Using link topic model to analyze traditional Chinese medicine clinical symptom-herb regularities

2012 IEEE 14th International Conference on e-Health Networking, Applications and Services, Healthcom 2012

Volumn , Issue , 2012, Pages 15-18

  Jiang, Zaixing ^a   Zhou, Xuezhong ^a   Zhang, Xiaoping ^b   Chen, Shibo ^b  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b INSTITUTE OF CHINESE MATERIA MEDICA   (China)

Author keywords

Author topic model(AT); Latent Dirichlet allocation (LDA); Link latent Dirichlet allocation (LinkLDA); Traditional Chinese Medicine (TCM)

Indexed keywords

AUTHOR-TOPIC MODEL(AT); CLINICAL DATA; CLINICAL DIAGNOSIS; CLINICAL MEDICINE; CLINICAL PRACTICES; HUMAN PHYSIOLOGY; LATENT DIRICHLET ALLOCATION; LATENT DIRICHLET ALLOCATIONS; TEXT ANALYSIS; TOPIC MODEL; TOPIC STRUCTURES; TRADITIONAL CHINESE MEDICINE;

DATA WAREHOUSES; DISEASES; STATISTICS;

DIAGNOSIS;

EID: 84872048259     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HealthCom.2012.6380057     Document Type: Conference Paper

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