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The application of machine learning for identifying frailty in older patients during hospital admission

Abstract Background Early identification of frail patients and early interventional treatment can minimize the frailty-related medical burden. This study investigated the use of machine learning (ML) to detect frailty in hospitalized older adults with acute illnesses. Methods We enrolled inpatients...

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Principais autores: Yin-Yi Chou, Min-Shian Wang, Cheng-Fu Lin, Yu-Shan Lee, Pei-Hua Lee, Shih-Ming Huang, Chieh-Liang Wu, Shih-Yi Lin
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2024-09-01
coleção:BMC Medical Informatics and Decision Making
Assuntos:
Frailty
Machine learning
Elderly
Hospital admission
Acesso em linha:https://doi.org/10.1186/s12911-024-02684-z
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