{"id":"https://openalex.org/W4306317623","doi":"https://doi.org/10.1145/3511808.3557380","title":"Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation","display_name":"Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317623","doi":"https://doi.org/10.1145/3511808.3557380"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557380","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557380","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","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":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","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/A5102841028","display_name":"Jialun Wu","orcid":"https://orcid.org/0000-0002-9015-7487"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialun Wu","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074506574","display_name":"Buyue Qian","orcid":"https://orcid.org/0000-0003-4780-5677"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I2800232565","display_name":"Beijing Chao-Yang Hospital, Capital Medical University","ror":"https://ror.org/01eff5662","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2800232565","https://openalex.org/I4210110145","https://openalex.org/I4210135108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Buyue Qian","raw_affiliation_strings":["Beijing Chaoyang Hospital, Capital Medical University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Chaoyang Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I183519381","https://openalex.org/I2800232565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393153","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-4724-4785"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060638031","display_name":"Zeyu Gao","orcid":"https://orcid.org/0000-0003-2365-8318"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Gao","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001860752","display_name":"Meizhi Ju","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meizhi Ju","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646268","display_name":"Yifan Yang","orcid":"https://orcid.org/0000-0003-1891-2246"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Yang","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030762002","display_name":"Tieliang Gong","orcid":"https://orcid.org/0000-0002-3840-441X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieliang Gong","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369793","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-0079-3106"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006451453","display_name":"Xianli Zhang","orcid":"https://orcid.org/0000-0003-1995-3904"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianli Zhang","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7233,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96100558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2169","last_page":"2178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9991000294685364,"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":0.9991000294685364,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9980999827384949,"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/T10028","display_name":"Topic Modeling","score":0.9836000204086304,"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":0.7138994932174683},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.703069269657135},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.5854529738426208},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.5726265907287598},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4882245361804962},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3625977635383606},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.33902084827423096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.313396155834198},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20838099718093872},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.17287707328796387},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15324276685714722},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.09694337844848633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138994932174683},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.703069269657135},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.5854529738426208},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.5726265907287598},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4882245361804962},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3625977635383606},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.33902084827423096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.313396155834198},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20838099718093872},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.17287707328796387},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15324276685714722},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.09694337844848633}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557380","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557380","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","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":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1975147762","https://openalex.org/W1976526581","https://openalex.org/W2022476850","https://openalex.org/W2064675550","https://openalex.org/W2119002393","https://openalex.org/W2162800060","https://openalex.org/W2396881363","https://openalex.org/W2621361707","https://openalex.org/W2690721124","https://openalex.org/W2744140371","https://openalex.org/W2767891136","https://openalex.org/W2798391154","https://openalex.org/W2938214930","https://openalex.org/W2963806310","https://openalex.org/W2964068143","https://openalex.org/W2997653844","https://openalex.org/W2998409174","https://openalex.org/W3048964647","https://openalex.org/W3080987150","https://openalex.org/W3111386522","https://openalex.org/W3153293286","https://openalex.org/W3176648791","https://openalex.org/W6607982746"],"related_works":["https://openalex.org/W4230063333","https://openalex.org/W4238355463","https://openalex.org/W1515663861","https://openalex.org/W1498800420","https://openalex.org/W2085855985","https://openalex.org/W2775420868","https://openalex.org/W2042788600","https://openalex.org/W2007572891","https://openalex.org/W2161638706","https://openalex.org/W2108420737"],"abstract_inverted_index":{"Predicting":[0],"drug":[1,38,42,66,74,99,170,181],"combinations":[2],"according":[3],"to":[4],"patients'":[5],"electronic":[6],"health":[7],"records":[8],"is":[9],"an":[10],"essential":[11],"task":[12],"in":[13,21,36,41,123,153],"intelligent":[14],"healthcare":[15],"systems,":[16],"which":[17,63],"can":[18],"assist":[19],"clinicians":[20],"ordering":[22],"safe":[23],"and":[24,68,84,101,111,128,145,149,158,172],"effective":[25,180],"prescriptions.":[26],"However,":[27],"existing":[28],"work":[29],"either":[30],"missed/underutilized":[31],"the":[32,37,54,65,119,131,154,166,176],"important":[33],"information":[34],"lying":[35],"molecule":[39,77],"structure":[40],"encoding":[43,67],"or":[44],"has":[45],"insufficient":[46],"control":[47],"over":[48],"Drug-Drug":[49],"Interactions":[50],"(DDIs)":[51],"rates":[52],"within":[53],"predictions.":[55],"To":[56],"address":[57],"these":[58,90],"limitations,":[59],"we":[60],"propose":[61],"CSEDrug,":[62],"enhances":[64],"DDIs":[69,82,86],"controlling":[70],"by":[71,96],"leveraging":[72],"multi-faceted":[73],"knowledge,":[75],"including":[76,105],"structures":[78],"of":[79,92,121,125,165,175],"drugs,":[80],"Synergistic":[81],"(SDDIs),":[83],"Antagonistic":[85],"(ADDIs).":[87],"We":[88,117],"integrate":[89],"types":[91],"knowledge":[93],"into":[94],"CSEDrug":[95,122,140],"a":[97,106,112,147,150,162],"graph-based":[98],"encoder":[100],"multiple":[102],"loss":[103,110],"functions,":[104],"novel":[107],"triplet":[108],"learning":[109],"comprehensive":[113],"DDI":[114],"controllable":[115],"loss.":[116],"evaluate":[118],"performance":[120],"terms":[124],"accuracy,":[126],"effectiveness,":[127],"safety":[129],"on":[130],"public":[132],"MIMIC-III":[133],"dataset.":[134],"The":[135],"experimental":[136],"results":[137],"demonstrate":[138],"that":[139],"outperforms":[141],"several":[142],"state-of-the-art":[143],"methods":[144],"achieves":[146],"2.93%":[148],"2.77%":[151],"increase":[152],"Jaccard":[155],"similarity":[156],"scores":[157],"F1":[159],"scores,":[160],"meanwhile,":[161],"0.68%":[163],"reduction":[164],"ADDI":[167],"rate":[168,178],"(safer":[169],"combinations),":[171],"0.69%":[173],"improvement":[174],"SDDI":[177],"(more":[179],"combinations).":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}