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Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach.
Xing, Hua; Su, Xiaojie; Liu, Yushan; Chen, Yang; Ju, Yubin; Kang, Zhiran; Sun, Wuquan; Yao, Fei; Yao, Lijun; Gong, Li.
Afiliação
  • Xing H; Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Su X; Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Liu Y; Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China.
  • Chen Y; Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China.
  • Ju Y; Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Kang Z; Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Sun W; Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Yao F; School of Acupuncture and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Yao L; Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China lyao@tongji.edu.cn yyyygongli@shutcm.edu.cn.
  • Gong L; Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China lyao@tongji.edu.cn yyyygongli@shutcm.edu.cn.
BMJ Open ; 13(8): e067036, 2023 08 01.
Article em En | MEDLINE | ID: mdl-37527889
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tai Chi Chuan Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tai Chi Chuan Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China