Identifying self-reported health-related problems in home-based rehabilitation of older patients after hip replacement in China: a machine learning study based on Omaha system theory.

Chen, Jing; He, Fan; Wu, Qian; Wang, Li; Zhu, Xiaoxia; Qi, Yan; Wu, JiaLing; Shi, Yan

Chen, Jing; He, Fan; Wu, Qian; Wang, Li; Zhu, Xiaoxia; Qi, Yan; Wu, JiaLing; Shi, Yan.

Afiliação

Chen J; College of Design and Innovation, Tongji University, Shanghai, China. tegobao@tongji.edu.cn.
He F; Smart Engineering Research Institute, Shanghai Investigation, Design & Research Institute Co.,Ltd, Shanghai, China.
Wu Q; Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Wang L; Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhu X; Orthopaedics Department, Changhai Hospital, The Second Military Medical University, Shanghai, China.
Qi Y; School of Medicine, Jinggangshan University, Ji An, China.
Wu J; School of nursing and health management, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Shi Y; Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China. hlzk2002@163.com.

BMC Med Inform Decis Mak ; 23(1): 268, 2023 11 21.

Article em En | MEDLINE | ID: mdl-37990317

Assuntos

Artroplastia de Quadril; Humanos; Idoso; Artroplastia de Quadril/reabilitação; Autorrelato; Inteligência Artificial; Hospitalização; Aprendizado de Máquina

Palavras-chave

Hip replacement; Home-based rehabilitation; Machine learning; Older individual; Self-reported outcome

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artroplastia de Quadril Limite: Aged / Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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