2256 62 1 these these DET cana-2256 62 2 networks network NOUN cana-2256 62 3 are be AUX cana-2256 62 4 subsequently subsequently ADV cana-2256 62 5 utilized utilize VERB cana-2256 62 6 to to PART cana-2256 62 7 learn learn VERB cana-2256 62 8 drug drug NOUN cana-2256 62 9 representations representation NOUN cana-2256 62 10 using use VERB cana-2256 62 11 the the DET cana-2256 62 12 graph graph NOUN cana-2256 62 13 embedding embed VERB cana-2256 62 14 approach approach NOUN cana-2256 62 15 [ [ X cana-2256 62 16 24 24 NUM cana-2256 62 17 ] ] PUNCT cana-2256 62 18 . . PUNCT cana-2256 63 1 next next ADV cana-2256 63 2 , , PUNCT cana-2256 63 3 an an DET cana-2256 63 4 attention attention NOUN cana-2256 63 5 neural neural ADJ cana-2256 63 6 network network NOUN cana-2256 63 7 is be AUX cana-2256 63 8 constructed construct VERB cana-2256 63 9 using use VERB cana-2256 63 10 the the DET cana-2256 63 11 acquired acquire VERB cana-2256 63 12 drug drug NOUN cana-2256 63 13 representations representation NOUN cana-2256 63 14 ; ; PUNCT cana-2256 63 15 this this DET cana-2256 63 16 network network NOUN cana-2256 63 17 is be AUX cana-2256 63 18 then then ADV cana-2256 63 19 used use VERB cana-2256 63 20 to to PART cana-2256 63 21 learn learn VERB cana-2256 63 22 drug drug NOUN cana-2256 63 23 - - PUNCT cana-2256 63 24 drug drug NOUN cana-2256 63 25 pair pair NOUN cana-2256 63 26 representations representation NOUN cana-2256 63 27 . . PUNCT cana-2256 64 1 finally finally ADV cana-2256 64 2 , , PUNCT cana-2256 64 3 drug drug NOUN cana-2256 64 4 - - PUNCT cana-2256 64 5 drug drug NOUN cana-2256 64 6 interactions interaction NOUN cana-2256 64 7 may may AUX cana-2256 64 8 be be AUX cana-2256 64 9 reliably reliably ADV cana-2256 64 10 predicted predict VERB cana-2256 64 11 with with ADP cana-2256 64 12 the the DET cana-2256 64 13 help help NOUN cana-2256 64 14 of of ADP cana-2256 64 15 a a DET cana-2256 64 16 deep deep ADJ cana-2256 64 17 neural neural ADJ cana-2256 64 18 network network NOUN cana-2256 64 19 . . PUNCT cana-2256 65 1 3 3 X cana-2256 65 2 . . NUM cana-2256 65 3 proposed propose VERB cana-2256 65 4 methodology methodology NOUN cana-2256 65 5 this this DET cana-2256 65 6 research research NOUN cana-2256 65 7 presents present VERB cana-2256 65 8 the the DET cana-2256 65 9 homin homin ADJ cana-2256 65 10 high high ADJ cana-2256 65 11 - - PUNCT cana-2256 65 12 order order NOUN cana-2256 65 13 multimodal multimodal NOUN cana-2256 65 14 interaction interaction NOUN cana-2256 65 15 network network NOUN cana-2256 65 16 , , PUNCT cana-2256 65 17 which which PRON cana-2256 65 18 integrates integrate VERB cana-2256 65 19 many many ADJ cana-2256 65 20 pharmacological pharmacological ADJ cana-2256 65 21 characteristics characteristic NOUN cana-2256 65 22 for for ADP cana-2256 65 23 the the DET cana-2256 65 24 purpose purpose NOUN cana-2256 65 25 of of ADP cana-2256 65 26 ddi ddi PROPN cana-2256 65 27 event event NOUN cana-2256 65 28 prediction prediction NOUN cana-2256 65 29 . . PUNCT cana-2256 66 1 the the DET cana-2256 66 2 homin homin PROPN cana-2256 66 3 method method NOUN cana-2256 66 4 's 's PART cana-2256 66 5 flow flow NOUN cana-2256 66 6 example example NOUN cana-2256 66 7 is be AUX cana-2256 66 8 shown show VERB cana-2256 66 9 in in ADP cana-2256 66 10 figure figure NOUN cana-2256 66 11 1 1 NUM cana-2256 66 12 . . PUNCT cana-2256 67 1 the the DET cana-2256 67 2 first first ADJ cana-2256 67 3 step step NOUN cana-2256 67 4 is be AUX cana-2256 67 5 to to PART cana-2256 67 6 represent represent VERB cana-2256 67 7 medicines medicine NOUN cana-2256 67 8 using use VERB cana-2256 67 9 four four NUM cana-2256 67 10 categories category NOUN cana-2256 67 11 of of ADP cana-2256 67 12 drug drug NOUN cana-2256 67 13 attributes attribute NOUN cana-2256 67 14 that that PRON cana-2256 67 15 are be AUX cana-2256 67 16 used use VERB cana-2256 67 17 for for ADP cana-2256 67 18 calculating calculate VERB cana-2256 67 19 drug drug NOUN cana-2256 67 20 - - PUNCT cana-2256 67 21 drug drug NOUN cana-2256 67 22 similarities similarity NOUN cana-2256 67 23 . . PUNCT cana-2256 68 1 the the DET cana-2256 68 2 multiple multiple ADJ cana-2256 68 3 - - PUNCT cana-2256 68 4 layer layer NOUN cana-2256 68 5 neural neural ADJ cana-2256 68 6 network network NOUN cana-2256 68 7 sub sub NOUN cana-2256 68 8 - - NOUN cana-2256 68 9 models model NOUN cana-2256 68 10 are be AUX cana-2256 68 11 given give VERB cana-2256 68 12 drug drug NOUN cana-2256 68 13 representations representation NOUN cana-2256 68 14 one one NUM cana-2256 68 15 by by ADP cana-2256 68 16 one one NUM cana-2256 68 17 . . PUNCT cana-2256 69 1 last last ADJ cana-2256 69 2 but but CCONJ cana-2256 69 3 not not PART cana-2256 69 4 least least ADJ cana-2256 69 5 , , PUNCT cana-2256 69 6 we we PRON cana-2256 69 7 use use VERB cana-2256 69 8 the the DET cana-2256 69 9 combined combine VERB cana-2256 69 10 sub sub NOUN cana-2256 69 11 - - NOUN cana-2256 69 12 models model NOUN cana-2256 69 13 to to PART cana-2256 69 14 learn learn VERB cana-2256 69 15 drug drug NOUN cana-2256 69 16 - - PUNCT cana-2256 69 17 drug drug NOUN cana-2256 69 18 pairings pairing NOUN cana-2256 69 19 ' ' PART cana-2256 69 20 cross cross ADJ cana-2256 69 21 - - ADJ cana-2256 69 22 modality modality NOUN cana-2256 69 23 representations representation NOUN cana-2256 69 24 , , PUNCT cana-2256 69 25 which which PRON cana-2256 69 26 we we PRON cana-2256 69 27 then then ADV cana-2256 69 28 use use VERB cana-2256 69 29 to to PART cana-2256 69 30 forecast forecast VERB cana-2256 69 31 ddi ddi PROPN cana-2256 69 32 occurrences occurrence NOUN cana-2256 69 33 . . PUNCT cana-2256 70 1 here here ADV cana-2256 70 2 we we PRON cana-2256 70 3 provide provide VERB cana-2256 70 4 the the DET cana-2256 70 5 main main ADJ cana-2256 70 6 components component NOUN cana-2256 70 7 of of ADP cana-2256 70 8 homin homin PROPN cana-2256 70 9 . . PUNCT cana-2256 71 1 figure figure NOUN cana-2256 71 2 1 1 NUM cana-2256 71 3 : : PUNCT cana-2256 72 1 ddi ddi VERB cana-2256 72 2 events event NOUN cana-2256 72 3 3.1 3.1 NUM cana-2256 72 4 . . PUNCT cana-2256 73 1 feature feature NOUN cana-2256 73 2 extraction extraction NOUN cana-2256 73 3 the the DET cana-2256 73 4 high high ADJ cana-2256 73 5 - - PUNCT cana-2256 73 6 order order NOUN cana-2256 73 7 multimodal multimodal NOUN cana-2256 73 8 interaction interaction NOUN cana-2256 73 9 network network NOUN cana-2256 73 10 integrates integrate VERB cana-2256 73 11 many many ADJ cana-2256 73 12 pharmacological pharmacological ADJ cana-2256 73 13 characteristics characteristic NOUN cana-2256 73 14 as as ADP cana-2256 73 15 methods method NOUN cana-2256 73 16 to to PART cana-2256 73 17 provide provide VERB cana-2256 73 18 predictions.when predictions.when ADP cana-2256 73 19 building build VERB cana-2256 73 20 a a DET cana-2256 73 21 model model NOUN cana-2256 73 22 , , PUNCT cana-2256 73 23 feature feature NOUN cana-2256 73 24 extraction extraction NOUN cana-2256 73 25 and and CCONJ cana-2256 73 26 representations representation NOUN cana-2256 73 27 play play VERB cana-2256 73 28 a a DET cana-2256 73 29 key key ADJ cana-2256 73 30 role role NOUN cana-2256 73 31 . . PUNCT cana-2256 74 1 drugs drug NOUN cana-2256 74 2 are be AUX cana-2256 74 3 characterized characterize VERB cana-2256 74 4 by by ADP cana-2256 74 5 four four NUM cana-2256 74 6 aspects aspect NOUN cana-2256 74 7 that that PRON cana-2256 74 8 provide provide VERB cana-2256 74 9 varied varied ADJ cana-2256 74 10 information information NOUN cana-2256 74 11 : : PUNCT cana-2256 74 12 chemical chemical NOUN cana-2256 74 13 substructures substructure NOUN cana-2256 74 14 , , PUNCT cana-2256 74 15 targets target NOUN cana-2256 74 16 , , PUNCT cana-2256 74 17 enzymes enzyme NOUN cana-2256 74 18 , , PUNCT cana-2256 74 19 and and CCONJ cana-2256 74 20 routes route NOUN cana-2256 74 21 . . PUNCT cana-2256 75 1 a a DET cana-2256 75 2 binary binary ADJ cana-2256 75 3 feature feature NOUN cana-2256 75 4 vector vector NOUN cana-2256 75 5 can can AUX cana-2256 75 6 be be AUX cana-2256 75 7 used use VERB cana-2256 75 8 to to PART cana-2256 75 9 characterize characterize VERB cana-2256 75 10 a a DET cana-2256 75 11 communications communication NOUN cana-2256 75 12 on on ADP cana-2256 75 13 applied apply VERB cana-2256 75 14 nonlinear nonlinear ADJ cana-2256 75 15 analysis analysis NOUN cana-2256 75 16 issn issn NOUN cana-2256 75 17 : : PUNCT cana-2256 75 18 1074 1074 NUM cana-2256 75 19 - - PUNCT cana-2256 75 20 133x 133x NUM cana-2256 75 21 vol vol NOUN cana-2256 75 22 32 32 NUM cana-2256 75 23 no no NOUN cana-2256 75 24 . . PUNCT cana-2256 76 1 2s 2s NUM cana-2256 76 2 ( ( PUNCT cana-2256 76 3 2025 2025 NUM cana-2256 76 4 ) ) PUNCT cana-2256 76 5 116 116 NUM cana-2256 76 6 https://internationalpubls.com https://internationalpubls.com X cana-2256 76 7 drug drug NOUN cana-2256 76 8 ; ; PUNCT cana-2256 76 9 features feature NOUN cana-2256 76 10 can can AUX cana-2256 76 11 have have VERB cana-2256 76 12 values value NOUN cana-2256 76 13 of of ADP cana-2256 76 14 1 1 NUM cana-2256 76 15 or or CCONJ cana-2256 76 16 0 0 NUM cana-2256 76 17 , , PUNCT cana-2256 76 18 indicating indicate VERB cana-2256 76 19 if if SCONJ cana-2256 76 20 the the DET cana-2256 76 21 correct correct ADJ cana-2256 76 22 set set NOUN cana-2256 76 23 of of ADP cana-2256 76 24 descriptors descriptor NOUN cana-2256 76 25 is be AUX cana-2256 76 26 present present ADJ cana-2256 76 27 or or CCONJ cana-2256 76 28 not not PART cana-2256 76 29 . . PUNCT cana-2256 77 1 we we PRON cana-2256 77 2 can can AUX cana-2256 77 3 illustrate illustrate VERB cana-2256 77 4 this this DET cana-2256 77 5 point point NOUN cana-2256 77 6 with with ADP cana-2256 77 7 the the DET cana-2256 77 8 help help NOUN cana-2256 77 9 of of ADP cana-2256 77 10 the the DET cana-2256 77 11 chemical chemical NOUN cana-2256 77 12 substructures substructure NOUN cana-2256 77 13 . . PUNCT cana-2256 78 1 there there PRON cana-2256 78 2 are be VERB cana-2256 78 3 881 881 NUM cana-2256 78 4 unique unique ADJ cana-2256 78 5 substructures substructure NOUN cana-2256 78 6 , , PUNCT cana-2256 78 7 or or CCONJ cana-2256 78 8 molecular molecular ADJ cana-2256 78 9 fingerprints fingerprint NOUN cana-2256 78 10 , , PUNCT cana-2256 78 11 recorded record VERB cana-2256 78 12 in in ADP cana-2256 78 13 the the DET cana-2256 78 14 pubchem pubchem NOUN cana-2256 78 15 database database NOUN cana-2256 78 16 . . PUNCT cana-2256 79 1 with with ADP cana-2256 79 2 four four NUM cana-2256 79 3 separate separate ADJ cana-2256 79 4 vectors vector NOUN cana-2256 79 5 depending depend VERB cana-2256 79 6 on on ADP cana-2256 79 7 four four NUM cana-2256 79 8 different different ADJ cana-2256 79 9 features feature NOUN cana-2256 79 10 , , PUNCT cana-2256 79 11 a a DET cana-2256 79 12 drug drug NOUN cana-2256 79 13 can can AUX cana-2256 79 14 be be AUX cana-2256 79 15 defined define VERB cana-2256 79 16 in in ADP cana-2256 79 17 this this DET cana-2256 79 18 way.we way.we PROPN cana-2256 79 19 achieve achieve VERB cana-2256 79 20 feature feature NOUN cana-2256 79 21 compression compression NOUN cana-2256 79 22 and and CCONJ cana-2256 79 23 sparsity sparsity NOUN cana-2256 79 24 reduction reduction NOUN cana-2256 79 25 by by ADP cana-2256 79 26 taking take VERB cana-2256 79 27 use use NOUN cana-2256 79 28 of of ADP cana-2256 79 29 the the DET cana-2256 79 30 fact fact NOUN cana-2256 79 31 that that SCONJ cana-2256 79 32 a a DET cana-2256 79 33 great great ADJ cana-2256 79 34 deal deal NOUN cana-2256 79 35 of of ADP cana-2256 79 36 the the DET cana-2256 79 37 dimensions dimension NOUN cana-2256 79 38 in in ADP cana-2256 79 39 these these DET cana-2256 79 40 features feature NOUN cana-2256 79 41 vectors vector NOUN cana-2256 79 42 are be AUX cana-2256 79 43 zero.here zero.here NUM cana-2256 79 44 , , PUNCT cana-2256 79 45 we we PRON cana-2256 79 46 use use VERB cana-2256 79 47 the the DET cana-2256 79 48 jaccard jaccard ADJ cana-2256 79 49 similarity similarity NOUN cana-2256 79 50 metric metric ADJ cana-2256 79 51 to to PART cana-2256 79 52 determine determine VERB cana-2256 79 53 the the DET cana-2256 79 54 pairwise pairwise NOUN cana-2256 79 55 drug drug NOUN cana-2256 79 56 - - PUNCT cana-2256 79 57 drug drug NOUN cana-2256 79 58 similarity similarity NOUN cana-2256 79 59 using use VERB cana-2256 79 60 bit bit NOUN cana-2256 79 61 vectors vector NOUN cana-2256 79 62 rather rather ADV cana-2256 79 63 than than ADP cana-2256 79 64 the the DET cana-2256 79 65 bit bit NOUN cana-2256 79 66 vectors vector NOUN cana-2256 79 67 themselves themselves PRON cana-2256 79 68 . . PUNCT cana-2256 80 1 one one PRON cana-2256 80 2 can can AUX cana-2256 80 3 identify identify VERB cana-2256 80 4 the the DET cana-2256 80 5 jaccard jaccard ADJ cana-2256 80 6 similarity similarity NOUN cana-2256 80 7 using use VERB cana-2256 80 8 equation equation NOUN cana-2256 80 9 ( ( PUNCT cana-2256 80 10 1 1 NUM cana-2256 80 11 ) ) PUNCT cana-2256 80 12 . . PUNCT cana-2256 81 1 𝐽(𝑋 𝐽(𝑋 PROPN cana-2256 81 2 , , PUNCT cana-2256 81 3 π‘Œ π‘Œ PROPN cana-2256 81 4 ) ) PUNCT cana-2256 81 5 = = SYM cana-2256 81 6 |π‘‹βˆ©π‘Œ| |π‘‹βˆ©π‘Œ| X cana-2256 81 7 |𝑋βˆͺπ‘Œ| |𝑋βˆͺπ‘Œ| NUM cana-2256 81 8 = = X cana-2256 81 9 |π‘‹βˆ©π‘Œ| |π‘‹βˆ©π‘Œ| X cana-2256 81 10 |𝑋|+|π‘Œ|βˆ’|π‘‹βˆ©π‘Œ| |𝑋|+|π‘Œ|βˆ’|π‘‹βˆ©π‘Œ| X cana-2256 81 11 ( ( PUNCT cana-2256 81 12 1 1 X cana-2256 81 13 ) ) PUNCT cana-2256 81 14 the the PRON cana-2256 81 15 sets set VERB cana-2256 81 16 𝑋 𝑋 PROPN cana-2256 81 17 and and CCONJ cana-2256 81 18 π‘Œ π‘Œ PROPN cana-2256 81 19 represent represent VERB cana-2256 81 20 the the DET cana-2256 81 21 bit bit NOUN cana-2256 81 22 vectors vector NOUN cana-2256 81 23 of of ADP cana-2256 81 24 two two NUM cana-2256 81 25 medications medication NOUN cana-2256 81 26 , , PUNCT cana-2256 81 27 and and CCONJ cana-2256 81 28 the the DET cana-2256 81 29 intersection intersection NOUN cana-2256 81 30 of of ADP cana-2256 81 31 the the DET cana-2256 81 32 sets set NOUN cana-2256 81 33 is be AUX cana-2256 81 34 denoted denote VERB cana-2256 81 35 as as ADP cana-2256 81 36 |𝑋 |𝑋 PROPN cana-2256 81 37 ∩ ∩ ADJ cana-2256 81 38 π‘Œ| π‘Œ| PROPN cana-2256 81 39 . . PUNCT cana-2256 82 1 the the DET cana-2256 82 2 union union NOUN cana-2256 82 3 of of ADP cana-2256 82 4 the the DET cana-2256 82 5 sets set NOUN cana-2256 82 6 is be AUX cana-2256 82 7 |𝑋 |𝑋 PROPN cana-2256 82 8 βˆͺ βˆͺ ADP cana-2256 82 9 π‘Œ| π‘Œ| PROPN cana-2256 82 10 . . PUNCT cana-2256 83 1 the the DET cana-2256 83 2 last last ADJ cana-2256 83 3 step step NOUN cana-2256 83 4 is be AUX cana-2256 83 5 to to PART cana-2256 83 6 use use VERB cana-2256 83 7 a a DET cana-2256 83 8 drug drug NOUN cana-2256 83 9 - - PUNCT cana-2256 83 10 drug drug NOUN cana-2256 83 11 similarity similarity NOUN cana-2256 83 12 matrix matrix NOUN cana-2256 83 13 to to PART cana-2256 83 14 display display VERB cana-2256 83 15 all all DET cana-2256 83 16 medications medication NOUN cana-2256 83 17 as as ADP cana-2256 83 18 572 572 NUM cana-2256 83 19 - - PUNCT cana-2256 83 20 dimensional dimensional ADJ cana-2256 83 21 row row NOUN cana-2256 83 22 vectors vector NOUN cana-2256 83 23 that that PRON cana-2256 83 24 match match VERB cana-2256 83 25 . . PUNCT cana-2256 84 1 in in ADP cana-2256 84 2 medicine medicine NOUN cana-2256 84 3 , , PUNCT cana-2256 84 4 vcs vcs PROPN cana-2256 84 5 stands stand VERB cana-2256 84 6 for for ADP cana-2256 84 7 a a DET cana-2256 84 8 number number NOUN cana-2256 84 9 of of ADP cana-2256 84 10 different different ADJ cana-2256 84 11 i i PRON cana-2256 84 12 feature feature VERB cana-2256 84 13 vectors vector NOUN cana-2256 84 14 . . PUNCT cana-2256 85 1 as as ADP cana-2256 85 2 a a DET cana-2256 85 3 consequence consequence NOUN cana-2256 85 4 of of ADP cana-2256 85 5 combining combine VERB cana-2256 85 6 the the DET cana-2256 85 7 feature feature NOUN cana-2256 85 8 vectors vector NOUN cana-2256 85 9 of of ADP cana-2256 85 10 the the DET cana-2256 85 11 two two NUM cana-2256 85 12 medications medication NOUN cana-2256 85 13 , , PUNCT cana-2256 85 14 each each PRON cana-2256 85 15 of of ADP cana-2256 85 16 the the DET cana-2256 85 17 four four NUM cana-2256 85 18 models model NOUN cana-2256 85 19 represents represent VERB cana-2256 85 20 a a DET cana-2256 85 21 drug drug NOUN cana-2256 85 22 pair pair NOUN cana-2256 85 23 . . PUNCT cana-2256 86 1 figure figure NOUN cana-2256 86 2 2 2 NUM cana-2256 86 3 shows show VERB cana-2256 86 4 how how SCONJ cana-2256 86 5 the the DET cana-2256 86 6 feature feature NOUN cana-2256 86 7 extraction extraction NOUN cana-2256 86 8 module module NOUN cana-2256 86 9 creates create VERB cana-2256 86 10 several several ADJ cana-2256 86 11 feature feature NOUN cana-2256 86 12 vectors vector NOUN cana-2256 86 13 that that PRON cana-2256 86 14 sub sub NOUN cana-2256 86 15 models model NOUN cana-2256 86 16 can can AUX cana-2256 86 17 utilize utilize VERB cana-2256 86 18 as as ADP cana-2256 86 19 inputs input NOUN cana-2256 86 20 . . PUNCT cana-2256 87 1 figure figure NOUN cana-2256 87 2 2 2 NUM cana-2256 87 3 : : PUNCT cana-2256 87 4 high high ADJ cana-2256 87 5 - - PUNCT cana-2256 87 6 order order NOUN cana-2256 87 7 multimodal multimodal NOUN cana-2256 87 8 interaction interaction NOUN cana-2256 87 9 network network NOUN cana-2256 87 10 3.2 3.2 NUM cana-2256 87 11 . . PUNCT cana-2256 88 1 construction construction NOUN cana-2256 88 2 of of ADP cana-2256 88 3 high high ADJ cana-2256 88 4 - - PUNCT cana-2256 88 5 order order NOUN cana-2256 88 6 multimodal multimodal NOUN cana-2256 88 7 interaction interaction NOUN cana-2256 88 8 network network NOUN cana-2256 88 9 since since SCONJ cana-2256 88 10 there there PRON cana-2256 88 11 are be VERB cana-2256 88 12 several several ADJ cana-2256 88 13 features feature NOUN cana-2256 88 14 , , PUNCT cana-2256 88 15 we we PRON cana-2256 88 16 use use VERB cana-2256 88 17 the the DET cana-2256 88 18 homin homin NOUN cana-2256 88 19 to to PART cana-2256 88 20 build build VERB cana-2256 88 21 sub sub NOUN cana-2256 88 22 - - NOUN cana-2256 88 23 models model NOUN cana-2256 88 24 that that PRON cana-2256 88 25 are be AUX cana-2256 88 26 dependent dependent ADJ cana-2256 88 27 on on ADP cana-2256 88 28 each each DET cana-2256 88 29 feature.a feature.a PROPN cana-2256 88 30 homin homin NOUN cana-2256 88 31 is be AUX cana-2256 88 32 a a DET cana-2256 88 33 kind kind NOUN cana-2256 88 34 of of ADP cana-2256 88 35 artificial artificial ADJ cana-2256 88 36 neural neural ADJ cana-2256 88 37 network network NOUN cana-2256 88 38 that that PRON cana-2256 88 39 uses use VERB cana-2256 88 40 many many ADJ cana-2256 88 41 layers layer NOUN cana-2256 88 42 of of ADP cana-2256 88 43 input input NOUN cana-2256 88 44 and and CCONJ cana-2256 88 45 output output NOUN cana-2256 88 46 connections connection NOUN cana-2256 88 47 . . PUNCT cana-2256 89 1 it it PRON cana-2256 89 2 does do AUX cana-2256 89 3 n't not PART cana-2256 89 4 matter matter VERB cana-2256 89 5 whether whether SCONJ cana-2256 89 6 the the DET cana-2256 89 7 connection connection NOUN cana-2256 89 8 is be AUX cana-2256 89 9 linear linear ADJ cana-2256 89 10 or or CCONJ cana-2256 89 11 non non ADJ cana-2256 89 12 - - ADJ cana-2256 89 13 linear linear ADJ cana-2256 89 14 ; ; PUNCT cana-2256 89 15 the the DET cana-2256 89 16 homin homin NOUN cana-2256 89 17 can can AUX cana-2256 89 18 always always ADV cana-2256 89 19 figure figure VERB cana-2256 89 20 out out ADP cana-2256 89 21 the the DET cana-2256 89 22 right right ADJ cana-2256 89 23 mathematical mathematical ADJ cana-2256 89 24 procedure procedure NOUN cana-2256 89 25 to to PART cana-2256 89 26 solve solve VERB cana-2256 89 27 it it PRON cana-2256 89 28 . . PUNCT cana-2256 90 1 the the DET cana-2256 90 2 vgg16 vgg16 PROPN cana-2256 90 3 neural neural ADJ cana-2256 90 4 network network NOUN cana-2256 90 5 , , PUNCT cana-2256 90 6 originally originally ADV cana-2256 90 7 created create VERB cana-2256 90 8 for for ADP cana-2256 90 9 image image NOUN cana-2256 90 10 classification classification NOUN cana-2256 90 11 , , PUNCT cana-2256 90 12 was be AUX cana-2256 90 13 the the DET cana-2256 90 14 primary primary ADJ cana-2256 90 15 focus focus NOUN cana-2256 90 16 of of ADP cana-2256 90 17 the the DET cana-2256 90 18 first first ADJ cana-2256 90 19 sub sub ADJ cana-2256 90 20 - - ADJ cana-2256 90 21 model model ADJ cana-2256 90 22 network network NOUN cana-2256 90 23 proposals proposal NOUN cana-2256 90 24 . . PUNCT cana-2256 91 1 to to PART cana-2256 91 2 get get VERB cana-2256 91 3 bottleneck bottleneck NOUN cana-2256 91 4 features feature NOUN cana-2256 91 5 in in ADP cana-2256 91 6 a a DET cana-2256 91 7 multi multi ADJ cana-2256 91 8 - - ADJ cana-2256 91 9 layer layer ADJ cana-2256 91 10 perceptron perceptron NOUN cana-2256 91 11 , , PUNCT cana-2256 91 12 one one NUM cana-2256 91 13 of of ADP cana-2256 91 14 the the DET cana-2256 91 15 internal internal ADJ cana-2256 91 16 layers layer NOUN cana-2256 91 17 requires require VERB cana-2256 91 18 a a DET cana-2256 91 19 lower low ADJ cana-2256 91 20 number number NOUN cana-2256 91 21 of of ADP cana-2256 91 22 hidden hide VERB cana-2256 91 23 units unit NOUN cana-2256 91 24 than than ADP cana-2256 91 25 the the DET cana-2256 91 26 others other NOUN cana-2256 91 27 . . PUNCT cana-2256 92 1 this this DET cana-2256 92 2 thin thin ADJ cana-2256 92 3 layer layer NOUN cana-2256 92 4 compresses compress VERB cana-2256 92 5 the the DET cana-2256 92 6 network network NOUN cana-2256 92 7 , , PUNCT cana-2256 92 8 which which PRON cana-2256 92 9 in in ADP cana-2256 92 10 turn turn NOUN cana-2256 92 11 lowers lower VERB cana-2256 92 12 the the DET cana-2256 92 13 dimensionality dimensionality NOUN cana-2256 92 14 of of ADP cana-2256 92 15 the the DET cana-2256 92 16 classification classification NOUN cana-2256 92 17 data datum NOUN cana-2256 92 18 . . PUNCT cana-2256 93 1 making make VERB cana-2256 93 2 advantage advantage NOUN cana-2256 93 3 of of ADP cana-2256 93 4 bottleneck bottleneck NOUN cana-2256 93 5 features feature NOUN cana-2256 93 6 allows allow VERB cana-2256 93 7 us we PRON cana-2256 93 8 to to PART cana-2256 93 9 decrease decrease VERB cana-2256 93 10 the the DET cana-2256 93 11 number number NOUN cana-2256 93 12 of of ADP cana-2256 93 13 factors factor NOUN cana-2256 93 14 that that PRON cana-2256 93 15 need need VERB cana-2256 93 16 instruction instruction NOUN cana-2256 93 17 . . PUNCT cana-2256 94 1 the the DET cana-2256 94 2 following follow VERB cana-2256 94 3 equation equation NOUN cana-2256 94 4 are be AUX cana-2256 94 5 used use VERB cana-2256 94 6 to to PART cana-2256 94 7 compute compute VERB cana-2256 94 8 the the DET cana-2256 94 9 forward forward ADJ cana-2256 94 10 propagation propagation NOUN cana-2256 94 11 : : PUNCT cana-2256 94 12 𝑦𝑙 𝑦𝑙 ADP cana-2256 94 13 = = SYM cana-2256 94 14 𝑍𝑙π‘₯𝑙 𝑍𝑙π‘₯𝑙 VERB cana-2256 94 15 + + CCONJ cana-2256 94 16 𝑦𝑙 𝑦𝑙 ADP cana-2256 94 17 π‘₯+ π‘₯+ NOUN cana-2256 94 18 = = SYM cana-2256 94 19 π‘…π‘’πΏπ‘ˆ(𝑦𝑙 π‘…π‘’πΏπ‘ˆ(𝑦𝑙 NOUN cana-2256 94 20 ) ) PUNCT cana-2256 94 21 ( ( PUNCT cana-2256 94 22 2 2 X cana-2256 94 23 ) ) PUNCT cana-2256 94 24 where where SCONJ cana-2256 94 25 𝑦𝑙 𝑦𝑙 NOUN cana-2256 94 26 is be AUX cana-2256 94 27 the the DET cana-2256 94 28 bias bias NOUN cana-2256 94 29 and and CCONJ cana-2256 94 30 𝑦𝑙 𝑦𝑙 NOUN cana-2256 94 31 is be AUX cana-2256 94 32 the the DET cana-2256 94 33 weights weight NOUN cana-2256 94 34 of of ADP cana-2256 94 35 neurons neuron NOUN cana-2256 94 36 between between ADP cana-2256 94 37 layers layer NOUN cana-2256 94 38 . . PUNCT cana-2256 95 1 the the DET cana-2256 95 2 forward forward ADJ cana-2256 95 3 propagation propagation NOUN cana-2256 95 4 takes take VERB cana-2256 95 5 communications communication NOUN cana-2256 95 6 on on ADP cana-2256 95 7 applied apply VERB cana-2256 95 8 nonlinear nonlinear ADJ cana-2256 95 9 analysis analysis NOUN cana-2256 95 10 issn issn NOUN cana-2256 95 11 : : PUNCT cana-2256 95 12 1074 1074 NUM cana-2256 95 13 - - PUNCT cana-2256 95 14 133x 133x NUM cana-2256 95 15 vol vol NOUN cana-2256 95 16 32 32 NUM cana-2256 95 17 no no NOUN cana-2256 95 18 . . PUNCT cana-2256 96 1 2s 2s NUM cana-2256 96 2 ( ( PUNCT cana-2256 96 3 2025 2025 NUM cana-2256 96 4 ) ) PUNCT cana-2256 96 5 117 117 NUM cana-2256 96 6 https://internationalpubls.com https://internationalpubls.com X cana-2256 96 7 al al PROPN cana-2256 96 8 as as ADP cana-2256 96 9 input input NOUN cana-2256 96 10 and and CCONJ cana-2256 96 11 returns return NOUN cana-2256 96 12 π‘₯+ π‘₯+ PUNCT cana-2256 96 13 as as ADP cana-2256 96 14 output output NOUN cana-2256 96 15 . . PUNCT cana-2256 97 1 to to PART cana-2256 97 2 activate activate VERB cana-2256 97 3 the the DET cana-2256 97 4 model model NOUN cana-2256 97 5 , , PUNCT cana-2256 97 6 we we PRON cana-2256 97 7 use use VERB cana-2256 97 8 the the DET cana-2256 97 9 rectified rectified ADJ cana-2256 97 10 linear linear NOUN cana-2256 97 11 unit unit NOUN cana-2256 97 12 ( ( PUNCT cana-2256 97 13 relu relu NOUN cana-2256 97 14 ) ) PUNCT cana-2256 97 15 function function NOUN cana-2256 97 16 . . PUNCT cana-2256 98 1 following follow VERB cana-2256 98 2 a a DET cana-2256 98 3 softmax softmax NOUN cana-2256 98 4 layer layer NOUN cana-2256 98 5 , , PUNCT cana-2256 98 6 the the PRON cana-2256 98 7 sub sub NOUN cana-2256 98 8 - - NOUN cana-2256 98 9 models model NOUN cana-2256 98 10 generate generate VERB cana-2256 98 11 the the DET cana-2256 98 12 forecast forecast NOUN cana-2256 98 13 . . PUNCT cana-2256 99 1 we we PRON cana-2256 99 2 use use VERB cana-2256 99 3 batch batch NOUN cana-2256 99 4 normalization normalization NOUN cana-2256 99 5 layers layer NOUN cana-2256 99 6 to to PART cana-2256 99 7 speed speed VERB cana-2256 99 8 up up ADP cana-2256 99 9 the the DET cana-2256 99 10 convergence convergence NOUN cana-2256 99 11 process process NOUN cana-2256 99 12 and and CCONJ cana-2256 99 13 dropout dropout NOUN cana-2256 99 14 layers layer NOUN cana-2256 99 15 to to PART cana-2256 99 16 prevent prevent VERB cana-2256 99 17 over over ADP cana-2256 99 18 - - PUNCT cana-2256 99 19 fitting fit VERB cana-2256 99 20 and and CCONJ cana-2256 99 21 improve improve VERB cana-2256 99 22 the the DET cana-2256 99 23 model model NOUN cana-2256 99 24 's 's PART cana-2256 99 25 generalizability generalizability NOUN cana-2256 99 26 . . PUNCT cana-2256 100 1 for for ADP cana-2256 100 2 homin homin NOUN cana-2256 100 3 , , PUNCT cana-2256 100 4 the the DET cana-2256 100 5 integration integration NOUN cana-2256 100 6 of of ADP cana-2256 100 7 many many ADJ cana-2256 100 8 sub sub NOUN cana-2256 100 9 - - NOUN cana-2256 100 10 models model NOUN cana-2256 100 11 is be AUX cana-2256 100 12 crucial crucial ADJ cana-2256 100 13 . . PUNCT cana-2256 101 1 in in ADP cana-2256 101 2 this this DET cana-2256 101 3 step step NOUN cana-2256 101 4 , , PUNCT cana-2256 101 5 the the DET cana-2256 101 6 average average ADJ cana-2256 101 7 operator operator NOUN cana-2256 101 8 takes take VERB cana-2256 101 9 the the DET cana-2256 101 10 results result NOUN cana-2256 101 11 from from ADP cana-2256 101 12 each each DET cana-2256 101 13 sub sub NOUN cana-2256 101 14 - - NOUN cana-2256 101 15 model model NOUN cana-2256 101 16 and and CCONJ cana-2256 101 17 combines combine VERB cana-2256 101 18 them they PRON cana-2256 101 19 to to PART cana-2256 101 20 get get VERB cana-2256 101 21 the the DET cana-2256 101 22 final final ADJ cana-2256 101 23 forecast forecast NOUN cana-2256 101 24 . . PUNCT cana-2256 102 1 figure figure NOUN cana-2256 102 2 2 2 NUM cana-2256 102 3 shows show VERB cana-2256 102 4 that that SCONJ cana-2256 102 5 in in ADP cana-2256 102 6 order order NOUN cana-2256 102 7 to to PART cana-2256 102 8 develop develop VERB cana-2256 102 9 the the DET cana-2256 102 10 prediction prediction NOUN cana-2256 102 11 model model NOUN cana-2256 102 12 , , PUNCT cana-2256 102 13 we we PRON cana-2256 102 14 first first ADV cana-2256 102 15 generate generate VERB cana-2256 102 16 sub sub NOUN cana-2256 102 17 - - NOUN cana-2256 102 18 models model NOUN cana-2256 102 19 from from ADP cana-2256 102 20 various various ADJ cana-2256 102 21 characteristics characteristic NOUN cana-2256 102 22 . . PUNCT cana-2256 103 1 4 4 X cana-2256 103 2 . . NOUN cana-2256 103 3 results result NOUN cana-2256 103 4 and and CCONJ cana-2256 103 5 discussion discussion NOUN cana-2256 103 6 experimental experimental ADJ cana-2256 103 7 data datum NOUN cana-2256 103 8 are be AUX cana-2256 103 9 crucial crucial ADJ cana-2256 103 10 for for ADP cana-2256 103 11 proving prove VERB cana-2256 103 12 that that SCONJ cana-2256 103 13 the the DET cana-2256 103 14 high high ADJ cana-2256 103 15 - - PUNCT cana-2256 103 16 order order NOUN cana-2256 103 17 multimodal multimodal NOUN cana-2256 103 18 interaction interaction NOUN cana-2256 103 19 network network NOUN cana-2256 103 20 ( ( PUNCT cana-2256 103 21 homin homin PROPN cana-2256 103 22 ) ) PUNCT cana-2256 103 23 model model NOUN cana-2256 103 24 can can AUX cana-2256 103 25 accurately accurately ADV cana-2256 103 26 predict predict VERB cana-2256 103 27 drug drug NOUN cana-2256 103 28 - - PUNCT cana-2256 103 29 drug drug NOUN cana-2256 103 30 interactions interaction NOUN cana-2256 103 31 ( ( PUNCT cana-2256 103 32 ddis ddis NOUN cana-2256 103 33 ) ) PUNCT cana-2256 103 34 . . PUNCT cana-2256 104 1 based base VERB cana-2256 104 2 on on ADP cana-2256 104 3 a a DET cana-2256 104 4 hypothetical hypothetical ADJ cana-2256 104 5 or or CCONJ cana-2256 104 6 typical typical ADJ cana-2256 104 7 research research NOUN cana-2256 104 8 scenario scenario NOUN cana-2256 104 9 , , PUNCT cana-2256 104 10 below below ADV cana-2256 104 11 is be AUX cana-2256 104 12 a a DET cana-2256 104 13 general general ADJ cana-2256 104 14 structure structure NOUN cana-2256 104 15 for for ADP cana-2256 104 16 presenting present VERB cana-2256 104 17 these these DET cana-2256 104 18 findings finding NOUN cana-2256 104 19 . . PUNCT cana-2256 105 1 the the DET cana-2256 105 2 results result NOUN cana-2256 105 3 would would AUX cana-2256 105 4 be be AUX cana-2256 105 5 obtained obtain VERB cana-2256 105 6 by by ADP cana-2256 105 7 applying apply VERB cana-2256 105 8 the the DET cana-2256 105 9 model model NOUN cana-2256 105 10 to to ADP cana-2256 105 11 actual actual ADJ cana-2256 105 12 data datum NOUN cana-2256 105 13 in in ADP cana-2256 105 14 your your PRON cana-2256 105 15 studies study NOUN cana-2256 105 16 . . PUNCT cana-2256 106 1 figure figure VERB cana-2256 106 2 3 3 NUM cana-2256 106 3 : : PUNCT cana-2256 106 4 accuracy accuracy NOUN cana-2256 106 5 analysis analysis NOUN cana-2256 106 6 a a DET cana-2256 106 7 homin homin ADJ cana-2256 106 8 model model NOUN cana-2256 106 9 's 's PART cana-2256 106 10 prediction prediction NOUN cana-2256 106 11 accuracy accuracy NOUN cana-2256 106 12 is be AUX cana-2256 106 13 evaluated evaluate VERB cana-2256 106 14 in in ADP cana-2256 106 15 figure figure NOUN cana-2256 106 16 3 3 NUM cana-2256 106 17 . . PUNCT cana-2256 107 1 it it PRON cana-2256 107 2 considers consider VERB cana-2256 107 3 the the DET cana-2256 107 4 ratio ratio NOUN cana-2256 107 5 of of ADP cana-2256 107 6 correct correct ADJ cana-2256 107 7 predictions prediction NOUN cana-2256 107 8 to to ADP cana-2256 107 9 total total ADJ cana-2256 107 10 predictions prediction NOUN cana-2256 107 11 . . PUNCT cana-2256 108 1 when when SCONJ cana-2256 108 2 we we PRON cana-2256 108 3 claim claim VERB cana-2256 108 4 the the DET cana-2256 108 5 hmin hmin NOUN cana-2256 108 6 model model NOUN cana-2256 108 7 was be AUX cana-2256 108 8 accurate accurate ADJ cana-2256 108 9 , , PUNCT cana-2256 108 10 we we PRON cana-2256 108 11 mean mean VERB cana-2256 108 12 it it PRON cana-2256 108 13 recognized recognize VERB cana-2256 108 14 all all DET cana-2256 108 15 medication medication NOUN cana-2256 108 16 combinations combination NOUN cana-2256 108 17 , , PUNCT cana-2256 108 18 interacting interact VERB cana-2256 108 19 or or CCONJ cana-2256 108 20 not not PART cana-2256 108 21 . . PUNCT cana-2256 109 1 in in ADP cana-2256 109 2 imbalanced imbalanced ADJ cana-2256 109 3 datasets dataset NOUN cana-2256 109 4 like like ADP cana-2256 109 5 ddi ddi PROPN cana-2256 109 6 data datum NOUN cana-2256 109 7 , , PUNCT cana-2256 109 8 where where SCONJ cana-2256 109 9 non non ADJ cana-2256 109 10 - - ADJ cana-2256 109 11 interacting interacting ADJ cana-2256 109 12 medication medication NOUN cana-2256 109 13 combinations combination NOUN cana-2256 109 14 outweigh outweigh VERB cana-2256 109 15 interacting interacting ADJ cana-2256 109 16 ones one NOUN cana-2256 109 17 , , PUNCT cana-2256 109 18 high high ADJ cana-2256 109 19 accuracy accuracy NOUN cana-2256 109 20 , , PUNCT cana-2256 109 21 although although SCONJ cana-2256 109 22 positive positive ADJ cana-2256 109 23 , , PUNCT cana-2256 109 24 must must AUX cana-2256 109 25 be be AUX cana-2256 109 26 judged judge VERB cana-2256 109 27 carefully carefully ADV cana-2256 109 28 since since SCONJ cana-2256 109 29 it it PRON cana-2256 109 30 represents represent VERB cana-2256 109 31 the the DET cana-2256 109 32 model model NOUN cana-2256 109 33 's 's PART cana-2256 109 34 overall overall ADJ cana-2256 109 35 effectiveness effectiveness NOUN cana-2256 109 36 . . PUNCT cana-2256 110 1 other other ADJ cana-2256 110 2 criteria criterion NOUN cana-2256 110 3 beyond beyond ADP cana-2256 110 4 accuracy accuracy NOUN cana-2256 110 5 should should AUX cana-2256 110 6 be be AUX cana-2256 110 7 considered consider VERB cana-2256 110 8 while while SCONJ cana-2256 110 9 developing develop VERB cana-2256 110 10 ddi ddi NOUN cana-2256 110 11 forecasts forecast NOUN cana-2256 110 12 . . PUNCT cana-2256 111 1 the the DET cana-2256 111 2 class class NOUN cana-2256 111 3 imbalance imbalance NOUN cana-2256 111 4 would would AUX cana-2256 111 5 enable enable VERB cana-2256 111 6 the the DET cana-2256 111 7 algorithm algorithm NOUN cana-2256 111 8 to to PART cana-2256 111 9 forecast forecast VERB cana-2256 111 10 most most ADJ cana-2256 111 11 couples couple NOUN cana-2256 111 12 as as ADP cana-2256 111 13 non non ADJ cana-2256 111 14 - - ADJ cana-2256 111 15 interacting interact VERB cana-2256 111 16 , , PUNCT cana-2256 111 17 resulting result VERB cana-2256 111 18 in in ADP cana-2256 111 19 high high ADJ cana-2256 111 20 accuracy accuracy NOUN cana-2256 111 21 . . PUNCT cana-2256 112 1 however however ADV cana-2256 112 2 , , PUNCT cana-2256 112 3 it it PRON cana-2256 112 4 would would AUX cana-2256 112 5 ignore ignore VERB cana-2256 112 6 the the DET cana-2256 112 7 crucial crucial ADJ cana-2256 112 8 step step NOUN cana-2256 112 9 of of ADP cana-2256 112 10 detecting detect VERB cana-2256 112 11 interacting interact VERB cana-2256 112 12 couples couple NOUN cana-2256 112 13 . . PUNCT cana-2256 113 1 homin homin PROPN cana-2256 113 2 's 's PART cana-2256 113 3 accuracy accuracy NOUN cana-2256 113 4 is be AUX cana-2256 113 5 good good ADJ cana-2256 113 6 overall overall ADJ cana-2256 113 7 , , PUNCT cana-2256 113 8 but but CCONJ cana-2256 113 9 the the DET cana-2256 113 10 f1 f1 NOUN cana-2256 113 11 - - PUNCT cana-2256 113 12 score score NOUN cana-2256 113 13 shows show VERB cana-2256 113 14 how how SCONJ cana-2256 113 15 effectively effectively ADV cana-2256 113 16 it it PRON cana-2256 113 17 handles handle VERB cana-2256 113 18 real real ADJ cana-2256 113 19 - - PUNCT cana-2256 113 20 world world NOUN cana-2256 113 21 interactions interaction NOUN cana-2256 113 22 . . PUNCT cana-2256 114 1 hmin hmin NOUN cana-2256 114 2 handles handle VERB cana-2256 114 3 high high ADV cana-2256 114 4 - - PUNCT cana-2256 114 5 dimensional dimensional ADJ cana-2256 114 6 multimodal multimodal NOUN cana-2256 114 7 data datum NOUN cana-2256 114 8 better well ADV cana-2256 114 9 than than ADP cana-2256 114 10 competing compete VERB cana-2256 114 11 models model NOUN cana-2256 114 12 , , PUNCT cana-2256 114 13 as as SCONJ cana-2256 114 14 shown show VERB cana-2256 114 15 by by ADP cana-2256 114 16 its its PRON cana-2256 114 17 accuracy accuracy NOUN cana-2256 114 18 . . PUNCT cana-2256 115 1 the the DET cana-2256 115 2 model model NOUN cana-2256 115 3 's 's PART cana-2256 115 4 high high ADJ cana-2256 115 5 - - PUNCT cana-2256 115 6 order order NOUN cana-2256 115 7 interaction interaction NOUN cana-2256 115 8 and and CCONJ cana-2256 115 9 multimodal multimodal NOUN cana-2256 115 10 learning learning NOUN cana-2256 115 11 processes process NOUN cana-2256 115 12 improve improve VERB cana-2256 115 13 prediction prediction NOUN cana-2256 115 14 accuracy accuracy NOUN cana-2256 115 15 . . PUNCT cana-2256 116 1 communications communication NOUN cana-2256 116 2 on on ADP cana-2256 116 3 applied apply VERB cana-2256 116 4 nonlinear nonlinear ADJ cana-2256 116 5 analysis analysis NOUN cana-2256 116 6 issn issn NOUN cana-2256 116 7 : : PUNCT cana-2256 116 8 1074 1074 NUM cana-2256 116 9 - - PUNCT cana-2256 116 10 133x 133x NUM cana-2256 116 11 vol vol NOUN cana-2256 116 12 32 32 NUM cana-2256 116 13 no no NOUN cana-2256 116 14 . . PUNCT cana-2256 117 1 2s 2s NUM cana-2256 117 2 ( ( PUNCT cana-2256 117 3 2025 2025 NUM cana-2256 117 4 ) ) PUNCT cana-2256 117 5 118 118 NUM cana-2256 117 6 https://internationalpubls.com https://internationalpubls.com X cana-2256 117 7 figure figure NOUN cana-2256 117 8 4 4 NUM cana-2256 117 9 : : PUNCT cana-2256 117 10 precision precision NOUN cana-2256 117 11 analysis analysis NOUN cana-2256 117 12 a a DET cana-2256 117 13 drug drug NOUN cana-2256 117 14 interaction interaction NOUN cana-2256 117 15 prediction prediction NOUN cana-2256 117 16 system system NOUN cana-2256 117 17 's 's PART cana-2256 117 18 precision precision NOUN cana-2256 117 19 ( ( PUNCT cana-2256 117 20 figure figure NOUN cana-2256 117 21 4 4 NUM cana-2256 117 22 ) ) PUNCT cana-2256 117 23 is be AUX cana-2256 117 24 the the DET cana-2256 117 25 ratio ratio NOUN cana-2256 117 26 of of ADP cana-2256 117 27 correct correct ADJ cana-2256 117 28 forecasts forecast NOUN cana-2256 117 29 to to ADP cana-2256 117 30 positive positive ADJ cana-2256 117 31 predictions prediction NOUN cana-2256 117 32 . . PUNCT cana-2256 118 1 in in ADP cana-2256 118 2 this this DET cana-2256 118 3 case case NOUN cana-2256 118 4 , , PUNCT cana-2256 118 5 the the DET cana-2256 118 6 homin homin PROPN cana-2256 118 7 model model PROPN cana-2256 118 8 predicted predict VERB cana-2256 118 9 drug drug NOUN cana-2256 118 10 interactions interaction NOUN cana-2256 118 11 accurately accurately ADV cana-2256 118 12 . . PUNCT cana-2256 119 1 in in ADP cana-2256 119 2 ddi ddi PROPN cana-2256 119 3 , , PUNCT cana-2256 119 4 good good ADJ cana-2256 119 5 accuracy accuracy NOUN cana-2256 119 6 is be AUX cana-2256 119 7 crucial crucial ADJ cana-2256 119 8 to to PART cana-2256 119 9 avoid avoid VERB cana-2256 119 10 clinically clinically ADV cana-2256 119 11 unnecessary unnecessary ADJ cana-2256 119 12 indications indication NOUN cana-2256 119 13 or or CCONJ cana-2256 119 14 treatments treatment NOUN cana-2256 119 15 due due ADJ cana-2256 119 16 to to ADP cana-2256 119 17 false false ADJ cana-2256 119 18 positive positive ADJ cana-2256 119 19 predictions prediction NOUN cana-2256 119 20 ( ( PUNCT cana-2256 119 21 missing miss VERB cana-2256 119 22 pharmaceutical pharmaceutical ADJ cana-2256 119 23 interactions interaction NOUN cana-2256 119 24 ) ) PUNCT cana-2256 119 25 . . PUNCT cana-2256 120 1 ddi ddi PROPN cana-2256 120 2 false false ADJ cana-2256 120 3 positives positive NOUN cana-2256 120 4 may may AUX cana-2256 120 5 harm harm VERB cana-2256 120 6 patient patient ADJ cana-2256 120 7 care care NOUN cana-2256 120 8 and and CCONJ cana-2256 120 9 are be AUX cana-2256 120 10 misleading misleading ADJ cana-2256 120 11 . . PUNCT cana-2256 121 1 if if SCONJ cana-2256 121 2 a a DET cana-2256 121 3 doctor doctor NOUN cana-2256 121 4 gets get VERB cana-2256 121 5 a a DET cana-2256 121 6 false false ADJ cana-2256 121 7 interaction interaction NOUN cana-2256 121 8 warning warning NOUN cana-2256 121 9 , , PUNCT cana-2256 121 10 they they PRON cana-2256 121 11 may may AUX cana-2256 121 12 change change VERB cana-2256 121 13 a a DET cana-2256 121 14 patient patient NOUN cana-2256 121 15 's 's PART cana-2256 121 16 prescription prescription NOUN cana-2256 121 17 without without ADP cana-2256 121 18 proper proper ADJ cana-2256 121 19 treatment treatment NOUN cana-2256 121 20 . . PUNCT cana-2256 122 1 hmin hmin PROPN cana-2256 122 2 's 's PART cana-2256 122 3 precision precision NOUN cana-2256 122 4 ensures ensure VERB cana-2256 122 5 that that SCONJ cana-2256 122 6 the the DET cana-2256 122 7 model model NOUN cana-2256 122 8 is be AUX cana-2256 122 9 cautious cautious ADJ cana-2256 122 10 when when SCONJ cana-2256 122 11 predicting predict VERB cana-2256 122 12 interactions interaction NOUN cana-2256 122 13 , , PUNCT cana-2256 122 14 reducing reduce VERB cana-2256 122 15 unnecessary unnecessary ADJ cana-2256 122 16 warnings warning NOUN cana-2256 122 17 and and CCONJ cana-2256 122 18 boosting boost VERB cana-2256 122 19 system system NOUN cana-2256 122 20 trust trust NOUN cana-2256 122 21 . . PUNCT cana-2256 123 1 baseline baseline PROPN cana-2256 123 2 models model NOUN cana-2256 123 3 have have VERB cana-2256 123 4 less less ADV cana-2256 123 5 effective effective ADJ cana-2256 123 6 scores score NOUN cana-2256 123 7 for for ADP cana-2256 123 8 precision precision NOUN cana-2256 123 9 since since SCONJ cana-2256 123 10 they they PRON cana-2256 123 11 fail fail VERB cana-2256 123 12 to to PART cana-2256 123 13 detect detect VERB cana-2256 123 14 false false ADJ cana-2256 123 15 positives positive NOUN cana-2256 123 16 in in ADP cana-2256 123 17 high high ADJ cana-2256 123 18 - - PUNCT cana-2256 123 19 dimensional dimensional ADJ cana-2256 123 20 datasets dataset NOUN cana-2256 123 21 . . PUNCT cana-2256 124 1 homin homin PROPN cana-2256 124 2 employs employ VERB cana-2256 124 3 multimodal multimodal ADJ cana-2256 124 4 data datum NOUN cana-2256 124 5 ( ( PUNCT cana-2256 124 6 chemical chemical NOUN cana-2256 124 7 , , PUNCT cana-2256 124 8 biological biological ADJ cana-2256 124 9 , , PUNCT cana-2256 124 10 and and CCONJ cana-2256 124 11 clinical clinical ADJ cana-2256 124 12 ) ) PUNCT cana-2256 124 13 to to PART cana-2256 124 14 improve improve VERB cana-2256 124 15 predictions prediction NOUN cana-2256 124 16 . . PUNCT cana-2256 125 1 its its PRON cana-2256 125 2 high high ADJ cana-2256 125 3 - - PUNCT cana-2256 125 4 order order NOUN cana-2256 125 5 interaction interaction NOUN cana-2256 125 6 capture capture NOUN cana-2256 125 7 helps help VERB cana-2256 125 8 elucidate elucidate VERB cana-2256 125 9 complex complex ADJ cana-2256 125 10 drug drug NOUN cana-2256 125 11 relationships relationship NOUN cana-2256 125 12 . . PUNCT cana-2256 126 1 figure figure VERB cana-2256 126 2 5 5 NUM cana-2256 126 3 : : PUNCT cana-2256 126 4 f1 f1 ADJ cana-2256 126 5 - - PUNCT cana-2256 126 6 score score NOUN cana-2256 126 7 analysis analysis NOUN cana-2256 126 8 the the DET cana-2256 126 9 f1 f1 NOUN cana-2256 126 10 - - PUNCT cana-2256 126 11 score score NOUN cana-2256 126 12 ( ( PUNCT cana-2256 126 13 figure figure NOUN cana-2256 126 14 5 5 NUM cana-2256 126 15 ) ) PUNCT cana-2256 126 16 balances balance NOUN cana-2256 126 17 finding find VERB cana-2256 126 18 actual actual ADJ cana-2256 126 19 positives positive NOUN cana-2256 126 20 ( ( PUNCT cana-2256 126 21 recall recall NOUN cana-2256 126 22 ) ) PUNCT cana-2256 126 23 and and CCONJ cana-2256 126 24 eliminating eliminate VERB cana-2256 126 25 false false ADJ cana-2256 126 26 positives positive NOUN cana-2256 126 27 by by ADP cana-2256 126 28 incorporating incorporate VERB cana-2256 126 29 accuracy accuracy NOUN cana-2256 126 30 and and CCONJ cana-2256 126 31 precision precision NOUN cana-2256 126 32 . . PUNCT cana-2256 127 1 the the DET cana-2256 127 2 f1 f1 NOUN cana-2256 127 3 - - PUNCT cana-2256 127 4 score score NOUN cana-2256 127 5 excels excel NOUN cana-2256 127 6 in in ADP cana-2256 127 7 ddi ddi ADJ cana-2256 127 8 prediction prediction NOUN cana-2256 127 9 and and CCONJ cana-2256 127 10 similar similar ADJ cana-2256 127 11 situations situation NOUN cana-2256 127 12 due due ADP cana-2256 127 13 to to ADP cana-2256 127 14 the the DET cana-2256 127 15 enormous enormous ADJ cana-2256 127 16 difference difference NOUN cana-2256 127 17 between between ADP cana-2256 127 18 drug drug NOUN cana-2256 127 19 combinations combination NOUN cana-2256 127 20 that that PRON cana-2256 127 21 interact interact VERB cana-2256 127 22 and and CCONJ cana-2256 127 23 those those PRON cana-2256 127 24 that that PRON cana-2256 127 25 do do VERB cana-2256 127 26 n't not PART cana-2256 127 27 . . PUNCT cana-2256 128 1 the the DET cana-2256 128 2 f1score f1score NOUN cana-2256 128 3 shows show VERB cana-2256 128 4 that that SCONJ cana-2256 128 5 homin homin PROPN cana-2256 128 6 minimizes minimize VERB cana-2256 128 7 false false ADJ cana-2256 128 8 positives positive NOUN cana-2256 128 9 and and CCONJ cana-2256 128 10 identifies identify VERB cana-2256 128 11 meaningful meaningful ADJ cana-2256 128 12 interactions interaction NOUN cana-2256 128 13 . . PUNCT cana-2256 129 1 the the DET cana-2256 129 2 f1communications f1communication NOUN cana-2256 129 3 on on ADP cana-2256 129 4 applied apply VERB cana-2256 129 5 nonlinear nonlinear ADJ cana-2256 129 6 analysis analysis NOUN cana-2256 129 7 issn issn NOUN cana-2256 129 8 : : PUNCT cana-2256 129 9 1074 1074 NUM cana-2256 129 10 - - PUNCT cana-2256 129 11 133x 133x NUM cana-2256 129 12 vol vol NOUN cana-2256 129 13 32 32 NUM cana-2256 129 14 no no NOUN cana-2256 129 15 . . PUNCT cana-2256 130 1 2s 2s NUM cana-2256 130 2 ( ( PUNCT cana-2256 130 3 2025 2025 NUM cana-2256 130 4 ) ) PUNCT cana-2256 130 5 119 119 NUM cana-2256 130 6 https://internationalpubls.com https://internationalpubls.com X cana-2256 130 7 score score NOUN cana-2256 130 8 excels excel NOUN cana-2256 130 9 with with ADP cana-2256 130 10 imbalanced imbalanced ADJ cana-2256 130 11 data datum NOUN cana-2256 130 12 , , PUNCT cana-2256 130 13 as as ADP cana-2256 130 14 in in ADP cana-2256 130 15 ddi ddi PROPN cana-2256 130 16 prediction prediction NOUN cana-2256 130 17 . . PUNCT cana-2256 131 1 in in ADP cana-2256 131 2 this this DET cana-2256 131 3 case case NOUN cana-2256 131 4 , , PUNCT cana-2256 131 5 a a DET cana-2256 131 6 model model NOUN cana-2256 131 7 with with ADP cana-2256 131 8 low low ADJ cana-2256 131 9 accuracy accuracy NOUN cana-2256 131 10 but but CCONJ cana-2256 131 11 high high ADJ cana-2256 131 12 recall recall NOUN cana-2256 131 13 may may AUX cana-2256 131 14 recognize recognize VERB cana-2256 131 15 many many ADJ cana-2256 131 16 actual actual ADJ cana-2256 131 17 interactions interaction NOUN cana-2256 131 18 but but CCONJ cana-2256 131 19 also also ADV cana-2256 131 20 many many ADJ cana-2256 131 21 false false ADJ cana-2256 131 22 positives positive NOUN cana-2256 131 23 . . PUNCT cana-2256 132 1 however however ADV cana-2256 132 2 , , PUNCT cana-2256 132 3 an an DET cana-2256 132 4 accurate accurate ADJ cana-2256 132 5 model model NOUN cana-2256 132 6 with with ADP cana-2256 132 7 inadequate inadequate ADJ cana-2256 132 8 memory memory NOUN cana-2256 132 9 can can AUX cana-2256 132 10 overlook overlook VERB cana-2256 132 11 important important ADJ cana-2256 132 12 interactions interaction NOUN cana-2256 132 13 . . PUNCT cana-2256 133 1 homin homin PROPN cana-2256 133 2 's 's PART cana-2256 133 3 strong strong ADJ cana-2256 133 4 f1score f1score NOUN cana-2256 133 5 indicates indicate VERB cana-2256 133 6 that that SCONJ cana-2256 133 7 it it PRON cana-2256 133 8 can can AUX cana-2256 133 9 discover discover VERB cana-2256 133 10 many many ADJ cana-2256 133 11 actual actual ADJ cana-2256 133 12 interactions interaction NOUN cana-2256 133 13 while while SCONJ cana-2256 133 14 minimizing minimize VERB cana-2256 133 15 false false ADJ cana-2256 133 16 positives positive NOUN cana-2256 133 17 . . PUNCT cana-2256 134 1 in in ADP cana-2256 134 2 healthcare healthcare PROPN cana-2256 134 3 environments environment NOUN cana-2256 134 4 , , PUNCT cana-2256 134 5 missed miss VERB cana-2256 134 6 interactions interaction NOUN cana-2256 134 7 ( ( PUNCT cana-2256 134 8 false false ADJ cana-2256 134 9 negatives negative NOUN cana-2256 134 10 ) ) PUNCT cana-2256 134 11 and and CCONJ cana-2256 134 12 erroneous erroneous ADJ cana-2256 134 13 interaction interaction NOUN cana-2256 134 14 warnings warning NOUN cana-2256 134 15 ( ( PUNCT cana-2256 134 16 false false ADJ cana-2256 134 17 positives positive NOUN cana-2256 134 18 ) ) PUNCT cana-2256 134 19 are be AUX cana-2256 134 20 dangerous dangerous ADJ cana-2256 134 21 , , PUNCT cana-2256 134 22 therefore therefore ADV cana-2256 134 23 this this DET cana-2256 134 24 balance balance NOUN cana-2256 134 25 is be AUX cana-2256 134 26 crucial crucial ADJ cana-2256 134 27 . . PUNCT cana-2256 135 1 ddi ddi ADJ cana-2256 135 2 datasets dataset NOUN cana-2256 135 3 frequently frequently ADV cana-2256 135 4 have have VERB cana-2256 135 5 more more ADJ cana-2256 135 6 non non ADJ cana-2256 135 7 - - ADJ cana-2256 135 8 interacting interacting ADJ cana-2256 135 9 pairs pair NOUN cana-2256 135 10 than than ADP cana-2256 135 11 interactive interactive ADJ cana-2256 135 12 ones one NOUN cana-2256 135 13 . . PUNCT cana-2256 136 1 traditional traditional ADJ cana-2256 136 2 models model NOUN cana-2256 136 3 , , PUNCT cana-2256 136 4 which which PRON cana-2256 136 5 generate generate VERB cana-2256 136 6 acceptable acceptable ADJ cana-2256 136 7 outcomes outcome NOUN cana-2256 136 8 by by ADP cana-2256 136 9 falsely falsely ADV cana-2256 136 10 anticipating anticipate VERB cana-2256 136 11 that that SCONJ cana-2256 136 12 most most ADJ cana-2256 136 13 medicine medicine NOUN cana-2256 136 14 pairings pairing NOUN cana-2256 136 15 will will AUX cana-2256 136 16 not not PART cana-2256 136 17 interact interact VERB cana-2256 136 18 , , PUNCT cana-2256 136 19 may may AUX cana-2256 136 20 be be AUX cana-2256 136 21 affected affect VERB cana-2256 136 22 by by ADP cana-2256 136 23 this this DET cana-2256 136 24 imbalance imbalance NOUN cana-2256 136 25 . . PUNCT cana-2256 137 1 due due ADP cana-2256 137 2 to to ADP cana-2256 137 3 its its PRON cana-2256 137 4 high high ADJ cana-2256 137 5 f1 f1 NOUN cana-2256 137 6 - - PUNCT cana-2256 137 7 score score NOUN cana-2256 137 8 , , PUNCT cana-2256 137 9 homin homin PROPN cana-2256 137 10 effectively effectively ADV cana-2256 137 11 manages manage VERB cana-2256 137 12 this this DET cana-2256 137 13 imbalance imbalance NOUN cana-2256 137 14 even even ADV cana-2256 137 15 in in ADP cana-2256 137 16 rare rare ADJ cana-2256 137 17 positive positive ADJ cana-2256 137 18 situations situation NOUN cana-2256 137 19 ( ( PUNCT cana-2256 137 20 interacting interact VERB cana-2256 137 21 drugs drug NOUN cana-2256 137 22 ) ) PUNCT cana-2256 137 23 . . PUNCT cana-2256 138 1 homin homin PROPN cana-2256 138 2 may may AUX cana-2256 138 3 predict predict VERB cana-2256 138 4 clinical clinical ADJ cana-2256 138 5 ddis ddi NOUN cana-2256 138 6 because because SCONJ cana-2256 138 7 of of ADP cana-2256 138 8 its its PRON cana-2256 138 9 adaptability adaptability NOUN cana-2256 138 10 . . PUNCT cana-2256 139 1 5 5 X cana-2256 139 2 . . X cana-2256 139 3 conclusion conclusion NOUN cana-2256 139 4 in in ADP cana-2256 139 5 this this DET cana-2256 139 6 study study NOUN cana-2256 139 7 , , PUNCT cana-2256 139 8 we we PRON cana-2256 139 9 provide provide VERB cana-2256 139 10 homin homin NOUN cana-2256 139 11 , , PUNCT cana-2256 139 12 an an DET cana-2256 139 13 innovative innovative ADJ cana-2256 139 14 framework framework NOUN cana-2256 139 15 for for ADP cana-2256 139 16 the the DET cana-2256 139 17 prediction prediction NOUN cana-2256 139 18 of of ADP cana-2256 139 19 drug drug NOUN cana-2256 139 20 - - PUNCT cana-2256 139 21 drug drug NOUN cana-2256 139 22 interactions interaction NOUN cana-2256 139 23 . . PUNCT cana-2256 140 1 homin homin PROPN cana-2256 140 2 is be AUX cana-2256 140 3 able able ADJ cana-2256 140 4 to to PART cana-2256 140 5 use use VERB cana-2256 140 6 topological topological ADJ cana-2256 140 7 information information NOUN cana-2256 140 8 and and CCONJ cana-2256 140 9 semantic semantic ADJ cana-2256 140 10 relations relation NOUN cana-2256 140 11 efficiently efficiently ADV cana-2256 140 12 by by ADP cana-2256 140 13 applying apply VERB cana-2256 140 14 a a DET cana-2256 140 15 neural neural ADJ cana-2256 140 16 network network NOUN cana-2256 140 17 to to ADP cana-2256 140 18 the the DET cana-2256 140 19 pharmacological pharmacological ADJ cana-2256 140 20 knowledge knowledge NOUN cana-2256 140 21 graph graph NOUN cana-2256 140 22 . . PUNCT cana-2256 141 1 through through ADP cana-2256 141 2 the the DET cana-2256 141 3 joint joint ADJ cana-2256 141 4 representation representation NOUN cana-2256 141 5 learning learning NOUN cana-2256 141 6 of of ADP cana-2256 141 7 structural structural ADJ cana-2256 141 8 information information NOUN cana-2256 141 9 and and CCONJ cana-2256 141 10 heterogeneous heterogeneous ADJ cana-2256 141 11 features feature NOUN cana-2256 141 12 , , PUNCT cana-2256 141 13 homin homin PROPN cana-2256 141 14 delves delf NOUN cana-2256 141 15 further far ADV cana-2256 141 16 into into ADP cana-2256 141 17 investigating investigate VERB cana-2256 141 18 the the DET cana-2256 141 19 cross cross ADJ cana-2256 141 20 - - ADJ cana-2256 141 21 modal modal ADJ cana-2256 141 22 complementarity complementarity NOUN cana-2256 141 23 of of ADP cana-2256 141 24 the the DET cana-2256 141 25 multimodal multimodal NOUN cana-2256 141 26 data datum NOUN cana-2256 141 27 . . PUNCT cana-2256 142 1 the the DET cana-2256 142 2 experimental experimental ADJ cana-2256 142 3 results result NOUN cana-2256 142 4 show show VERB cana-2256 142 5 that that SCONJ cana-2256 142 6 homin homin PROPN cana-2256 142 7 outperforms outperform NOUN cana-2256 142 8 both both CCONJ cana-2256 142 9 conventional conventional ADJ cana-2256 142 10 and and CCONJ cana-2256 142 11 state state NOUN cana-2256 142 12 - - PUNCT cana-2256 142 13 of of ADP cana-2256 142 14 - - PUNCT cana-2256 142 15 the the DET cana-2256 142 16 - - PUNCT cana-2256 142 17 art art NOUN cana-2256 142 18 approaches approach NOUN cana-2256 142 19 to to ADP cana-2256 142 20 ddi ddi PROPN cana-2256 142 21 event event NOUN cana-2256 142 22 prediction prediction NOUN cana-2256 142 23 . . PUNCT cana-2256 143 1 references reference NOUN cana-2256 143 2 [ [ X cana-2256 143 3 1 1 NUM cana-2256 143 4 ] ] X cana-2256 143 5 liu liu PROPN cana-2256 143 6 , , PUNCT cana-2256 143 7 s. s. PROPN cana-2256 143 8 , , PUNCT cana-2256 143 9 zhang zhang PROPN cana-2256 143 10 , , PUNCT cana-2256 143 11 y. y. PROPN cana-2256 143 12 , , PUNCT cana-2256 143 13 cui cui PROPN cana-2256 143 14 , , PUNCT cana-2256 143 15 y. y. PROPN cana-2256 143 16 , , PUNCT cana-2256 143 17 qiu qiu PROPN cana-2256 143 18 , , PUNCT cana-2256 143 19 y. y. PROPN cana-2256 143 20 , , PUNCT cana-2256 143 21 deng deng PROPN cana-2256 143 22 , , PUNCT cana-2256 143 23 y. y. PROPN cana-2256 143 24 , , PUNCT cana-2256 143 25 zhang zhang PROPN cana-2256 143 26 , , PUNCT cana-2256 143 27 z. z. PROPN cana-2256 143 28 , , PUNCT cana-2256 143 29 & & CCONJ cana-2256 143 30 zhang zhang PROPN cana-2256 143 31 , , PUNCT cana-2256 143 32 w. w. PROPN cana-2256 143 33 ( ( PUNCT cana-2256 143 34 2022 2022 NUM cana-2256 143 35 ) ) PUNCT cana-2256 143 36 . . PUNCT cana-2256 144 1 enhancing enhance VERB cana-2256 144 2 drug drug NOUN cana-2256 144 3 - - PUNCT cana-2256 144 4 drug drug NOUN cana-2256 144 5 interaction interaction NOUN cana-2256 144 6 prediction prediction NOUN cana-2256 144 7 using use VERB cana-2256 144 8 deep deep ADJ cana-2256 144 9 attention attention NOUN cana-2256 144 10 neural neural ADJ cana-2256 144 11 networks network NOUN cana-2256 144 12 . . PUNCT cana-2256 145 1 ieee ieee PROPN cana-2256 145 2 / / SYM cana-2256 145 3 acm acm PROPN cana-2256 145 4 transactions transaction NOUN cana-2256 145 5 on on ADP cana-2256 145 6 computational computational ADJ cana-2256 145 7 biology biology NOUN cana-2256 145 8 and and CCONJ cana-2256 145 9 bioinformatics bioinformatics NOUN cana-2256 145 10 , , PUNCT cana-2256 145 11 20(2 20(2 NUM cana-2256 145 12 ) ) PUNCT cana-2256 145 13 , , PUNCT cana-2256 145 14 976 976 NUM cana-2256 145 15 - - SYM cana-2256 145 16 985 985 NUM cana-2256 145 17 . . PUNCT cana-2256 146 1 [ [ X cana-2256 146 2 2 2 NUM cana-2256 146 3 ] ] X cana-2256 146 4 kodric kodric PROPN cana-2256 146 5 , , PUNCT cana-2256 146 6 z. z. PROPN cana-2256 146 7 , , PUNCT cana-2256 146 8 vrhovec vrhovec PROPN cana-2256 146 9 , , PUNCT cana-2256 146 10 s. s. PROPN cana-2256 146 11 , , PUNCT cana-2256 146 12 & & CCONJ cana-2256 146 13 jelovcan jelovcan PROPN cana-2256 146 14 , , PUNCT cana-2256 146 15 l. l. PROPN cana-2256 146 16 ( ( PUNCT cana-2256 146 17 2021 2021 NUM cana-2256 146 18 ) ) PUNCT cana-2256 146 19 . . PUNCT cana-2256 147 1 securing secure VERB cana-2256 147 2 edge edge NOUN cana-2256 147 3 - - PUNCT cana-2256 147 4 enabled enable VERB cana-2256 147 5 smart smart ADJ cana-2256 147 6 healthcare healthcare NOUN cana-2256 147 7 systems system NOUN cana-2256 147 8 with with ADP cana-2256 147 9 blockchain blockchain PROPN cana-2256 147 10 : : PUNCT cana-2256 147 11 a a DET cana-2256 147 12 systematic systematic ADJ cana-2256 147 13 literature literature PROPN cana-2256 147 14 review review PROPN cana-2256 147 15 . . PUNCT cana-2256 148 1 journal journal PROPN cana-2256 148 2 of of ADP cana-2256 148 3 internet internet NOUN cana-2256 148 4 services service NOUN cana-2256 148 5 and and CCONJ cana-2256 148 6 information information NOUN cana-2256 148 7 security security NOUN cana-2256 148 8 , , PUNCT cana-2256 148 9 11(4 11(4 NUM cana-2256 148 10 ) ) PUNCT cana-2256 148 11 , , PUNCT cana-2256 148 12 19 19 NUM cana-2256 148 13 - - SYM cana-2256 148 14 32 32 NUM cana-2256 148 15 . . PUNCT cana-2256 149 1 [ [ X cana-2256 149 2 3 3 NUM cana-2256 149 3 ] ] X cana-2256 149 4 zhang zhang PROPN cana-2256 149 5 , , PUNCT cana-2256 149 6 y. y. PROPN cana-2256 149 7 , , PUNCT cana-2256 149 8 deng deng PROPN cana-2256 149 9 , , PUNCT cana-2256 149 10 z. z. PROPN cana-2256 149 11 , , PUNCT cana-2256 149 12 xu xu PROPN cana-2256 149 13 , , PUNCT cana-2256 149 14 x. x. PROPN cana-2256 149 15 , , PUNCT cana-2256 149 16 feng feng PROPN cana-2256 149 17 , , PUNCT cana-2256 149 18 y. y. PROPN cana-2256 149 19 , , PUNCT cana-2256 149 20 & & CCONJ cana-2256 149 21 junliang junliang PROPN cana-2256 149 22 , , PUNCT cana-2256 149 23 s. s. PROPN cana-2256 149 24 ( ( PUNCT cana-2256 149 25 2023 2023 NUM cana-2256 149 26 ) ) PUNCT cana-2256 149 27 . . PUNCT cana-2256 150 1 application application NOUN cana-2256 150 2 of of ADP cana-2256 150 3 artificial artificial ADJ cana-2256 150 4 intelligence intelligence NOUN cana-2256 150 5 in in ADP cana-2256 150 6 drug drug NOUN cana-2256 150 7 – – PUNCT cana-2256 150 8 drug drug NOUN cana-2256 150 9 interactions interaction NOUN cana-2256 150 10 prediction prediction NOUN cana-2256 150 11 : : PUNCT cana-2256 150 12 a a DET cana-2256 150 13 review review NOUN cana-2256 150 14 . . PUNCT cana-2256 151 1 journal journal PROPN cana-2256 151 2 of of ADP cana-2256 151 3 chemical chemical ADJ cana-2256 151 4 information information NOUN cana-2256 151 5 and and CCONJ cana-2256 151 6 modeling modeling NOUN cana-2256 151 7 , , PUNCT cana-2256 151 8 64(7 64(7 NOUN cana-2256 151 9 ) ) PUNCT cana-2256 151 10 , , PUNCT cana-2256 151 11 2158 2158 NUM cana-2256 151 12 - - SYM cana-2256 151 13 2173 2173 NUM cana-2256 151 14 . . PUNCT cana-2256 152 1 [ [ X cana-2256 152 2 4 4 NUM cana-2256 152 3 ] ] SYM cana-2256 152 4 mehak mehak X cana-2256 152 5 , , PUNCT cana-2256 152 6 s. s. PROPN cana-2256 152 7 , , PUNCT cana-2256 152 8 himanshi himanshi PROPN cana-2256 152 9 . . PUNCT cana-2256 152 10 , , PUNCT cana-2256 152 11 & & CCONJ cana-2256 152 12 sanju sanju PROPN cana-2256 152 13 , , PUNCT cana-2256 152 14 s. s. PROPN cana-2256 152 15 ( ( PUNCT cana-2256 152 16 2024 2024 NUM cana-2256 152 17 ) ) PUNCT cana-2256 152 18 . . PUNCT cana-2256 153 1 privacy privacy NOUN cana-2256 153 2 - - PUNCT cana-2256 153 3 enhancing enhance VERB cana-2256 153 4 blockchain blockchain NOUN cana-2256 153 5 solutions solution NOUN cana-2256 153 6 for for ADP cana-2256 153 7 the the DET cana-2256 153 8 healthcare healthcare NOUN cana-2256 153 9 sector sector NOUN cana-2256 153 10 : : PUNCT cana-2256 153 11 efficient efficient ADJ cana-2256 153 12 message message NOUN cana-2256 153 13 sharing sharing NOUN cana-2256 153 14 and and CCONJ cana-2256 153 15 robust robust ADJ cana-2256 153 16 big big ADJ cana-2256 153 17 data datum NOUN cana-2256 153 18 protection protection NOUN cana-2256 153 19 . . PUNCT cana-2256 154 1 journal journal PROPN cana-2256 154 2 of of ADP cana-2256 154 3 internet internet NOUN cana-2256 154 4 services service NOUN cana-2256 154 5 and and CCONJ cana-2256 154 6 information information NOUN cana-2256 154 7 security security NOUN cana-2256 154 8 , , PUNCT cana-2256 154 9 14(2 14(2 NUM cana-2256 154 10 ) ) PUNCT cana-2256 154 11 , , PUNCT cana-2256 154 12 85 85 NUM cana-2256 154 13 - - SYM cana-2256 154 14 97 97 NUM cana-2256 154 15 . . PUNCT cana-2256 155 1 [ [ X cana-2256 155 2 5 5 NUM cana-2256 155 3 ] ] SYM cana-2256 155 4 deng deng PROPN cana-2256 155 5 , , PUNCT cana-2256 155 6 y. y. PROPN cana-2256 155 7 , , PUNCT cana-2256 155 8 qiu qiu PROPN cana-2256 155 9 , , PUNCT cana-2256 155 10 y. y. PROPN cana-2256 155 11 , , PUNCT cana-2256 155 12 xu xu PROPN cana-2256 155 13 , , PUNCT cana-2256 155 14 x. x. PROPN cana-2256 155 15 , , PUNCT cana-2256 155 16 liu liu PROPN cana-2256 155 17 , , PUNCT cana-2256 155 18 s. s. PROPN cana-2256 155 19 , , PUNCT cana-2256 155 20 zhang zhang PROPN cana-2256 155 21 , , PUNCT cana-2256 155 22 z. z. PROPN cana-2256 155 23 , , PUNCT cana-2256 155 24 zhu zhu PROPN cana-2256 155 25 , , PUNCT cana-2256 155 26 s. s. PROPN cana-2256 155 27 , , PUNCT cana-2256 155 28 & & CCONJ cana-2256 155 29 zhang zhang PROPN cana-2256 155 30 , , PUNCT cana-2256 155 31 w. w. PROPN cana-2256 155 32 ( ( PUNCT cana-2256 155 33 2022 2022 NUM cana-2256 155 34 ) ) PUNCT cana-2256 155 35 . . PUNCT cana-2256 156 1 meta meta ADJ cana-2256 156 2 - - PUNCT cana-2256 156 3 ddie ddie NOUN cana-2256 156 4 : : PUNCT cana-2256 156 5 predicting predict VERB cana-2256 156 6 drug drug NOUN cana-2256 156 7 – – PUNCT cana-2256 156 8 drug drug NOUN cana-2256 156 9 interaction interaction NOUN cana-2256 156 10 events event NOUN cana-2256 156 11 with with ADP cana-2256 156 12 few few ADJ cana-2256 156 13 - - PUNCT cana-2256 156 14 shot shot NOUN cana-2256 156 15 learning learning NOUN cana-2256 156 16 . . PUNCT cana-2256 157 1 briefings briefing NOUN cana-2256 157 2 in in ADP cana-2256 157 3 bioinformatics bioinformatics NOUN cana-2256 157 4 , , PUNCT cana-2256 157 5 23(1 23(1 NOUN cana-2256 157 6 ) ) PUNCT cana-2256 157 7 , , PUNCT cana-2256 157 8 bbab514 bbab514 PROPN cana-2256 157 9 . . PUNCT cana-2256 158 1 [ [ X cana-2256 158 2 6 6 NUM cana-2256 158 3 ] ] SYM cana-2256 158 4 mansouri mansouri PROPN cana-2256 158 5 , , PUNCT cana-2256 158 6 s. s. PROPN cana-2256 158 7 ( ( PUNCT cana-2256 158 8 2023 2023 NUM cana-2256 158 9 ) ) PUNCT cana-2256 158 10 . . PUNCT cana-2256 159 1 application application NOUN cana-2256 159 2 of of ADP cana-2256 159 3 neural neural ADJ cana-2256 159 4 networks network NOUN cana-2256 159 5 in in ADP cana-2256 159 6 the the DET cana-2256 159 7 medical medical ADJ cana-2256 159 8 field field NOUN cana-2256 159 9 . . PUNCT cana-2256 160 1 journal journal NOUN cana-2256 160 2 of of ADP cana-2256 160 3 wireless wireless ADJ cana-2256 160 4 mobile mobile ADJ cana-2256 160 5 networks network NOUN cana-2256 160 6 , , PUNCT cana-2256 160 7 ubiquitous ubiquitous ADJ cana-2256 160 8 computing computing NOUN cana-2256 160 9 , , PUNCT cana-2256 160 10 and and CCONJ cana-2256 160 11 dependable dependable ADJ cana-2256 160 12 applications application NOUN cana-2256 160 13 , , PUNCT cana-2256 160 14 14(1 14(1 NUM cana-2256 160 15 ) ) PUNCT cana-2256 160 16 , , PUNCT cana-2256 160 17 69 69 NUM cana-2256 160 18 - - SYM cana-2256 160 19 81 81 NUM cana-2256 160 20 . . PUNCT cana-2256 161 1 [ [ X cana-2256 161 2 7 7 NUM cana-2256 161 3 ] ] X cana-2256 161 4 huang huang PROPN cana-2256 161 5 , , PUNCT cana-2256 161 6 l. l. PROPN cana-2256 161 7 , , PUNCT cana-2256 161 8 chen chen PROPN cana-2256 161 9 , , PUNCT cana-2256 161 10 q. q. PROPN cana-2256 161 11 , , PUNCT cana-2256 161 12 & & CCONJ cana-2256 161 13 lan lan PROPN cana-2256 161 14 , , PUNCT cana-2256 161 15 w. w. PROPN cana-2256 161 16 ( ( PUNCT cana-2256 161 17 2023 2023 NUM cana-2256 161 18 ) ) PUNCT cana-2256 161 19 . . PUNCT cana-2256 162 1 predicting predict VERB cana-2256 162 2 drug drug NOUN cana-2256 162 3 – – PUNCT cana-2256 162 4 drug drug NOUN cana-2256 162 5 interactions interaction NOUN cana-2256 162 6 based base VERB cana-2256 162 7 on on ADP cana-2256 162 8 multi multi ADJ cana-2256 162 9 - - ADJ cana-2256 162 10 view view NOUN cana-2256 162 11 and and CCONJ cana-2256 162 12 multichannel multichannel ADJ cana-2256 162 13 attention attention NOUN cana-2256 162 14 deep deep ADJ cana-2256 162 15 learning learning NOUN cana-2256 162 16 . . PUNCT cana-2256 163 1 health health NOUN cana-2256 163 2 information information NOUN cana-2256 163 3 science science NOUN cana-2256 163 4 and and CCONJ cana-2256 163 5 systems system NOUN cana-2256 163 6 , , PUNCT cana-2256 163 7 11(1 11(1 NUM cana-2256 163 8 ) ) PUNCT cana-2256 163 9 , , PUNCT cana-2256 163 10 50 50 NUM cana-2256 163 11 . . PUNCT cana-2256 164 1 [ [ X cana-2256 164 2 8 8 NUM cana-2256 164 3 ] ] X cana-2256 164 4 malathi malathi PROPN cana-2256 164 5 , , PUNCT cana-2256 164 6 k. k. PROPN cana-2256 164 7 , , PUNCT cana-2256 164 8 shruthi shruthi PROPN cana-2256 164 9 , , PUNCT cana-2256 164 10 s.n s.n PROPN cana-2256 164 11 . . PROPN cana-2256 164 12 , , PUNCT cana-2256 164 13 madhumitha madhumitha NOUN cana-2256 164 14 , , PUNCT cana-2256 164 15 n. n. NOUN cana-2256 164 16 , , PUNCT cana-2256 164 17 sreelakshmi sreelakshmi NOUN cana-2256 164 18 , , PUNCT cana-2256 164 19 s. s. PROPN cana-2256 164 20 , , PUNCT cana-2256 164 21 sathya sathya PROPN cana-2256 164 22 , , PUNCT cana-2256 164 23 u. u. PROPN cana-2256 164 24 , , PUNCT cana-2256 164 25 & & CCONJ cana-2256 164 26 sangeetha sangeetha PROPN cana-2256 164 27 , , PUNCT cana-2256 164 28 p.m. p.m. NOUN cana-2256 164 29 ( ( PUNCT cana-2256 164 30 2024 2024 NUM cana-2256 164 31 ) ) PUNCT cana-2256 164 32 . . PUNCT cana-2256 165 1 medical medical ADJ cana-2256 165 2 data datum NOUN cana-2256 165 3 integration integration NOUN cana-2256 165 4 and and CCONJ cana-2256 165 5 interoperability interoperability NOUN cana-2256 165 6 through through ADP cana-2256 165 7 remote remote ADJ cana-2256 165 8 monitoring monitoring NOUN cana-2256 165 9 of of ADP cana-2256 165 10 healthcare healthcare NOUN cana-2256 165 11 devices device NOUN cana-2256 165 12 . . PUNCT cana-2256 166 1 journal journal PROPN cana-2256 166 2 of of ADP cana-2256 166 3 wireless wireless ADJ cana-2256 166 4 mobile mobile ADJ cana-2256 166 5 networks network NOUN cana-2256 166 6 , , PUNCT cana-2256 166 7 ubiquitous ubiquitous ADJ cana-2256 166 8 computing computing NOUN cana-2256 166 9 , , PUNCT cana-2256 166 10 and and CCONJ cana-2256 166 11 dependable dependable ADJ cana-2256 166 12 applications application NOUN cana-2256 166 13 ( ( PUNCT cana-2256 166 14 jowua jowua ADJ cana-2256 166 15 ) ) PUNCT cana-2256 166 16 , , PUNCT cana-2256 166 17 15(2 15(2 NUM cana-2256 166 18 ) ) PUNCT cana-2256 166 19 , , PUNCT cana-2256 166 20 60 60 NUM cana-2256 166 21 - - SYM cana-2256 166 22 72 72 NUM cana-2256 166 23 . . PUNCT cana-2256 167 1 https://doi.org/10.58346/jowua.2024.i2.005 https://doi.org/10.58346/jowua.2024.i2.005 ADJ cana-2256 168 1 [ [ X cana-2256 168 2 9 9 NUM cana-2256 168 3 ] ] SYM cana-2256 168 4 ahmad ahmad PROPN cana-2256 168 5 , , PUNCT cana-2256 168 6 mobin mobin X cana-2256 168 7 , , PUNCT cana-2256 168 8 mohd mohd PROPN cana-2256 168 9 . . PUNCT cana-2256 168 10 bilal bilal PROPN cana-2256 168 11 , , PUNCT cana-2256 168 12 and and CCONJ cana-2256 168 13 gazala gazala NOUN cana-2256 168 14 . . PUNCT cana-2256 169 1 " " PUNCT cana-2256 169 2 $ $ SYM cana-2256 169 3 \rho$-einstein \rho$-einstein NOUN cana-2256 169 4 solitons soliton NOUN cana-2256 169 5 in in ADP cana-2256 169 6 lorentzian lorentzian ADJ cana-2256 169 7 para para PROPN cana-2256 169 8 - - PUNCT cana-2256 169 9 kenmotsu kenmotsu NOUN cana-2256 169 10 manifolds manifold NOUN cana-2256 169 11 . . PUNCT cana-2256 169 12 " " PUNCT cana-2256 169 13 results result NOUN cana-2256 169 14 in in ADP cana-2256 169 15 nonlinear nonlinear ADJ cana-2256 169 16 analysis analysis NOUN cana-2256 169 17 , , PUNCT cana-2256 169 18 vol vol NOUN cana-2256 169 19 . . PROPN cana-2256 169 20 7 7 NUM cana-2256 169 21 , , PUNCT cana-2256 169 22 no no INTJ cana-2256 169 23 . . NOUN cana-2256 169 24 2 2 NUM cana-2256 169 25 , , PUNCT cana-2256 169 26 2024 2024 NUM cana-2256 169 27 , , PUNCT cana-2256 169 28 pp pp ADV cana-2256 169 29 . . PUNCT cana-2256 170 1 53–63 53–63 NUM cana-2256 170 2 . . PUNCT cana-2256 171 1 [ [ X cana-2256 171 2 10 10 NUM cana-2256 171 3 ] ] X cana-2256 171 4 camgΓΆzlΓΌ camgΓΆzlΓΌ NOUN cana-2256 171 5 , , PUNCT cana-2256 171 6 y. y. PROPN cana-2256 171 7 , , PUNCT cana-2256 171 8 & & CCONJ cana-2256 171 9 kutlu kutlu PROPN cana-2256 171 10 , , PUNCT cana-2256 171 11 y. y. PROPN cana-2256 171 12 ( ( PUNCT cana-2256 171 13 2023 2023 NUM cana-2256 171 14 ) ) PUNCT cana-2256 171 15 . . PUNCT cana-2256 172 1 leaf leaf NOUN cana-2256 172 2 image image NOUN cana-2256 172 3 classification classification NOUN cana-2256 172 4 based base VERB cana-2256 172 5 on on ADP cana-2256 172 6 pre pre ADJ cana-2256 172 7 - - ADJ cana-2256 172 8 trained train VERB cana-2256 172 9 convolutional convolutional ADJ cana-2256 172 10 neural neural ADJ cana-2256 172 11 network network NOUN cana-2256 172 12 models model NOUN cana-2256 172 13 . . PUNCT cana-2256 173 1 natural natural ADJ cana-2256 173 2 and and CCONJ cana-2256 173 3 engineering engineering NOUN cana-2256 173 4 sciences science NOUN cana-2256 173 5 , , PUNCT cana-2256 173 6 8(3 8(3 NUM cana-2256 173 7 ) ) PUNCT cana-2256 173 8 , , PUNCT cana-2256 173 9 214 214 NUM cana-2256 173 10 - - SYM cana-2256 173 11 232 232 NUM cana-2256 173 12 . . PUNCT cana-2256 174 1 communications communication NOUN cana-2256 174 2 on on ADP cana-2256 174 3 applied apply VERB cana-2256 174 4 nonlinear nonlinear ADJ cana-2256 174 5 analysis analysis NOUN cana-2256 174 6 issn issn NOUN cana-2256 174 7 : : PUNCT cana-2256 174 8 1074 1074 NUM cana-2256 174 9 - - PUNCT cana-2256 174 10 133x 133x NUM cana-2256 174 11 vol vol NOUN cana-2256 174 12 32 32 NUM cana-2256 174 13 no no NOUN cana-2256 174 14 . . PUNCT cana-2256 175 1 2s 2s NUM cana-2256 175 2 ( ( PUNCT cana-2256 175 3 2025 2025 NUM cana-2256 175 4 ) ) PUNCT cana-2256 175 5 120 120 NUM cana-2256 175 6 https://internationalpubls.com https://internationalpubls.com X cana-2256 176 1 [ [ X cana-2256 176 2 11 11 NUM cana-2256 176 3 ] ] X cana-2256 176 4 ren ren PROPN cana-2256 176 5 , , PUNCT cana-2256 176 6 z. z. PROPN cana-2256 176 7 h. h. PROPN cana-2256 176 8 , , PUNCT cana-2256 176 9 yu yu PROPN cana-2256 176 10 , , PUNCT cana-2256 176 11 c. c. PROPN cana-2256 176 12 q. q. PROPN cana-2256 176 13 , , PUNCT cana-2256 176 14 li li PROPN cana-2256 176 15 , , PUNCT cana-2256 176 16 l. l. PROPN cana-2256 176 17 p. p. PROPN cana-2256 176 18 , , PUNCT cana-2256 176 19 you you PRON cana-2256 176 20 , , PUNCT cana-2256 176 21 z. z. PROPN cana-2256 176 22 h. h. PROPN cana-2256 176 23 , , PUNCT cana-2256 176 24 guan guan PROPN cana-2256 176 25 , , PUNCT cana-2256 176 26 y. y. PROPN cana-2256 176 27 j. j. PROPN cana-2256 176 28 , , PUNCT cana-2256 176 29 wang wang PROPN cana-2256 176 30 , , PUNCT cana-2256 176 31 x. x. PROPN cana-2256 176 32 f. f. PROPN cana-2256 176 33 , , PUNCT cana-2256 176 34 & & CCONJ cana-2256 176 35 pan pan PROPN cana-2256 176 36 , , PUNCT cana-2256 176 37 j. j. PROPN cana-2256 176 38 ( ( PUNCT cana-2256 176 39 2022 2022 NUM cana-2256 176 40 ) ) PUNCT cana-2256 176 41 . . PUNCT cana-2256 177 1 biodkg biodkg PROPN cana-2256 177 2 – – PUNCT cana-2256 177 3 ddi ddi PROPN cana-2256 177 4 : : PUNCT cana-2256 177 5 predicting predict VERB cana-2256 177 6 drug drug NOUN cana-2256 177 7 – – PUNCT cana-2256 177 8 drug drug NOUN cana-2256 177 9 interactions interaction NOUN cana-2256 177 10 based base VERB cana-2256 177 11 on on ADP cana-2256 177 12 drug drug NOUN cana-2256 177 13 knowledge knowledge NOUN cana-2256 177 14 graph graph NOUN cana-2256 177 15 fusing fuse VERB cana-2256 177 16 biochemical biochemical ADJ cana-2256 177 17 information information NOUN cana-2256 177 18 . . PUNCT cana-2256 178 1 briefings briefing NOUN cana-2256 178 2 in in ADP cana-2256 178 3 functional functional ADJ cana-2256 178 4 genomics genomic NOUN cana-2256 178 5 , , PUNCT cana-2256 178 6 21(3 21(3 NUM cana-2256 178 7 ) ) PUNCT cana-2256 178 8 , , PUNCT cana-2256 178 9 216 216 NUM cana-2256 178 10 - - SYM cana-2256 178 11 229 229 NUM cana-2256 178 12 . . PUNCT cana-2256 179 1 [ [ X cana-2256 179 2 12 12 NUM cana-2256 179 3 ] ] PUNCT cana-2256 179 4 bobir bobir NOUN cana-2256 179 5 , , PUNCT cana-2256 179 6 a.o a.o PROPN cana-2256 179 7 . . PROPN cana-2256 179 8 , , PUNCT cana-2256 179 9 askariy askariy ADJ cana-2256 179 10 , , PUNCT cana-2256 179 11 m. m. NOUN cana-2256 179 12 , , PUNCT cana-2256 179 13 otabek otabek PROPN cana-2256 179 14 , , PUNCT cana-2256 179 15 y.y y.y PROPN cana-2256 179 16 . . PROPN cana-2256 179 17 , , PUNCT cana-2256 179 18 nodir nodir PROPN cana-2256 179 19 , , PUNCT cana-2256 179 20 r.k r.k PROPN cana-2256 179 21 . . PROPN cana-2256 179 22 , , PUNCT cana-2256 179 23 rakhima rakhima PROPN cana-2256 179 24 , , PUNCT cana-2256 179 25 a. a. NOUN cana-2256 179 26 , , PUNCT cana-2256 179 27 zukhra zukhra PROPN cana-2256 179 28 , , PUNCT cana-2256 179 29 z.y z.y PROPN cana-2256 179 30 . . PROPN cana-2256 179 31 , , PUNCT cana-2256 179 32 sherzod sherzod PROPN cana-2256 179 33 , , PUNCT cana-2256 179 34 a.a a.a PROPN cana-2256 179 35 . . PROPN cana-2256 179 36 ( ( PUNCT cana-2256 179 37 2024 2024 NUM cana-2256 179 38 ) ) PUNCT cana-2256 179 39 . . PUNCT cana-2256 180 1 utilizing utilize VERB cana-2256 180 2 deep deep ADJ cana-2256 180 3 learning learning NOUN cana-2256 180 4 and and CCONJ cana-2256 180 5 the the DET cana-2256 180 6 internet internet NOUN cana-2256 180 7 of of ADP cana-2256 180 8 things thing NOUN cana-2256 180 9 to to PART cana-2256 180 10 monitor monitor VERB cana-2256 180 11 the the DET cana-2256 180 12 health health NOUN cana-2256 180 13 of of ADP cana-2256 180 14 aquatic aquatic ADJ cana-2256 180 15 ecosystems ecosystem NOUN cana-2256 180 16 to to PART cana-2256 180 17 conserve conserve VERB cana-2256 180 18 biodiversity biodiversity NOUN cana-2256 180 19 . . PUNCT cana-2256 181 1 natural natural ADJ cana-2256 181 2 and and CCONJ cana-2256 181 3 engineering engineering NOUN cana-2256 181 4 sciences science NOUN cana-2256 181 5 , , PUNCT cana-2256 181 6 9(1 9(1 NUM cana-2256 181 7 ) ) PUNCT cana-2256 181 8 , , PUNCT cana-2256 181 9 72 72 NUM cana-2256 181 10 - - SYM cana-2256 181 11 83 83 NUM cana-2256 181 12 . . PUNCT cana-2256 182 1 [ [ X cana-2256 182 2 13 13 NUM cana-2256 182 3 ] ] X cana-2256 182 4 al al PROPN cana-2256 182 5 - - PUNCT cana-2256 182 6 safi safi PROPN cana-2256 182 7 , , PUNCT cana-2256 182 8 mohammed mohammed PROPN cana-2256 182 9 g. g. PROPN cana-2256 182 10 s. s. PROPN cana-2256 182 11 " " PUNCT cana-2256 182 12 numerical numerical ADJ cana-2256 182 13 solutions solution NOUN cana-2256 182 14 for for ADP cana-2256 182 15 the the DET cana-2256 182 16 time time NOUN cana-2256 182 17 fractional fractional ADJ cana-2256 182 18 black black ADJ cana-2256 182 19 - - PUNCT cana-2256 182 20 scholes schole NOUN cana-2256 182 21 model model NOUN cana-2256 182 22 governing govern VERB cana-2256 182 23 european european ADJ cana-2256 182 24 option option NOUN cana-2256 182 25 by by ADP cana-2256 182 26 using use VERB cana-2256 182 27 double double ADJ cana-2256 182 28 integral integral ADJ cana-2256 182 29 transform transform NOUN cana-2256 182 30 decomposition decomposition NOUN cana-2256 182 31 method method NOUN cana-2256 182 32 . . PUNCT cana-2256 182 33 " " PUNCT cana-2256 182 34 results result NOUN cana-2256 182 35 in in ADP cana-2256 182 36 nonlinear nonlinear ADJ cana-2256 182 37 analysis analysis NOUN cana-2256 182 38 , , PUNCT cana-2256 182 39 vol vol NOUN cana-2256 182 40 . . PROPN cana-2256 183 1 7 7 NUM cana-2256 183 2 , , PUNCT cana-2256 183 3 no no INTJ cana-2256 183 4 . . NOUN cana-2256 183 5 2 2 NUM cana-2256 183 6 , , PUNCT cana-2256 183 7 2024 2024 NUM cana-2256 183 8 , , PUNCT cana-2256 183 9 pp pp ADJ cana-2256 183 10 . . PUNCT cana-2256 184 1 64–78 64–78 NUM cana-2256 184 2 . . PUNCT cana-2256 185 1 [ [ X cana-2256 185 2 14 14 NUM cana-2256 185 3 ] ] X cana-2256 185 4 s. s. PROPN cana-2256 185 5 neelima neelima PROPN cana-2256 185 6 , , PUNCT cana-2256 185 7 manoj manoj PROPN cana-2256 185 8 govindaraj govindaraj NOUN cana-2256 185 9 , , PUNCT cana-2256 185 10 dr.k dr.k ADV cana-2256 185 11 . . PUNCT cana-2256 186 1 subramani subramani PROPN cana-2256 186 2 , , PUNCT cana-2256 186 3 ahmed ahmed PROPN cana-2256 186 4 alkhayyat alkhayyat PROPN cana-2256 186 5 , , PUNCT cana-2256 186 6 & & CCONJ cana-2256 186 7 dr dr PROPN cana-2256 186 8 . . PROPN cana-2256 186 9 chippy chippy PROPN cana-2256 186 10 mohan mohan PROPN cana-2256 186 11 . . PUNCT cana-2256 187 1 ( ( PUNCT cana-2256 187 2 2024 2024 NUM cana-2256 187 3 ) ) PUNCT cana-2256 187 4 . . PUNCT cana-2256 188 1 factors factor NOUN cana-2256 188 2 influencing influence VERB cana-2256 188 3 data datum NOUN cana-2256 188 4 utilization utilization NOUN cana-2256 188 5 and and CCONJ cana-2256 188 6 performance performance NOUN cana-2256 188 7 of of ADP cana-2256 188 8 health health NOUN cana-2256 188 9 management management NOUN cana-2256 188 10 information information NOUN cana-2256 188 11 systems system NOUN cana-2256 188 12 : : PUNCT cana-2256 188 13 a a DET cana-2256 188 14 case case NOUN cana-2256 188 15 study study NOUN cana-2256 188 16 . . PUNCT cana-2256 189 1 indian indian PROPN cana-2256 189 2 journal journal PROPN cana-2256 189 3 of of ADP cana-2256 189 4 information information NOUN cana-2256 189 5 sources source NOUN cana-2256 189 6 and and CCONJ cana-2256 189 7 services service NOUN cana-2256 189 8 , , PUNCT cana-2256 189 9 14(2 14(2 NUM cana-2256 189 10 ) ) PUNCT cana-2256 189 11 , , PUNCT cana-2256 189 12 146–152 146–152 NUM cana-2256 189 13 . . PUNCT cana-2256 190 1 https://doi.org/10.51983/ijiss-2024.14.2.21 https://doi.org/10.51983/ijiss-2024.14.2.21 NOUN cana-2256 190 2 [ [ X cana-2256 190 3 15 15 NUM cana-2256 190 4 ] ] X cana-2256 190 5 vo vo NOUN cana-2256 190 6 , , PUNCT cana-2256 190 7 t. t. PROPN cana-2256 190 8 h. h. PROPN cana-2256 190 9 , , PUNCT cana-2256 190 10 nguyen nguyen PROPN cana-2256 190 11 , , PUNCT cana-2256 190 12 n. n. PROPN cana-2256 190 13 t. t. PROPN cana-2256 190 14 k. k. PROPN cana-2256 190 15 , , PUNCT cana-2256 190 16 & & CCONJ cana-2256 190 17 le le X cana-2256 190 18 , , PUNCT cana-2256 190 19 n. n. PROPN cana-2256 190 20 q. q. PROPN cana-2256 190 21 k. k. PROPN cana-2256 190 22 ( ( PUNCT cana-2256 190 23 2023 2023 NUM cana-2256 190 24 ) ) PUNCT cana-2256 190 25 . . PUNCT cana-2256 191 1 improved improve VERB cana-2256 191 2 prediction prediction NOUN cana-2256 191 3 of of ADP cana-2256 191 4 drug drug NOUN cana-2256 191 5 - - PUNCT cana-2256 191 6 drug drug NOUN cana-2256 191 7 interactions interaction NOUN cana-2256 191 8 using use VERB cana-2256 191 9 ensemble ensemble ADJ cana-2256 191 10 deep deep ADJ cana-2256 191 11 neural neural ADJ cana-2256 191 12 networks network NOUN cana-2256 191 13 . . PUNCT cana-2256 192 1 medicine medicine NOUN cana-2256 192 2 in in ADP cana-2256 192 3 drug drug NOUN cana-2256 192 4 discovery discovery NOUN cana-2256 192 5 , , PUNCT cana-2256 192 6 17 17 NUM cana-2256 192 7 , , PUNCT cana-2256 192 8 100149 100149 NUM cana-2256 192 9 . . PUNCT cana-2256 193 1 [ [ X cana-2256 193 2 16 16 NUM cana-2256 193 3 ] ] PUNCT cana-2256 193 4 dr.r dr.r NOUN cana-2256 193 5 . . PUNCT cana-2256 194 1 mohandas mohandas PROPN cana-2256 194 2 , , PUNCT cana-2256 194 3 dr.s dr.s PROPN cana-2256 194 4 . . PUNCT cana-2256 195 1 veena veena PROPN cana-2256 195 2 , , PUNCT cana-2256 195 3 g. g. PROPN cana-2256 195 4 kirubasri kirubasri PROPN cana-2256 195 5 , , PUNCT cana-2256 195 6 i. i. PROPN cana-2256 195 7 thusnavis thusnavis PROPN cana-2256 195 8 bella bella PROPN cana-2256 195 9 mary mary PROPN cana-2256 195 10 , , PUNCT cana-2256 195 11 & & CCONJ cana-2256 195 12 dr.r dr.r NOUN cana-2256 195 13 . . PUNCT cana-2256 196 1 udayakumar udayakumar PROPN cana-2256 196 2 . . PUNCT cana-2256 197 1 ( ( PUNCT cana-2256 197 2 2024 2024 NUM cana-2256 197 3 ) ) PUNCT cana-2256 197 4 . . PUNCT cana-2256 198 1 federated federate VERB cana-2256 198 2 learning learning NOUN cana-2256 198 3 with with ADP cana-2256 198 4 homomorphic homomorphic ADJ cana-2256 198 5 encryption encryption NOUN cana-2256 198 6 for for ADP cana-2256 198 7 ensuring ensure VERB cana-2256 198 8 privacy privacy NOUN cana-2256 198 9 in in ADP cana-2256 198 10 medical medical ADJ cana-2256 198 11 data datum NOUN cana-2256 198 12 . . PUNCT cana-2256 199 1 indian indian PROPN cana-2256 199 2 journal journal PROPN cana-2256 199 3 of of ADP cana-2256 199 4 information information NOUN cana-2256 199 5 sources source NOUN cana-2256 199 6 and and CCONJ cana-2256 199 7 services service NOUN cana-2256 199 8 , , PUNCT cana-2256 199 9 14(2 14(2 NUM cana-2256 199 10 ) ) PUNCT cana-2256 199 11 , , PUNCT cana-2256 199 12 17–23 17–23 NUM cana-2256 199 13 . . PUNCT cana-2256 200 1 https://doi.org/10.51983/ijiss-2024.14.2.03 https://doi.org/10.51983/ijiss-2024.14.2.03 PROPN cana-2256 200 2 [ [ X cana-2256 200 3 17 17 NUM cana-2256 200 4 ] ] SYM cana-2256 200 5 schwarz schwarz PROPN cana-2256 200 6 , , PUNCT cana-2256 200 7 k. k. PROPN cana-2256 200 8 , , PUNCT cana-2256 200 9 allam allam PROPN cana-2256 200 10 , , PUNCT cana-2256 200 11 a. a. PROPN cana-2256 200 12 , , PUNCT cana-2256 200 13 perez perez PROPN cana-2256 200 14 gonzalez gonzalez PROPN cana-2256 200 15 , , PUNCT cana-2256 200 16 n. n. PROPN cana-2256 200 17 a. a. PROPN cana-2256 200 18 , , PUNCT cana-2256 200 19 & & CCONJ cana-2256 200 20 krauthammer krauthammer PROPN cana-2256 200 21 , , PUNCT cana-2256 200 22 m. m. NOUN cana-2256 200 23 ( ( PUNCT cana-2256 200 24 2021 2021 NUM cana-2256 200 25 ) ) PUNCT cana-2256 200 26 . . PUNCT cana-2256 201 1 attentionddi attentionddi ADJ cana-2256 201 2 : : PUNCT cana-2256 202 1 siamese siamese ADJ cana-2256 202 2 attentionbased attentionbase VERB cana-2256 202 3 deep deep ADJ cana-2256 202 4 learning learning NOUN cana-2256 202 5 method method NOUN cana-2256 202 6 for for ADP cana-2256 202 7 drug drug NOUN cana-2256 202 8 – – PUNCT cana-2256 202 9 drug drug NOUN cana-2256 202 10 interaction interaction NOUN cana-2256 202 11 predictions prediction NOUN cana-2256 202 12 . . PUNCT cana-2256 203 1 bmc bmc ADJ cana-2256 203 2 bioinformatics bioinformatics PROPN cana-2256 203 3 , , PUNCT cana-2256 203 4 22(1 22(1 NUM cana-2256 203 5 ) ) PUNCT cana-2256 203 6 , , PUNCT cana-2256 203 7 412 412 NUM cana-2256 203 8 . . PUNCT cana-2256 204 1 [ [ X cana-2256 204 2 18 18 NUM cana-2256 204 3 ] ] PUNCT cana-2256 204 4 veera veera NOUN cana-2256 204 5 boopathy boopathy PROPN cana-2256 204 6 , , PUNCT cana-2256 204 7 e. e. PROPN cana-2256 204 8 , , PUNCT cana-2256 204 9 peer peer NOUN cana-2256 204 10 mohamed mohamed PROPN cana-2256 204 11 appa appa PROPN cana-2256 204 12 , , PUNCT cana-2256 204 13 m.a.y m.a.y NOUN cana-2256 204 14 . . PUNCT cana-2256 204 15 , , PUNCT cana-2256 204 16 pragadeswaran pragadeswaran PROPN cana-2256 204 17 , , PUNCT cana-2256 204 18 s. s. PROPN cana-2256 204 19 , , PUNCT cana-2256 204 20 karthick karthick PROPN cana-2256 204 21 raja raja PROPN cana-2256 204 22 , , PUNCT cana-2256 204 23 d. d. PROPN cana-2256 204 24 , , PUNCT cana-2256 204 25 gowtham gowtham PROPN cana-2256 204 26 , , PUNCT cana-2256 204 27 m. m. NOUN cana-2256 204 28 , , PUNCT cana-2256 204 29 kishore kishore PROPN cana-2256 204 30 , , PUNCT cana-2256 204 31 r. r. PROPN cana-2256 204 32 , , PUNCT cana-2256 204 33 vimalraj vimalraj VERB cana-2256 204 34 , , PUNCT cana-2256 204 35 p. p. NOUN cana-2256 204 36 , , PUNCT cana-2256 204 37 & & CCONJ cana-2256 204 38 vissnuvardhan vissnuvardhan PROPN cana-2256 204 39 , , PUNCT cana-2256 204 40 k. k. PROPN cana-2256 204 41 ( ( PUNCT cana-2256 204 42 2024 2024 NUM cana-2256 204 43 ) ) PUNCT cana-2256 204 44 . . PUNCT cana-2256 205 1 a a DET cana-2256 205 2 data datum NOUN cana-2256 205 3 driven drive VERB cana-2256 205 4 approach approach NOUN cana-2256 205 5 through through ADP cana-2256 205 6 iomt iomt PROPN cana-2256 205 7 based base VERB cana-2256 205 8 patient patient ADJ cana-2256 205 9 healthcare healthcare NOUN cana-2256 205 10 monitoring monitoring NOUN cana-2256 205 11 system system NOUN cana-2256 205 12 . . PUNCT cana-2256 206 1 archives archive NOUN cana-2256 206 2 for for ADP cana-2256 206 3 technical technical ADJ cana-2256 206 4 sciences science NOUN cana-2256 206 5 , , PUNCT cana-2256 206 6 2(31 2(31 NUM cana-2256 206 7 ) ) PUNCT cana-2256 206 8 , , PUNCT cana-2256 206 9 9 9 NUM cana-2256 206 10 - - SYM cana-2256 206 11 15 15 NUM cana-2256 206 12 . . PUNCT cana-2256 207 1 [ [ X cana-2256 207 2 19 19 NUM cana-2256 207 3 ] ] SYM cana-2256 207 4 deng deng PROPN cana-2256 207 5 , , PUNCT cana-2256 207 6 y. y. PROPN cana-2256 207 7 , , PUNCT cana-2256 207 8 qiu qiu PROPN cana-2256 207 9 , , PUNCT cana-2256 207 10 y. y. PROPN cana-2256 207 11 , , PUNCT cana-2256 207 12 xu xu PROPN cana-2256 207 13 , , PUNCT cana-2256 207 14 x. x. PROPN cana-2256 207 15 , , PUNCT cana-2256 207 16 liu liu PROPN cana-2256 207 17 , , PUNCT cana-2256 207 18 s. s. PROPN cana-2256 207 19 , , PUNCT cana-2256 207 20 zhang zhang PROPN cana-2256 207 21 , , PUNCT cana-2256 207 22 z. z. PROPN cana-2256 207 23 , , PUNCT cana-2256 207 24 zhu zhu PROPN cana-2256 207 25 , , PUNCT cana-2256 207 26 s. s. PROPN cana-2256 207 27 , , PUNCT cana-2256 207 28 & & CCONJ cana-2256 207 29 zhang zhang PROPN cana-2256 207 30 , , PUNCT cana-2256 207 31 w. w. PROPN cana-2256 207 32 ( ( PUNCT cana-2256 207 33 2022 2022 NUM cana-2256 207 34 ) ) PUNCT cana-2256 207 35 . . PUNCT cana-2256 208 1 meta meta ADJ cana-2256 208 2 - - PUNCT cana-2256 208 3 ddie ddie NOUN cana-2256 208 4 : : PUNCT cana-2256 208 5 predicting predict VERB cana-2256 208 6 drug drug NOUN cana-2256 208 7 – – PUNCT cana-2256 208 8 drug drug NOUN cana-2256 208 9 interaction interaction NOUN cana-2256 208 10 events event NOUN cana-2256 208 11 with with ADP cana-2256 208 12 few few ADJ cana-2256 208 13 - - PUNCT cana-2256 208 14 shot shot NOUN cana-2256 208 15 learning learning NOUN cana-2256 208 16 . . PUNCT cana-2256 209 1 briefings briefing NOUN cana-2256 209 2 in in ADP cana-2256 209 3 bioinformatics bioinformatics NOUN cana-2256 209 4 , , PUNCT cana-2256 209 5 23(1 23(1 NOUN cana-2256 209 6 ) ) PUNCT cana-2256 209 7 , , PUNCT cana-2256 209 8 bbab514 bbab514 PROPN cana-2256 209 9 . . PUNCT cana-2256 210 1 [ [ X cana-2256 210 2 20 20 NUM cana-2256 210 3 ] ] X cana-2256 210 4 zhu zhu PROPN cana-2256 210 5 , , PUNCT cana-2256 210 6 j. j. PROPN cana-2256 210 7 , , PUNCT cana-2256 210 8 che che PROPN cana-2256 210 9 , , PUNCT cana-2256 210 10 c. c. PROPN cana-2256 210 11 , , PUNCT cana-2256 210 12 jiang jiang PROPN cana-2256 210 13 , , PUNCT cana-2256 210 14 h. h. PROPN cana-2256 210 15 , , PUNCT cana-2256 210 16 xu xu PROPN cana-2256 210 17 , , PUNCT cana-2256 210 18 j. j. PROPN cana-2256 210 19 , , PUNCT cana-2256 210 20 yin yin PROPN cana-2256 210 21 , , PUNCT cana-2256 210 22 j. j. PROPN cana-2256 210 23 , , PUNCT cana-2256 210 24 & & CCONJ cana-2256 210 25 zhong zhong PROPN cana-2256 210 26 , , PUNCT cana-2256 210 27 z. z. PROPN cana-2256 210 28 ( ( PUNCT cana-2256 210 29 2024 2024 NUM cana-2256 210 30 ) ) PUNCT cana-2256 210 31 . . PUNCT cana-2256 211 1 ssf ssf NOUN cana-2256 211 2 - - PUNCT cana-2256 211 3 ddi ddi PROPN cana-2256 211 4 : : PUNCT cana-2256 211 5 a a DET cana-2256 211 6 deep deep ADJ cana-2256 211 7 learning learning NOUN cana-2256 211 8 method method NOUN cana-2256 211 9 utilizing utilize VERB cana-2256 211 10 drug drug NOUN cana-2256 211 11 sequence sequence NOUN cana-2256 211 12 and and CCONJ cana-2256 211 13 substructure substructure NOUN cana-2256 211 14 features feature NOUN cana-2256 211 15 for for ADP cana-2256 211 16 drug drug NOUN cana-2256 211 17 – – PUNCT cana-2256 211 18 drug drug NOUN cana-2256 211 19 interaction interaction NOUN cana-2256 211 20 prediction prediction NOUN cana-2256 211 21 . . PUNCT cana-2256 212 1 bmc bmc ADJ cana-2256 212 2 bioinformatics bioinformatics PROPN cana-2256 212 3 , , PUNCT cana-2256 212 4 25(1 25(1 NUM cana-2256 212 5 ) ) PUNCT cana-2256 212 6 , , PUNCT cana-2256 212 7 39 39 NUM cana-2256 212 8 . . PUNCT cana-2256 213 1 [ [ X cana-2256 213 2 21 21 NUM cana-2256 213 3 ] ] X cana-2256 213 4 salman salman PROPN cana-2256 213 5 , , PUNCT cana-2256 213 6 m. m. NOUN cana-2256 213 7 , , PUNCT cana-2256 213 8 munawar munawar PROPN cana-2256 213 9 , , PUNCT cana-2256 213 10 h. h. PROPN cana-2256 213 11 s. s. PROPN cana-2256 213 12 , , PUNCT cana-2256 213 13 latif latif PROPN cana-2256 213 14 , , PUNCT cana-2256 213 15 k. k. PROPN cana-2256 213 16 , , PUNCT cana-2256 213 17 akram akram PROPN cana-2256 213 18 , , PUNCT cana-2256 213 19 m. m. PROPN cana-2256 213 20 w. w. PROPN cana-2256 213 21 , , PUNCT cana-2256 213 22 khan khan PROPN cana-2256 213 23 , , PUNCT cana-2256 213 24 s. s. PROPN cana-2256 213 25 i. i. PROPN cana-2256 213 26 , , PUNCT cana-2256 213 27 & & CCONJ cana-2256 213 28 ullah ullah PROPN cana-2256 213 29 , , PUNCT cana-2256 213 30 f. f. PROPN cana-2256 213 31 ( ( PUNCT cana-2256 213 32 2022 2022 NUM cana-2256 213 33 ) ) PUNCT cana-2256 213 34 . . PUNCT cana-2256 214 1 big big ADJ cana-2256 214 2 data datum NOUN cana-2256 214 3 management management NOUN cana-2256 214 4 in in ADP cana-2256 214 5 drug drug NOUN cana-2256 214 6 – – PUNCT cana-2256 214 7 drug drug NOUN cana-2256 214 8 interaction interaction NOUN cana-2256 214 9 : : PUNCT cana-2256 214 10 a a DET cana-2256 214 11 modern modern ADJ cana-2256 214 12 deep deep ADJ cana-2256 214 13 learning learning NOUN cana-2256 214 14 approach approach NOUN cana-2256 214 15 for for ADP cana-2256 214 16 smart smart ADJ cana-2256 214 17 healthcare healthcare NOUN cana-2256 214 18 . . PUNCT cana-2256 215 1 big big ADJ cana-2256 215 2 data datum NOUN cana-2256 215 3 and and CCONJ cana-2256 215 4 cognitive cognitive ADJ cana-2256 215 5 computing computing NOUN cana-2256 215 6 , , PUNCT cana-2256 215 7 6(1 6(1 NUM cana-2256 215 8 ) ) PUNCT cana-2256 215 9 , , PUNCT cana-2256 215 10 30 30 NUM cana-2256 215 11 . . PUNCT cana-2256 216 1 [ [ X cana-2256 216 2 22 22 NUM cana-2256 216 3 ] ] X cana-2256 216 4 zhang zhang PROPN cana-2256 216 5 , , PUNCT cana-2256 216 6 c. c. PROPN cana-2256 216 7 , , PUNCT cana-2256 216 8 & & CCONJ cana-2256 216 9 zang zang PROPN cana-2256 216 10 , , PUNCT cana-2256 216 11 t. t. PROPN cana-2256 216 12 ( ( PUNCT cana-2256 216 13 2020 2020 NUM cana-2256 216 14 , , PUNCT cana-2256 216 15 december december PROPN cana-2256 216 16 ) ) PUNCT cana-2256 216 17 . . PUNCT cana-2256 217 1 cnn cnn PROPN cana-2256 217 2 - - PUNCT cana-2256 217 3 ddi ddi PROPN cana-2256 217 4 : : PUNCT cana-2256 217 5 a a DET cana-2256 217 6 novel novel ADJ cana-2256 217 7 deep deep ADJ cana-2256 217 8 learning learning NOUN cana-2256 217 9 method method NOUN cana-2256 217 10 for for ADP cana-2256 217 11 predicting predict VERB cana-2256 217 12 drug drug NOUN cana-2256 217 13 - - PUNCT cana-2256 217 14 drug drug NOUN cana-2256 217 15 interactions interaction NOUN cana-2256 217 16 . . PUNCT cana-2256 218 1 in in ADP cana-2256 218 2 2020 2020 NUM cana-2256 218 3 ieee ieee PROPN cana-2256 218 4 international international ADJ cana-2256 218 5 conference conference NOUN cana-2256 218 6 on on ADP cana-2256 218 7 bioinformatics bioinformatics NOUN cana-2256 218 8 and and CCONJ cana-2256 218 9 biomedicine biomedicine NOUN cana-2256 218 10 ( ( PUNCT cana-2256 218 11 bibm bibm NOUN cana-2256 218 12 ) ) PUNCT cana-2256 218 13 ( ( PUNCT cana-2256 218 14 pp pp ADJ cana-2256 218 15 . . PUNCT cana-2256 218 16 1708 1708 NUM cana-2256 218 17 - - SYM cana-2256 218 18 1713 1713 NUM cana-2256 218 19 ) ) PUNCT cana-2256 218 20 . . PUNCT cana-2256 219 1 ieee ieee NOUN cana-2256 219 2 . . PUNCT cana-2256 220 1 [ [ X cana-2256 220 2 23 23 NUM cana-2256 220 3 ] ] X cana-2256 220 4 luo luo PROPN cana-2256 220 5 , , PUNCT cana-2256 220 6 q. q. PROPN cana-2256 220 7 , , PUNCT cana-2256 220 8 mo mo PROPN cana-2256 220 9 , , PUNCT cana-2256 220 10 s. s. PROPN cana-2256 220 11 , , PUNCT cana-2256 220 12 xue xue PROPN cana-2256 220 13 , , PUNCT cana-2256 220 14 y. y. PROPN cana-2256 220 15 , , PUNCT cana-2256 220 16 zhang zhang PROPN cana-2256 220 17 , , PUNCT cana-2256 220 18 x. x. PROPN cana-2256 220 19 , , PUNCT cana-2256 220 20 gu gu PROPN cana-2256 220 21 , , PUNCT cana-2256 220 22 y. y. PROPN cana-2256 220 23 , , PUNCT cana-2256 220 24 wu wu PROPN cana-2256 220 25 , , PUNCT cana-2256 220 26 l. l. PROPN cana-2256 220 27 , , PUNCT cana-2256 220 28 & & CCONJ cana-2256 220 29 hu hu PROPN cana-2256 220 30 , , PUNCT cana-2256 220 31 y. y. PROPN cana-2256 220 32 ( ( PUNCT cana-2256 220 33 2021 2021 NUM cana-2256 220 34 ) ) PUNCT cana-2256 220 35 . . PUNCT cana-2256 221 1 novel novel ADJ cana-2256 221 2 deep deep ADJ cana-2256 221 3 learning learning NOUN cana-2256 221 4 - - PUNCT cana-2256 221 5 based base VERB cana-2256 221 6 transcriptome transcriptome ADJ cana-2256 221 7 data datum NOUN cana-2256 221 8 analysis analysis NOUN cana-2256 221 9 for for ADP cana-2256 221 10 drug drug NOUN cana-2256 221 11 - - PUNCT cana-2256 221 12 drug drug NOUN cana-2256 221 13 interaction interaction NOUN cana-2256 221 14 prediction prediction NOUN cana-2256 221 15 with with ADP cana-2256 221 16 an an DET cana-2256 221 17 application application NOUN cana-2256 221 18 in in ADP cana-2256 221 19 diabetes diabetes NOUN cana-2256 221 20 . . PUNCT cana-2256 222 1 bmc bmc ADJ cana-2256 222 2 bioinformatics bioinformatics PROPN cana-2256 222 3 , , PUNCT cana-2256 222 4 22 22 NUM cana-2256 222 5 , , PUNCT cana-2256 222 6 1 1 NUM cana-2256 222 7 - - SYM cana-2256 222 8 15 15 NUM cana-2256 222 9 . . PUNCT cana-2256 223 1 [ [ X cana-2256 223 2 24 24 NUM cana-2256 223 3 ] ] X cana-2256 223 4 liu liu PROPN cana-2256 223 5 , , PUNCT cana-2256 223 6 s. s. PROPN cana-2256 223 7 , , PUNCT cana-2256 223 8 zhang zhang PROPN cana-2256 223 9 , , PUNCT cana-2256 223 10 y. y. PROPN cana-2256 223 11 , , PUNCT cana-2256 223 12 cui cui PROPN cana-2256 223 13 , , PUNCT cana-2256 223 14 y. y. PROPN cana-2256 223 15 , , PUNCT cana-2256 223 16 qiu qiu PROPN cana-2256 223 17 , , PUNCT cana-2256 223 18 y. y. PROPN cana-2256 223 19 , , PUNCT cana-2256 223 20 deng deng PROPN cana-2256 223 21 , , PUNCT cana-2256 223 22 y. y. PROPN cana-2256 223 23 , , PUNCT cana-2256 223 24 zhang zhang PROPN cana-2256 223 25 , , PUNCT cana-2256 223 26 z. z. PROPN cana-2256 223 27 , , PUNCT cana-2256 223 28 & & CCONJ cana-2256 223 29 zhang zhang PROPN cana-2256 223 30 , , PUNCT cana-2256 223 31 w. w. PROPN cana-2256 223 32 ( ( PUNCT cana-2256 223 33 2022 2022 NUM cana-2256 223 34 ) ) PUNCT cana-2256 223 35 . . PUNCT cana-2256 224 1 enhancing enhance VERB cana-2256 224 2 drug drug NOUN cana-2256 224 3 - - PUNCT cana-2256 224 4 drug drug NOUN cana-2256 224 5 interaction interaction NOUN cana-2256 224 6 prediction prediction NOUN cana-2256 224 7 using use VERB cana-2256 224 8 deep deep ADJ cana-2256 224 9 attention attention NOUN cana-2256 224 10 neural neural ADJ cana-2256 224 11 networks network NOUN cana-2256 224 12 . . PUNCT cana-2256 225 1 ieee ieee PROPN cana-2256 225 2 / / SYM cana-2256 225 3 acm acm PROPN cana-2256 225 4 transactions transaction NOUN cana-2256 225 5 on on ADP cana-2256 225 6 computational computational ADJ cana-2256 225 7 biology biology NOUN cana-2256 225 8 and and CCONJ cana-2256 225 9 bioinformatics bioinformatics NOUN cana-2256 225 10 , , PUNCT cana-2256 225 11 20(2 20(2 NUM cana-2256 225 12 ) ) PUNCT cana-2256 225 13 , , PUNCT cana-2256 225 14 976 976 NUM cana-2256 225 15 - - SYM cana-2256 225 16 985 985 NUM cana-2256 225 17 . . PUNCT cana-2256 226 1 [ [ X cana-2256 226 2 25 25 NUM cana-2256 226 3 ] ] X cana-2256 226 4 rohani rohani PROPN cana-2256 226 5 , , PUNCT cana-2256 226 6 n. n. NOUN cana-2256 226 7 , , PUNCT cana-2256 226 8 & & CCONJ cana-2256 226 9 eslahchi eslahchi PROPN cana-2256 226 10 , , PUNCT cana-2256 226 11 c. c. PROPN cana-2256 226 12 ( ( PUNCT cana-2256 226 13 2019 2019 NUM cana-2256 226 14 ) ) PUNCT cana-2256 226 15 . . PUNCT cana-2256 227 1 drug drug NOUN cana-2256 227 2 - - PUNCT cana-2256 227 3 drug drug NOUN cana-2256 227 4 interaction interaction NOUN cana-2256 227 5 predicting predict VERB cana-2256 227 6 by by ADP cana-2256 227 7 neural neural ADJ cana-2256 227 8 network network NOUN cana-2256 227 9 using use VERB cana-2256 227 10 integrated integrated ADJ cana-2256 227 11 similarity similarity NOUN cana-2256 227 12 . . PUNCT cana-2256 228 1 scientific scientific ADJ cana-2256 228 2 reports report NOUN cana-2256 228 3 , , PUNCT cana-2256 228 4 9(1 9(1 NUM cana-2256 228 5 ) ) PUNCT cana-2256 228 6 , , PUNCT cana-2256 228 7 13645 13645 NUM cana-2256 228 8 . . PUNCT cana-2256 229 1 https://doi.org/10.51983/ijiss-2024.14.2.21 https://doi.org/10.51983/ijiss-2024.14.2.21 ADJ cana-2256 229 2 https://doi.org/10.51983/ijiss-2024.14.2.03 https://doi.org/10.51983/ijiss-2024.14.2.03 ADJ