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A Study of Logistic Regression for Fatigue Classification Based on Data of Tongue and Pulse.
Shi, Yu Lin; Jiang, Tao; Hu, Xiao Juan; Cui, Ji; Cui, Long Tao; Tu, Li Ping; Yao, Xing Hua; Huang, Jing Bin; Xu, Jia Tuo.
Afiliação
  • Shi YL; Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
  • Jiang T; Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
  • Hu XJ; Shanghai Collaborative Innovation Center of Health Service in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
  • Cui J; Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
  • Cui LT; Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
  • Tu LP; Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
  • Yao XH; Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
  • Huang JB; Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
  • Xu JT; Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai, China.
Evid Based Complement Alternat Med ; 2022: 2454678, 2022.
Article em En | MEDLINE | ID: mdl-35287309
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Evid Based Complement Alternat Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Evid Based Complement Alternat Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China