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Machine learning models for identifying pre-frailty in community dwelling older adults

Abstract Background There is increasing evidence that pre-frailty manifests as early as middle age. Understanding the factors contributing to an early trajectory from good health to pre-frailty in middle aged and older adults is needed to inform timely preventive primary care interventions to mitiga...

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Principais autores: Shelda Sajeev, Stephanie Champion, Anthony Maeder, Susan Gordon
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2022-10-01
Serier:BMC Geriatrics
Fag:
Aged
Machine Learning
Elderly
Frailty/diagnosis
Geriatric Assessment
Pre-frailty
Online adgang:https://doi.org/10.1186/s12877-022-03475-9
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