{"id":"https://openalex.org/W4206095006","doi":"https://doi.org/10.1109/bibm52615.2021.9669769","title":"KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine","display_name":"KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206095006","doi":"https://doi.org/10.1109/bibm52615.2021.9669769"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669769","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5120863466","display_name":"Shu Li","orcid":"https://orcid.org/0000-0001-8409-5390"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuchen Li","raw_affiliation_strings":["Key Lab of Computer Network & Information Integration, MOE Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Computer Network & Information Integration, MOE Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391660","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-5401-3331"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Key Lab of Computer Network & Information Integration, MOE Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Computer Network & Information Integration, MOE Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101699117","display_name":"Jieyue He","orcid":"https://orcid.org/0000-0002-3265-3351"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieyue He","raw_affiliation_strings":["Key Lab of Computer Network & Information Integration, MOE Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Computer Network & Information Integration, MOE Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"450","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9865999817848206,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9824000000953674,"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/interpretability","display_name":"Interpretability","score":0.8000210523605347},{"id":"https://openalex.org/keywords/medical-prescription","display_name":"Medical prescription","score":0.7708189487457275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6194366216659546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5584041476249695},{"id":"https://openalex.org/keywords/traditional-chinese-medicine","display_name":"Traditional Chinese medicine","score":0.4464412331581116},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44414612650871277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38035473227500916},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3472694456577301},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3376615643501282},{"id":"https://openalex.org/keywords/alternative-medicine","display_name":"Alternative medicine","score":0.22024840116500854}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8000210523605347},{"id":"https://openalex.org/C2426938","wikidata":"https://www.wikidata.org/wiki/Q3355478","display_name":"Medical prescription","level":2,"score":0.7708189487457275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194366216659546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5584041476249695},{"id":"https://openalex.org/C188947578","wikidata":"https://www.wikidata.org/wiki/Q200253","display_name":"Traditional Chinese medicine","level":3,"score":0.4464412331581116},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44414612650871277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38035473227500916},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3472694456577301},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3376615643501282},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.22024840116500854},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669769","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4000000059604645,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2042737779","https://openalex.org/W2127795553","https://openalex.org/W2133564696","https://openalex.org/W2184957013","https://openalex.org/W2283196293","https://openalex.org/W2509893387","https://openalex.org/W2782374321","https://openalex.org/W2786150157","https://openalex.org/W2913560138","https://openalex.org/W2942231519","https://openalex.org/W2945623882","https://openalex.org/W2951227353","https://openalex.org/W3004983594","https://openalex.org/W3012139728","https://openalex.org/W3028443373","https://openalex.org/W3032163490","https://openalex.org/W3033661031","https://openalex.org/W3099602291","https://openalex.org/W3106439716","https://openalex.org/W3128543601","https://openalex.org/W3173170808","https://openalex.org/W6678830454","https://openalex.org/W6679434410","https://openalex.org/W6686133869","https://openalex.org/W6695596964","https://openalex.org/W6748162234","https://openalex.org/W6775269971"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W1986582023","https://openalex.org/W2966829450","https://openalex.org/W2372843101"],"abstract_inverted_index":{"Prescriptions":[0],"play":[1],"an":[2],"essential":[3],"role":[4],"in":[5],"the":[6,27,34,54,58,62,72,79,83,110,133,145,164,171],"process":[7,173],"of":[8,23,29,46,61,71,86,103,123,151,174,197],"Traditional":[9,104],"Chinese":[10,105],"Medicine":[11,106],"(TCM)":[12],"diagnosis":[13,176],"and":[14,38,69,132,139,177,193,200],"treatment.":[15,178],"Prescription":[16,101],"generation":[17,112],"is":[18,155,167,185],"to":[19,25,48,77,169],"generate":[20,49],"a":[21,30,44,92,115,124,129,158,188],"set":[22],"herbs":[24,140],"treat":[26],"symptoms":[28,37,60,122,138,153],"patient":[31,125],"by":[32,144,157],"analyzing":[33],"relationship":[35,56],"between":[36,57,82,137],"herbs.":[39],"Although":[40],"there":[41],"have":[42,52],"been":[43],"couple":[45],"studies":[47],"prescriptions,":[50],"they":[51],"ignored":[53],"implicit":[55],"different":[59],"patients.":[63],"In":[64],"addition,":[65],"abundant":[66],"semantic":[67,135],"information":[68,136,150],"interpretability":[70],"knowledge":[73,146],"graph":[74],"can":[75,141],"help":[76],"portray":[78],"complicated":[80,134],"relationships":[81],"various":[84],"modules":[85],"TCM.":[87],"Therefore,":[88],"this":[89],"paper":[90],"proposes":[91],"Knowledge-Aware":[93],"neural":[94],"Group":[95],"representation":[96],"learning":[97],"model":[98],"for":[99],"Attentive":[100],"Generation":[102],"(KGAPG),":[107],"which":[108,154],"regards":[109],"prescription":[111,190],"task":[113],"as":[114,128],"group":[116,131,159],"recommendation":[117],"problem.":[118],"More":[119],"specifically,":[120],"multiple":[121,152],"are":[126],"considered":[127],"symptom":[130],"be":[142],"captured":[143],"graph.":[147],"The":[148,179],"syndrome":[149],"summarized":[156],"aggregation":[160],"method":[161],"based":[162],"on":[163,187],"attention":[165],"mechanism":[166],"applied":[168],"simulate":[170],"actual":[172],"TCM":[175,189],"experiment":[180],"results":[181],"demonstrate":[182],"that":[183],"KGAPG":[184],"effective":[186],"benchmark":[191],"dataset,":[192],"its":[194],"evaluation":[195],"indicators":[196],"Precision,":[198],"Recall":[199],"NDCG":[201],"exceed":[202],"other":[203],"state-of-the-art":[204],"methods.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}