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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Bibliographic Details

Published in:	BMC Geriatrics
Main Authors:	Shelda Sajeev, Stephanie Champion, Anthony Maeder, Susan Gordon
Format:	Article
Language:	English
Published:	BMC 2022-10-01
Subjects:	Aged Machine Learning Elderly Frailty/diagnosis Geriatric Assessment Pre-frailty
Online Access:	https://doi.org/10.1186/s12877-022-03475-9