The Importance of Age in the Prediction of Mortality by a Frailty Index: A Machine Learning Approach in the Irish Longitudinal Study on Ageing

The Importance of Age in the Prediction of Mortality by a Frailty Index: A Machine Learning Approach in the Irish Longitudinal Study on Ageing

The quantification of biological age in humans is an important scientific endeavor in the face of ageing populations. The frailty index (FI) methodology is based on the accumulation of health deficits and captures variations in health status within individuals of the same age. The aims of this study...

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Bibliographic Details
Main Authors: Sebastian Moguilner, Silvin P. Knight, James R. C. Davis, Aisling M. O’Halloran, Rose Anne Kenny, Roman Romero-Ortuno
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Geriatrics
Subjects:
frailty
age distribution
longitudinal studies
mortality
supervised machine learning
sex differences
Online Access:https://www.mdpi.com/2308-3417/6/3/84

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