{"id":"https://openalex.org/W3208229897","doi":"https://doi.org/10.1145/3459637.3482278","title":"Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation","display_name":"Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3208229897","doi":"https://doi.org/10.1145/3459637.3482278","mag":"3208229897"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482278","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","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/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, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, 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, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, 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, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, 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"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lin Yue","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","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, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372201","display_name":"Xue Li","orcid":"https://orcid.org/0000-0002-4515-6792"},"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":"Xue Li","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, 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":0.9795,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81098941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2020","last_page":"2029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998000264167786,"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":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9771999716758728,"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/computer-science","display_name":"Computer science","score":0.7969602346420288},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.637352705001831},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.6234393119812012},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.503302276134491},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4911665618419647},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.4676028788089752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46153104305267334},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41810351610183716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4136642813682556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34937620162963867},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11143505573272705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7969602346420288},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.637352705001831},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.6234393119812012},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.503302276134491},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4911665618419647},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.4676028788089752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46153104305267334},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41810351610183716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4136642813682556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34937620162963867},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11143505573272705},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482278","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2141173017","https://openalex.org/W2239731672","https://openalex.org/W2396881363","https://openalex.org/W2403702038","https://openalex.org/W2530887700","https://openalex.org/W2606974598","https://openalex.org/W2736130843","https://openalex.org/W2744140371","https://openalex.org/W2787451715","https://openalex.org/W2907097276","https://openalex.org/W2919543428","https://openalex.org/W2941249420","https://openalex.org/W2951125449","https://openalex.org/W2963260202","https://openalex.org/W2963271116","https://openalex.org/W2963448850","https://openalex.org/W2963699608","https://openalex.org/W2963789888","https://openalex.org/W2964068143","https://openalex.org/W2964091467","https://openalex.org/W2965570621","https://openalex.org/W2995876450","https://openalex.org/W3007382999","https://openalex.org/W3009569212","https://openalex.org/W3092198864"],"related_works":["https://openalex.org/W2117210722","https://openalex.org/W2589759689","https://openalex.org/W1978191894","https://openalex.org/W2018045843","https://openalex.org/W3125668480","https://openalex.org/W2032875422","https://openalex.org/W1999406711","https://openalex.org/W1989661137","https://openalex.org/W4243145179","https://openalex.org/W2896124450"],"abstract_inverted_index":{"Medication":[0],"recommendation":[1,31,184],"aiming":[2],"at":[3],"accurate":[4,57],"prescription":[5],"is":[6,49,77,84,91,160],"a":[7,109],"significant":[8],"clinical":[9,172],"application":[10],"that":[11,43,89,155,175],"assists":[12],"caregivers":[13],"in":[14,28],"professional":[15],"practice":[16],"of":[17,71,108,135],"medicine,":[18],"and":[19,97,190],"obtaining":[20],"informative":[21,179],"patient":[22,58,180],"representations":[23,181],"plays":[24],"an":[25],"important":[26,157],"role":[27],"building":[29],"effective":[30],"models.":[32],"Meanwhile,":[33],"conducting":[34,186],"attentive":[35,62],"multi-hop":[36,149],"reading":[37,63,150],"on":[38,86,129,132,151,170,188],"Memory":[39],"Neural":[40],"Network":[41],"(MemNN)":[42],"stores":[44],"knowledge":[45],"from":[46],"previous":[47],"admissions":[48],"widely":[50],"applied":[51],"to":[52,67,79],"derive":[53],"contextual":[54],"patterns":[55],"for":[56,112,182],"representations.":[59],"However,":[60],"regular":[61],"may":[64],"repeatedly":[65],"attend":[66],"the":[68,74,81,87,117,133,139,144,148,183],"same":[69],"slots":[70],"MemNN.":[72],"Although":[73],"coverage":[75,134,142],"mechanism":[76],"proposed":[78],"tackle":[80],"problem,":[82],"it":[83],"based":[85,131],"assumption":[88],"there":[90],"one-to-one":[92],"alignment":[93],"between":[94],"source":[95],"information":[96,127],"target":[98],"outputs,":[99],"which":[100],"medical":[101],"records":[102,159],"do":[103],"not":[104],"follow.":[105],"In":[106],"pursuit":[107],"valuable":[110],"model":[111],"medication":[113],"recommendation,":[114],"we":[115],"propose":[116],"Multi-hop":[118],"Reading":[119],"with":[120],"Selective":[121],"Coverage":[122],"(MRSC).":[123],"MRSC":[124,176],"firstly":[125],"conducts":[126],"selection":[128,187],"MemNN":[130,189],"each":[136],"slot.":[137],"Then":[138],"method":[140],"involves":[141],"into":[143],"attention":[145,165,192],"calculation":[146],"during":[147],"MemNN,":[152],"making":[153],"sure":[154],"all":[156],"historical":[158],"fully":[161],"utilized":[162],"by":[163,185],"balancing":[164],"within":[166,194],"selected":[167,195],"information.":[168,196],"Experiments":[169],"real-world":[171],"dataset":[173],"demonstrate":[174],"successfully":[177],"derives":[178],"limiting":[191],"adjustment":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}