{"id":"https://openalex.org/W3189998517","doi":"https://doi.org/10.24963/ijcai.2021/431","title":"Self-Supervised Adversarial Distribution Regularization for Medication Recommendation","display_name":"Self-Supervised Adversarial Distribution Regularization for Medication Recommendation","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3189998517","doi":"https://doi.org/10.24963/ijcai.2021/431","mag":"3189998517"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/431","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/431","pdf_url":"https://www.ijcai.org/proceedings/2021/0431.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0431.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047936749","display_name":"Yanda Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanda Wang","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics","Nanjing University of Aeronautics and Astronautics, Nanjing, 211106 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, 211106 China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065555672","display_name":"Weitong Chen","orcid":"https://orcid.org/0000-0003-1001-7925"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weitong Chen","raw_affiliation_strings":["The University of Queensland","The University of Queensland, Brisbane QLD 4072 Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland","institution_ids":["https://openalex.org/I165143802"]},{"raw_affiliation_string":"The University of Queensland, Brisbane QLD 4072 Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088602677","display_name":"Dechang Pi","orcid":"https://orcid.org/0000-0002-6593-4563"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dechang PI","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics","Nanjing University of Aeronautics and Astronautics, Nanjing, 211106 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, 211106 China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112498068","display_name":"Lin Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]},{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Lin Yue","raw_affiliation_strings":["Northeast Normal University","The University of Queensland","The University of Queensland, Brisbane QLD 4072 Australia","Northeast Normal University, Changchun, 130024 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]},{"raw_affiliation_string":"The University of Queensland","institution_ids":["https://openalex.org/I165143802"]},{"raw_affiliation_string":"The University of Queensland, Brisbane QLD 4072 Australia","institution_ids":["https://openalex.org/I165143802"]},{"raw_affiliation_string":"Northeast Normal University, Changchun, 130024 China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350745","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0002-5414-8276"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sen Wang","raw_affiliation_strings":["The University of Queensland","The University of Queensland, Brisbane QLD 4072 Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland","institution_ids":["https://openalex.org/I165143802"]},{"raw_affiliation_string":"The University of Queensland, Brisbane QLD 4072 Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016620131","display_name":"Miao Xu","orcid":"https://orcid.org/0000-0001-9409-6960"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Miao Xu","raw_affiliation_strings":["The University of Queensland","The University of Queensland, Brisbane QLD 4072 Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland","institution_ids":["https://openalex.org/I165143802"]},{"raw_affiliation_string":"The University of Queensland, Brisbane QLD 4072 Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.198,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95018721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3134","last_page":"3140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13702","display_name":"Machine Learning in Healthcare","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7781833410263062},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7508641481399536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7037930488586426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5714352130889893},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5706005096435547},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5628819465637207},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.470927894115448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.331548273563385}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7781833410263062},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7508641481399536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037930488586426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5714352130889893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5706005096435547},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5628819465637207},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.470927894115448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.331548273563385},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/431","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/431","pdf_url":"https://www.ijcai.org/proceedings/2021/0431.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/431","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/431","pdf_url":"https://www.ijcai.org/proceedings/2021/0431.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2147507192","display_name":"\u9ad8\u7ef4SMT\u516c\u5f0f\u7684\u6c42\u89e3\u4e0e\u89e3\u7a7a\u95f4\u5927\u5c0f\u8ba1\u7b97","funder_award_id":"61972384","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189998517.pdf","grobid_xml":"https://content.openalex.org/works/W3189998517.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2141173017","https://openalex.org/W2396881363","https://openalex.org/W2567534979","https://openalex.org/W2744140371","https://openalex.org/W2765561616","https://openalex.org/W2769836604","https://openalex.org/W2808409763","https://openalex.org/W2907097276","https://openalex.org/W2919543428","https://openalex.org/W2941249420","https://openalex.org/W2952376694","https://openalex.org/W2962876161","https://openalex.org/W2963078493","https://openalex.org/W2963271116","https://openalex.org/W2963448850","https://openalex.org/W2963609389","https://openalex.org/W2963806310","https://openalex.org/W2964015378","https://openalex.org/W2964068143","https://openalex.org/W2965570621","https://openalex.org/W2973632541","https://openalex.org/W3009569212","https://openalex.org/W3098269892","https://openalex.org/W4293568373","https://openalex.org/W4297951436","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Medication":[0,86],"recommendation":[1],"is":[2,24],"a":[3,56,71,75,135,161],"significant":[4],"healthcare":[5],"application":[6],"due":[7],"to":[8,20,33,117,145],"its":[9],"promise":[10],"in":[11,157],"effectively":[12],"prescribing":[13],"medications.":[14],"Avoiding":[15],"fatal":[16],"side":[17],"effects":[18],"related":[19],"Drug-Drug":[21],"Interaction":[22],"(DDI)":[23],"among":[25],"the":[26,35,80,91,109,158,173,181],"critical":[27],"challenges.":[28],"Most":[29],"existing":[30],"methods":[31,156],"try":[32],"mitigate":[34],"problem":[36],"by":[37,133],"providing":[38],"models":[39,45,127],"with":[40,51,95],"extra":[41],"DDI":[42,53,119,169,177],"knowledge,":[43],"making":[44],"complicated.":[46],"While":[47],"treating":[48],"all":[49,154],"patients":[50,132],"different":[52,174],"properties":[54],"as":[55],"single":[57],"cohort":[58],"would":[59],"put":[60],"forward":[61],"strict":[62],"requirements":[63],"on":[64,160],"models'":[65],"generalization":[66],"performance.":[67],"In":[68,106],"pursuit":[69],"of":[70,114,176,183],"valuable":[72],"model":[73,110,166],"for":[74,85,103,149,186],"safe":[76,96,187],"recommendation,":[77],"we":[78],"propose":[79],"Self-Supervised":[81],"Adversarial":[82],"Regularization":[83],"Model":[84],"Recommendation":[87],"(SARMR).":[88],"SARMR":[89,126,152],"obtains":[90],"target":[92],"distribution":[93],"associated":[94],"medication":[97,188],"combinations":[98],"from":[99],"raw":[100],"patient":[101,115,150],"records":[102],"adversarial":[104,184],"regularization.":[105],"this":[107],"way,":[108],"can":[111,167],"shape":[112],"distributions":[113],"representations":[116],"achieve":[118,168],"reduction.":[120],"To":[121],"obtain":[122,146],"accurate":[123],"self-supervision":[124],"information,":[125],"interactions":[128],"between":[129],"physicians":[130],"and":[131,140],"building":[134],"key-value":[136],"memory":[137],"neural":[138],"network":[139],"carrying":[141],"out":[142],"multi-hop":[143],"reading":[144],"contextual":[147],"information":[148],"representations.":[151],"outperforms":[153],"baseline":[155],"experiment":[159],"real-world":[162],"clinical":[163],"dataset.":[164],"This":[165],"reduction":[170],"when":[171],"considering":[172],"number":[175],"types,":[178],"which":[179],"demonstrates":[180],"robustness":[182],"regularization":[185],"recommendation.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
