{"id":"https://openalex.org/W7126045652","doi":"https://doi.org/10.1109/bibm66473.2025.11356770","title":"KDA-TCM: Evidence-Grounded Prescription Generation From Symptoms in Chinese EMRs","display_name":"KDA-TCM: Evidence-Grounded Prescription Generation From Symptoms in Chinese EMRs","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126045652","doi":"https://doi.org/10.1109/bibm66473.2025.11356770"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5017842248","display_name":"H. S. Chen","orcid":"https://orcid.org/0009-0008-0777-3942"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyi Chen","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science School of Computer Science,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science School of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121810224","display_name":"Naiqing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naiqing Li","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science School of Computer Science,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science School of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102745152","display_name":"H. Huang","orcid":"https://orcid.org/0009-0005-2859-4319"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoming Huang","raw_affiliation_strings":["Independent Researcher,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124151858","display_name":"Jianhuang Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhuang Lai","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science School of Computer Science,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science School of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102790464","display_name":"Changdong Wang","orcid":"https://orcid.org/0000-0002-2595-1369"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changdong Wang","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science School of Computer Science,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science School of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79572119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4848","last_page":"4856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.7487000226974487,"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":0.7487000226974487,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.17550000548362732,"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":0.007699999958276749,"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/medical-prescription","display_name":"Medical prescription","score":0.8102999925613403},{"id":"https://openalex.org/keywords/clinical-trial","display_name":"Clinical trial","score":0.4514000117778778},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.41830000281333923},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.39489999413490295},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.38690000772476196},{"id":"https://openalex.org/keywords/alternative-medicine","display_name":"Alternative medicine","score":0.38179999589920044},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.3411000072956085},{"id":"https://openalex.org/keywords/diagnosis-code","display_name":"Diagnosis code","score":0.32839998602867126}],"concepts":[{"id":"https://openalex.org/C2426938","wikidata":"https://www.wikidata.org/wiki/Q3355478","display_name":"Medical prescription","level":2,"score":0.8102999925613403},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.661899983882904},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.4514000117778778},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.36169999837875366},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C45827449","wikidata":"https://www.wikidata.org/wiki/Q5270338","display_name":"Diagnosis code","level":3,"score":0.32839998602867126},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.3255000114440918},{"id":"https://openalex.org/C2911204551","wikidata":"https://www.wikidata.org/wiki/Q3184856","display_name":"Prescription Drug Misuse","level":5,"score":0.30219998955726624},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.2784000039100647},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.25619998574256897},{"id":"https://openalex.org/C512399662","wikidata":"https://www.wikidata.org/wiki/Q3505712","display_name":"Family medicine","level":1,"score":0.2547000050544739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2542000114917755},{"id":"https://openalex.org/C19648533","wikidata":"https://www.wikidata.org/wiki/Q691640","display_name":"Evidence-based medicine","level":3,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/16","display_name":"Peace, Justice and strong institutions","score":0.6073833703994751}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2902802452","https://openalex.org/W4396919238","https://openalex.org/W4400128031","https://openalex.org/W4400872202","https://openalex.org/W4401042391","https://openalex.org/W4401857375","https://openalex.org/W4402670350","https://openalex.org/W4404587109","https://openalex.org/W4409582940","https://openalex.org/W4412536799","https://openalex.org/W4412945382"],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"growing":[6],"potential":[7],"in":[8,14,54,98,109],"Traditional":[9],"Chinese":[10],"Medicine":[11],"(TCM),":[12],"particularly":[13],"diagnostic":[15,48,76,110],"assistance":[16],"and":[17,33,62,78,89,101,112,123,133],"knowledge":[18],"mining.":[19],"Yet":[20],"their":[21],"direct":[22],"use":[23],"for":[24,143],"prescription":[25,52,113],"generation":[26,53,91],"remains":[27],"limited":[28],"by":[29,82,93],"risks":[30],"of":[31,35,74],"hallucination":[32],"lack":[34],"clinical":[36,56,94,126,131,145],"safety":[37],"mechanisms.":[38],"To":[39],"bridge":[40],"this":[41],"gap,":[42],"we":[43],"propose":[44],"KDA-TCM,":[45],"a":[46,69,124,137],"retrievalaugmented":[47],"agent":[49],"that":[50],"grounds":[51],"verified":[55],"evidence":[57,87],"from":[58],"electronic":[59],"medical":[60],"records":[61],"classical":[63],"TCM":[64,144],"texts.":[65],"KDA-TCM":[66,135],"operates":[67],"through":[68],"two-phase":[70],"framework:":[71],"offline":[72],"curation":[73],"validated":[75],"rules,":[77],"online":[79],"inference":[80],"guided":[81],"multi-task":[83],"syndrome":[84],"prediction,":[85],"dynamic":[86],"retrieval,":[88],"safety-gated":[90],"enforced":[92],"constraint":[95],"modules.":[96],"Evaluated":[97],"both":[99],"expert-reviewed":[100],"real-world":[102],"settings,":[103],"KDATCM":[104],"significantly":[105],"outperforms":[106],"existing":[107],"LLMs":[108],"fidelity":[111],"validity,":[114],"while":[115],"maintaining":[116],"fairness":[117],"across":[118],"demographic":[119],"groups.":[120],"Expert":[121],"evaluations":[122],"silent":[125],"trial":[127],"further":[128],"confirm":[129],"its":[130],"readiness":[132],"reliability.":[134],"represents":[136],"step":[138],"toward":[139],"trustworthy,":[140],"evidence-based":[141],"AI":[142],"decision":[146],"support.":[147]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-30T00:00:00"}