Interpretable machine learning models to predict decline in intrinsic capacity among older adults in China: a prospective cohort study.
Abstract
Monitoring intrinsic capacity and implementing appropriate interventions can support healthy aging. There are, though, few tools available for predicting decline in intrinsic capacity among older adults. This study aimed to develop and validate an interpretable machine learning model designed to identify populations at elevated risk of a decline in intrinsic capacity.
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Research summary
The paper claims to develop and validate an interpretable machine learning model to predict decline in intrinsic capacity among older adults. This research is relevant as it addresses the monitoring of intrinsic capacity, which is a key aspect of healthy aging and longevity.
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