Machine learning identifies novel markers predicting functional decline in older adults.

ABSTRACT: The ability to carry out instrumental activities of daily living, such as paying bills, remembering appointments and shopping alone decreases with age, yet there are remarkable individual differences in the rate of decline among older adults. Understanding variables associated with a decline in instrumental activities of daily living is critical to providing appropriate intervention to prolong independence. Prior research suggests that cognitive measures, neuroimaging and fluid-based biomarkers predict functional decline. However, a priori selection of variables can lead to the over-valuation of certain variables and exclusion of others that may be predictive. In this study, we used machine learning techniques to select a wide range of baseline variables that best predicted function

SUBMITTER: Valerio KE 

PROVIDER: S-EPMC8286801 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature