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

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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Bibliographic Details
Main Authors: Yin-Yi Chou, Min-Shian Wang, Cheng-Fu Lin, Yu-Shan Lee, Pei-Hua Lee, Shih-Ming Huang, Chieh-Liang Wu, Shih-Yi Lin
Format: Article
Language:English
Published: BMC 2024-09-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Frailty
Machine learning
Elderly
Hospital admission
Online Access:https://doi.org/10.1186/s12911-024-02684-z

Internet

https://doi.org/10.1186/s12911-024-02684-z

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