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Discovering treatment pattern in Traditional Chinese Medicine clinical cases by exploiting supervised topic model and domain knowledge.
Yao, Liang; Zhang, Yin; Wei, Baogang; Wang, Wei; Zhang, Yuejiao; Ren, Xiaolin; Bian, Yali.
Afiliação
  • Yao L; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China. Electronic address: yaoliang@zju.edu.cn.
  • Zhang Y; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China. Electronic address: yinzh@zju.edu.cn.
  • Wei B; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China. Electronic address: wbg@zju.edu.cn.
  • Wang W; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China. Electronic address: stephenwangw@163.com.
  • Zhang Y; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China. Electronic address: yjzhangshi@163.com.
  • Ren X; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China. Electronic address: xiaolinr@126.com.
  • Bian Y; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China. Electronic address: bianyali@zju.edu.cn.
J Biomed Inform ; 58: 260-267, 2015 Dec.
Article em En | MEDLINE | ID: mdl-26524127
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Tradicional Chinesa / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Tradicional Chinesa / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article