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Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty.
Fan, Shaoyi; Ye, Jieshun; Xu, Qing; Peng, Runxin; Hu, Bin; Pei, Zhong; Yang, Zhimin; Xu, Fuping.
Afiliação
  • Fan S; The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Ye J; School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
  • Xu Q; The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Peng R; The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Hu B; Division of Translational Neuroscience, Department of Clinical Neurosciences, Hotchkiss Brain Institute, Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
  • Pei Z; Department of Neurology, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Yang Z; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
  • Xu F; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Front Public Health ; 11: 1169083, 2023.
Article em En | MEDLINE | ID: mdl-37546315
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fragilidade / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fragilidade / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article