{"id":"https://openalex.org/W2028094853","doi":"https://doi.org/10.1109/healthcom.2012.6380057","title":"Using link topic model to analyze traditional Chinese Medicine Clinical symptom-herb regularities","display_name":"Using link topic model to analyze traditional Chinese Medicine Clinical symptom-herb regularities","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2028094853","doi":"https://doi.org/10.1109/healthcom.2012.6380057","mag":"2028094853"},"language":"en","primary_location":{"id":"doi:10.1109/healthcom.2012.6380057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom.2012.6380057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","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/A5102720684","display_name":"Zaixing Jiang","orcid":"https://orcid.org/0000-0002-6542-3202"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zaixing Jiang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer & Information Technology, Beijing Jiaotong University, 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052838340","display_name":"Xuezhong Zhou","orcid":"https://orcid.org/0000-0002-4713-3594"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuezhong Zhou","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer & Information Technology, Beijing Jiaotong University, 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363169","display_name":"Xiaoping Zhang","orcid":"https://orcid.org/0000-0003-0995-4989"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210141683","display_name":"China Academy of Chinese Medical Sciences","ror":"https://ror.org/042pgcv68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Zhang","raw_affiliation_strings":["Academy of Chinese Medical Sciences, Beijing, China","China Academy of Chinese Medicine Sciences, Beijing 100700, China"],"affiliations":[{"raw_affiliation_string":"Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"China Academy of Chinese Medicine Sciences, Beijing 100700, China","institution_ids":["https://openalex.org/I4210141683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055447925","display_name":"Shibo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210146387","display_name":"Guang\u2019anmen Hospital","ror":"https://ror.org/04gjmb875","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibo Chen","raw_affiliation_strings":["Guanganmen Hospital, Academy of Chinese Medical Sciences, Beijing, China","Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053"],"affiliations":[{"raw_affiliation_string":"Guanganmen Hospital, Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210146387","https://openalex.org/I200296433"]},{"raw_affiliation_string":"Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210146387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102720684"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":3.4875,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92164496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9993000030517578,"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":0.9993000030517578,"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":0.983299970626831,"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":0.9182000160217285,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9185442328453064},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.7201663255691528},{"id":"https://openalex.org/keywords/traditional-chinese-medicine","display_name":"Traditional Chinese medicine","score":0.6511289477348328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5527092218399048},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5270241498947144},{"id":"https://openalex.org/keywords/chinese-herbs","display_name":"Chinese herbs","score":0.44462788105010986},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4219074249267578},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40554967522621155},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40260082483291626},{"id":"https://openalex.org/keywords/traditional-medicine","display_name":"Traditional medicine","score":0.3782702386379242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37641382217407227},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35742998123168945},{"id":"https://openalex.org/keywords/alternative-medicine","display_name":"Alternative medicine","score":0.34944623708724976},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30154019594192505},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08696931600570679}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9185442328453064},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.7201663255691528},{"id":"https://openalex.org/C188947578","wikidata":"https://www.wikidata.org/wiki/Q200253","display_name":"Traditional Chinese medicine","level":3,"score":0.6511289477348328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5527092218399048},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5270241498947144},{"id":"https://openalex.org/C2909810673","wikidata":"https://www.wikidata.org/wiki/Q261503","display_name":"Chinese herbs","level":4,"score":0.44462788105010986},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4219074249267578},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40554967522621155},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40260082483291626},{"id":"https://openalex.org/C556039675","wikidata":"https://www.wikidata.org/wiki/Q771035","display_name":"Traditional medicine","level":1,"score":0.3782702386379242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37641382217407227},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35742998123168945},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.34944623708724976},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30154019594192505},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08696931600570679},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/healthcom.2012.6380057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom.2012.6380057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","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":22,"referenced_works":["https://openalex.org/W105935508","https://openalex.org/W1504113064","https://openalex.org/W1880262756","https://openalex.org/W1984495457","https://openalex.org/W1992035102","https://openalex.org/W2008499150","https://openalex.org/W2011550183","https://openalex.org/W2019095943","https://openalex.org/W2038002297","https://openalex.org/W2048064382","https://openalex.org/W2109154616","https://openalex.org/W2117930227","https://openalex.org/W2130978632","https://openalex.org/W2140124448","https://openalex.org/W2145677303","https://openalex.org/W2146739259","https://openalex.org/W2165636119","https://openalex.org/W2334889010","https://openalex.org/W2897438987","https://openalex.org/W2949169239","https://openalex.org/W4237791300","https://openalex.org/W6703074907"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W3005513013","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W4389543811"],"abstract_inverted_index":{"Traditional":[0],"Chinese":[1],"Medicine":[2],"(TCM)":[3],"is":[4,147],"a":[5,46],"clinical":[6,20,56,74,141],"medicine,":[7],"which":[8,117],"focuses":[9],"on":[10,54],"human":[11],"physiology,":[12],"pathology,":[13],"diagnosis":[14],"and":[15,22,58,61,88,94,124,136,158],"treatment":[16],"of":[17,33,49,69,72,121,161],"diseases.":[18],"Numerous":[19],"practice":[21],"theory":[23],"research":[24],"in":[25],"the":[26,67,104,113,119,131,145,159],"TCM":[27,38,41,55,73],"field":[28],"have":[29],"accumulated":[30],"huge":[31],"amount":[32],"data.":[34,75],"These":[35],"data":[36,52],"include":[37],"basic":[39],"databases,":[40],"literature,":[42],"as":[43,45,155],"well":[44],"large":[47],"number":[48],"databases":[50],"or":[51],"warehouse":[53],"diagnoses":[57],"treatment.":[59],"More":[60],"more":[62],"people":[63],"pay":[64],"attention":[65],"to":[66,110],"discovery":[68],"hidden":[70],"regularities":[71],"In":[76,99],"recent":[77],"years,":[78],"topic":[79,115,133,152],"model":[80,146],"has":[81],"been":[82],"popularly":[83],"used":[84],"for":[85],"text":[86],"analysis":[87],"information":[89,120],"retrieval":[90],"by":[91],"extracting":[92],"latent":[93,114,132],"significant":[95],"topics":[96],"from":[97],"corpus.":[98],"this":[100],"paper,":[101],"we":[102],"apply":[103],"Link":[105],"Latent":[106],"Dirichlet":[107],"Allocation":[108],"(LinkLDA),":[109],"automatically":[111],"extract":[112],"structures":[116],"contain":[118],"both":[122],"symptoms":[123,135],"their":[125,137],"corresponding":[126,138],"herbs.":[127],"By":[128],"experimental":[129],"results,":[130],"with":[134,150],"herbs":[139],"show":[140],"meaningful":[142],"results.":[143,165],"Furthermore,":[144],"also":[148],"compared":[149],"other":[151],"models,":[153],"such":[154],"author-topic":[156],"model,":[157],"result":[160],"LinkLDA":[162],"got":[163],"better":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}