{"id":"https://openalex.org/W4368356123","doi":"https://doi.org/10.1109/tnnls.2023.3266490","title":"Medical-Knowledge-Based Graph Neural Network for Medication Combination Prediction","display_name":"Medical-Knowledge-Based Graph Neural Network for Medication Combination Prediction","publication_year":2023,"publication_date":"2023-05-04","ids":{"openalex":"https://openalex.org/W4368356123","doi":"https://doi.org/10.1109/tnnls.2023.3266490","pmid":"https://pubmed.ncbi.nlm.nih.gov/37141055"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3266490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3266490","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5086236078","display_name":"Chao Gao","orcid":"https://orcid.org/0000-0002-5865-2285"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Gao","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-5865-2285","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076817799","display_name":"Shu Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Yin","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065056140","display_name":"Haiqiang Wang","orcid":"https://orcid.org/0000-0002-3523-1664"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqiang Wang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422377","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-8182-2852"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-8182-2852","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059828885","display_name":"Zhanwei Du","orcid":"https://orcid.org/0000-0002-2020-767X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhanwei Du","raw_affiliation_strings":["School of Public Health, Hong Kong University, Pok Fu Lam, Hong Kong","School of Public Health, Hong Kong University, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2020-767X","affiliations":[{"raw_affiliation_string":"School of Public Health, Hong Kong University, Pok Fu Lam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"School of Public Health, Hong Kong University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-2924-946X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5271,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96665611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"35","issue":"10","first_page":"13246","last_page":"13257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9771999716758728,"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":0.9771999716758728,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9696000218391418,"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"}},{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.920799970626831,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.7027854919433594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070543527603149},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5600235462188721},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5440816283226013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5438531041145325},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.511879563331604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5070960521697998},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49637848138809204},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.4643590450286865},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45486846566200256},{"id":"https://openalex.org/keywords/medical-prescription","display_name":"Medical prescription","score":0.45139193534851074},{"id":"https://openalex.org/keywords/medical-knowledge","display_name":"Medical knowledge","score":0.43087029457092285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3451042175292969},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23239997029304504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1490442454814911}],"concepts":[{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7027854919433594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070543527603149},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5600235462188721},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5440816283226013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5438531041145325},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.511879563331604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5070960521697998},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49637848138809204},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.4643590450286865},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45486846566200256},{"id":"https://openalex.org/C2426938","wikidata":"https://www.wikidata.org/wiki/Q3355478","display_name":"Medical prescription","level":2,"score":0.45139193534851074},{"id":"https://openalex.org/C2985722590","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medical knowledge","level":2,"score":0.43087029457092285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3451042175292969},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23239997029304504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1490442454814911},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004359","descriptor_name":"Drug Therapy, Combination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004359","descriptor_name":"Drug Therapy, Combination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004359","descriptor_name":"Drug Therapy, Combination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004359","descriptor_name":"Drug Therapy, Combination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004359","descriptor_name":"Drug Therapy, Combination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3266490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3266490","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37141055","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37141055","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G192882225","display_name":null,"funder_award_id":"U22B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2703680814","display_name":null,"funder_award_id":"62261136549","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5549910651","display_name":null,"funder_award_id":"2022YFE0112300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8164477345","display_name":"\u6570\u636e\u9a71\u52a8\u7684\u793e\u4ea4\u7f51\u7edc\u4f20\u64ad\u63a7\u5236\u5173\u952e\u7406\u8bba\u4e0e\u6280\u672f\u7814\u7a76","funder_award_id":"61976181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1977222363","https://openalex.org/W2004910511","https://openalex.org/W2042619042","https://openalex.org/W2051428761","https://openalex.org/W2105482032","https://openalex.org/W2116341502","https://openalex.org/W2131006320","https://openalex.org/W2316329158","https://openalex.org/W2396881363","https://openalex.org/W2744140371","https://openalex.org/W2755754548","https://openalex.org/W2809398771","https://openalex.org/W2899831870","https://openalex.org/W2907492528","https://openalex.org/W2907646605","https://openalex.org/W2913977338","https://openalex.org/W2922229918","https://openalex.org/W2935726879","https://openalex.org/W2958089299","https://openalex.org/W2962826786","https://openalex.org/W2963532813","https://openalex.org/W2964068143","https://openalex.org/W2965570621","https://openalex.org/W2973965787","https://openalex.org/W2978520562","https://openalex.org/W2983825113","https://openalex.org/W2991379615","https://openalex.org/W2992010506","https://openalex.org/W2997653844","https://openalex.org/W2998409174","https://openalex.org/W3003504112","https://openalex.org/W3005412143","https://openalex.org/W3016504312","https://openalex.org/W3021541414","https://openalex.org/W3035011799","https://openalex.org/W3041319475","https://openalex.org/W3080823838","https://openalex.org/W3080913355","https://openalex.org/W3092198864","https://openalex.org/W3128511643","https://openalex.org/W3161996145","https://openalex.org/W3189998517","https://openalex.org/W3192905713","https://openalex.org/W3197452085","https://openalex.org/W3199618438","https://openalex.org/W3200605651","https://openalex.org/W3212838894","https://openalex.org/W4220822815","https://openalex.org/W4285258280","https://openalex.org/W4304481239","https://openalex.org/W4385245566","https://openalex.org/W6682137061","https://openalex.org/W6726186668","https://openalex.org/W6726873649","https://openalex.org/W6767355435"],"related_works":["https://openalex.org/W2361820086","https://openalex.org/W4388487825","https://openalex.org/W2368224867","https://openalex.org/W3029903131","https://openalex.org/W3111030087","https://openalex.org/W2341334583","https://openalex.org/W1967984528","https://openalex.org/W2245747428","https://openalex.org/W2043241239","https://openalex.org/W2295879319"],"abstract_inverted_index":{"Medication":[0],"combination":[1],"prediction":[2],"(MCP)":[3],"can":[4,130],"provide":[5],"assistance":[6],"for":[7],"experts":[8],"in":[9,87,142],"the":[10,26,30,36,39,44,48,63,68,72,77,98,111,124,132,139,152,162,166,171,182,186],"more":[11],"thorough":[12],"comprehension":[13],"of":[14,38,65,79,101,165,185],"complex":[15],"mechanisms":[16],"behind":[17],"health":[18],"and":[19,47,67,116],"disease.":[20],"Many":[21],"recent":[22],"studies":[23],"focus":[24],"on":[25,174],"patient":[27],"representation":[28,64,100,157],"from":[29,83],"historical":[31],"medical":[32,40,69,85],"records,":[33],"but":[34],"neglect":[35],"value":[37],"knowledge,":[41,105],"such":[42],"as":[43,146],"prior":[45,104],"knowledge":[46,70,154],"medication":[49,120,128,140,153,156],"knowledge.":[50],"This":[51],"article":[52],"develops":[53],"a":[54,147],"medical-knowledge-based":[55],"graph":[56],"neural":[57,73],"network":[58,149],"(MK-GNN)":[59],"model":[60,134,168],"which":[61,106],"incorporates":[62],"patients":[66,80],"into":[71,155],"network.":[74],"More":[75],"specifically,":[76],"features":[78,93,121,129],"are":[81,94],"extracted":[82],"their":[84],"records":[86],"different":[88,175],"feature":[89,99],"subspaces.":[90],"Then":[91],"these":[92],"concatenated":[95],"to":[96,110,123,150],"obtain":[97],"patients.":[102],"The":[103,159,178],"is":[107,144],"calculated":[108],"according":[109,122],"mapping":[112],"relationship":[113,141],"between":[114],"medications":[115],"diagnoses,":[117],"provides":[118],"heuristic":[119],"diagnosis":[125],"results.":[126],"Such":[127],"help":[131],"MK-GNN":[133,167,187],"learn":[135],"optimal":[136],"parameters.":[137],"Moreover,":[138],"prescriptions":[143],"formulated":[145],"drug":[148],"integrate":[151],"vectors.":[158],"results":[160],"reveal":[161],"superior":[163],"performance":[164],"compared":[169],"with":[170],"state-of-the-art":[172],"baselines":[173],"evaluation":[176],"metrics.":[177],"case":[179],"study":[180],"manifests":[181],"application":[183],"potential":[184],"model.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}