{"id":"https://openalex.org/W4225576909","doi":"https://doi.org/10.1145/3498851.3498968","title":"Medication Recommendation Based on a Knowledge-enhanced Pre-training Model","display_name":"Medication Recommendation Based on a Knowledge-enhanced Pre-training Model","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4225576909","doi":"https://doi.org/10.1145/3498851.3498968"},"language":"en","primary_location":{"id":"doi:10.1145/3498851.3498968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3498851.3498968","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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":"IEEE/WIC/ACM International Conference on Web Intelligence","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/A5082529341","display_name":"M. Wang","orcid":"https://orcid.org/0000-0003-4062-710X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengzhen Wang","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765306","display_name":"Jianhui Chen","orcid":"https://orcid.org/0000-0001-6501-9819"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Chen","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036375505","display_name":"Shaofu Lin","orcid":"https://orcid.org/0000-0002-3653-6531"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofu Lin","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082529341"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.5026,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68209011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"290","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9936000108718872,"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":0.9905999898910522,"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":0.7672768235206604},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5566893219947815},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5270251035690308},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.527011513710022},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5093303918838501},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48626959323883057},{"id":"https://openalex.org/keywords/medical-knowledge","display_name":"Medical knowledge","score":0.4346412718296051},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.42117980122566223},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.41080498695373535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4097744822502136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38938236236572266},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38412198424339294},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.374599426984787},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16610398888587952},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1612459421157837},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.10464119911193848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672768235206604},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5566893219947815},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5270251035690308},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.527011513710022},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5093303918838501},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48626959323883057},{"id":"https://openalex.org/C2985722590","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medical knowledge","level":2,"score":0.4346412718296051},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.42117980122566223},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.41080498695373535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4097744822502136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38938236236572266},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38412198424339294},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.374599426984787},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16610398888587952},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1612459421157837},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.10464119911193848},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3498851.3498968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3498851.3498968","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2517259736","https://openalex.org/W2557074642","https://openalex.org/W2559655401","https://openalex.org/W2612690371","https://openalex.org/W2744140371","https://openalex.org/W2890477846","https://openalex.org/W3041319475","https://openalex.org/W3043314599","https://openalex.org/W3092198864","https://openalex.org/W6677316912","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4385571037","https://openalex.org/W4286008391","https://openalex.org/W4391382758","https://openalex.org/W4285322112","https://openalex.org/W2972227770","https://openalex.org/W4319438883","https://openalex.org/W2763982433","https://openalex.org/W4292794239"],"abstract_inverted_index":{"More":[0],"and":[1,14,38,75,84,136,149],"more":[2,132],"attention":[3],"has":[4],"been":[5],"paid":[6],"to":[7,110],"electronic":[8],"medical":[9,135],"record":[10],"(EMR)-based":[11],"auxiliary":[12],"diagnosis":[13,37],"treatment,":[15],"in":[16,72,139],"which":[17],"medication":[18,27,63,158],"recommendation":[19,28],"is":[20,78],"an":[21],"important":[22],"research":[23],"direction.":[24],"The":[25,125],"existing":[26],"models":[29],"mainly":[30],"depend":[31],"on":[32,128],"the":[33,41,66,69,87,92,96,112,122,144,155],"data":[34,46,89,93,105,123,130],"of":[35,44,102,106,146,157],"patients,":[36],"medications.":[39],"However,":[40],"insufficient":[42],"amount":[43],"clinical":[45,88],"with":[47],"temporal":[48],"dependencies":[49],"becomes":[50],"a":[51,57,99,117],"major":[52],"obstacle.":[53],"This":[54],"paper":[55],"proposes":[56],"new":[58],"knowledge-enhanced":[59],"pre-training":[60,150],"model":[61,115,151],"for":[62,90,120],"recommendation.":[64,159],"On":[65,95],"one":[67],"hand,":[68,98],"classification":[70,147],"knowledge":[71,148],"diagnostic":[73],"codes":[74,77],"drug":[76],"encoded":[79],"by":[80,116],"Graph":[81],"Attention":[82],"Network":[83],"fused":[85],"into":[86],"expanding":[91,121],"content.":[94],"other":[97],"large":[100],"number":[101],"single":[103],"visit":[104,114],"EMR":[107,129],"are":[108],"used":[109],"create":[111],"pre-trained":[113],"modified":[118],"BERT":[119],"scale.":[124],"experimental":[126],"results":[127],"from":[131],"than":[133],"2,000":[134],"health":[137],"institutions":[138],"Hainan,":[140],"China":[141],"show":[142],"that":[143],"fusion":[145],"can":[152],"effectively":[153],"improve":[154],"accuracy":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}