{"id":"https://openalex.org/W4388406455","doi":"https://doi.org/10.1109/kse59128.2023.10299408","title":"Drug-Disease Association Prediction Through Multiple Integrated Similarities and Deep Learning","display_name":"Drug-Disease Association Prediction Through Multiple Integrated Similarities and Deep Learning","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4388406455","doi":"https://doi.org/10.1109/kse59128.2023.10299408"},"language":"en","primary_location":{"id":"doi:10.1109/kse59128.2023.10299408","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/kse59128.2023.10299408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101402516","display_name":"Van Tinh Nguyen","orcid":"https://orcid.org/0000-0002-2852-2594"},"institutions":[{"id":"https://openalex.org/I45756140","display_name":"Hanoi University of Industry","ror":"https://ror.org/05hhz4s12","country_code":"VN","type":"education","lineage":["https://openalex.org/I45756140"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Van Tinh Nguyen","raw_affiliation_strings":["Hanoi University of Industry,Hanoi,Vietnam","Hanoi University of Industry, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Industry,Hanoi,Vietnam","institution_ids":["https://openalex.org/I45756140"]},{"raw_affiliation_string":"Hanoi University of Industry, Hanoi, Vietnam","institution_ids":["https://openalex.org/I45756140"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Van Thien Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I45756140","display_name":"Hanoi University of Industry","ror":"https://ror.org/05hhz4s12","country_code":"VN","type":"education","lineage":["https://openalex.org/I45756140"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van Thien Nguyen","raw_affiliation_strings":["Hanoi University of Industry,Hanoi,Vietnam","Hanoi University of Industry, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Industry,Hanoi,Vietnam","institution_ids":["https://openalex.org/I45756140"]},{"raw_affiliation_string":"Hanoi University of Industry, Hanoi, Vietnam","institution_ids":["https://openalex.org/I45756140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109653097","display_name":"Thi Thanh Van Thai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155035","display_name":"Academy of Cryptography Techniques","ror":"https://ror.org/05nfbnp91","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210155035"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi Thanh Van Thai","raw_affiliation_strings":["Academy of Cryptography Techniques,Hanoi,Vietnam","Academy of Cryptography Techniques, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Academy of Cryptography Techniques,Hanoi,Vietnam","institution_ids":["https://openalex.org/I4210155035"]},{"raw_affiliation_string":"Academy of Cryptography Techniques, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210155035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109653098","display_name":"Thi Thanh Hoa Duong","orcid":null},"institutions":[{"id":"https://openalex.org/I45756140","display_name":"Hanoi University of Industry","ror":"https://ror.org/05hhz4s12","country_code":"VN","type":"education","lineage":["https://openalex.org/I45756140"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi Thanh Hoa Duong","raw_affiliation_strings":["Hanoi University of Industry,Hanoi,Vietnam","Hanoi University of Industry, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Industry,Hanoi,Vietnam","institution_ids":["https://openalex.org/I45756140"]},{"raw_affiliation_string":"Hanoi University of Industry, Hanoi, Vietnam","institution_ids":["https://openalex.org/I45756140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069075456","display_name":"Dang Hung Tran","orcid":"https://orcid.org/0000-0001-7691-6486"},"institutions":[{"id":"https://openalex.org/I135822937","display_name":"Hanoi National University of Education","ror":"https://ror.org/0360g3z42","country_code":"VN","type":"education","lineage":["https://openalex.org/I135822937"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dang Hung Tran","raw_affiliation_strings":["Hanoi National University of Education,Hanoi,Vietnam","Hanoi National University of Education, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi National University of Education,Hanoi,Vietnam","institution_ids":["https://openalex.org/I135822937"]},{"raw_affiliation_string":"Hanoi National University of Education, Hanoi, Vietnam","institution_ids":["https://openalex.org/I135822937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101402516"],"corresponding_institution_ids":["https://openalex.org/I45756140"],"apc_list":null,"apc_paid":null,"fwci":0.3909,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66424399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7763082981109619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7067034244537354},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6757574677467346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6451360583305359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.59504634141922},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5119737386703491},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5018353462219238},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4709378480911255},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4601574242115021},{"id":"https://openalex.org/keywords/drug-target","display_name":"Drug target","score":0.42773494124412537},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4258703291416168},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4239428639411926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4037909209728241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14684033393859863},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13441455364227295}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7763082981109619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067034244537354},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6757574677467346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6451360583305359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.59504634141922},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5119737386703491},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5018353462219238},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4709378480911255},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4601574242115021},{"id":"https://openalex.org/C2989108626","wikidata":"https://www.wikidata.org/wiki/Q904407","display_name":"Drug target","level":2,"score":0.42773494124412537},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4258703291416168},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4239428639411926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4037909209728241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14684033393859863},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13441455364227295},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse59128.2023.10299408","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/kse59128.2023.10299408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1966716734","https://openalex.org/W1967924133","https://openalex.org/W1975147762","https://openalex.org/W1994127362","https://openalex.org/W2113072832","https://openalex.org/W2148797284","https://openalex.org/W2154654747","https://openalex.org/W2155157373","https://openalex.org/W2170146596","https://openalex.org/W2183717576","https://openalex.org/W2343107734","https://openalex.org/W2805643613","https://openalex.org/W2809156537","https://openalex.org/W2833405265","https://openalex.org/W2896002881","https://openalex.org/W2940524715","https://openalex.org/W2961565435","https://openalex.org/W3005970824","https://openalex.org/W3009246021","https://openalex.org/W3020929333","https://openalex.org/W3124892619","https://openalex.org/W3157350212","https://openalex.org/W3194280519","https://openalex.org/W3209134778","https://openalex.org/W3210463890","https://openalex.org/W4206547282","https://openalex.org/W4307498140","https://openalex.org/W6686420396"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2388928357","https://openalex.org/W2166090428","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W4386790794"],"abstract_inverted_index":{"The":[0],"new":[1,29],"drugs'":[2],"development":[3],"is":[4],"a":[5,28,76,92,143],"time-consuming,":[6],"laborious,":[7],"and":[8,40,57,109,114,134,151],"costly":[9],"process.":[10],"Consequently,":[11],"the":[12,85,106,124],"need":[13],"for":[14,31,146],"computational":[15],"methods":[16,122],"to":[17,68,83,96,119,141],"predict":[18,97],"drug-disease":[19,33,98],"associations":[20,34,148],"has":[21],"become":[22],"increasingly":[23],"evident.":[24],"This":[25],"paper":[26],"presents":[27],"approach":[30,128],"predicting":[32,147],"by":[35],"using":[36,123],"multiple":[37],"integrated":[38,70],"similarities":[39],"deep":[41,93],"learning":[42,94],"techniques.":[43],"Specifically,":[44],"we":[45,74,90],"combine":[46],"Disease":[47],"semantic":[48],"similarity":[49,56,61,71],"with":[50,62],"disease":[51],"Gaussian":[52,64],"interaction":[53,65],"profile":[54,66],"kernel":[55],"Drug":[58],"chemical":[59],"structure":[60],"drug":[63],"kernel,":[67],"construct":[69],"measures.":[72],"Then":[73],"used":[75],"Weighted":[77],"K-nearest":[78],"known":[79],"neighbors":[80],"(WKNKN)":[81],"algorithm":[82],"solve":[84],"sparsity":[86],"data":[87],"problem.":[88],"Subsequently,":[89],"utilized":[91],"technique":[95],"associations.":[99],"Our":[100],"method":[101,139],"demonstrates":[102],"remarkable":[103],"performance,":[104],"achieving":[105],"highest":[107],"AUC":[108,133],"AUPR":[110,135],"values":[111],"of":[112],"0.9538":[113],"0.6607,":[115],"respectively.":[116],"When":[117],"compared":[118],"other":[120],"relevant":[121],"same":[125],"dataset,":[126],"our":[127,138],"outperforms":[129],"them":[130],"in":[131],"both":[132],"metrics.":[136],"Thus,":[137],"proves":[140],"be":[142],"valuable":[144],"tool":[145],"between":[149],"drugs":[150],"diseases.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
