Predictors of the rate of cognitive decline in older adults using machine learning.

ABSTRACT:

Background

The longitudinal rates of cognitive decline among aging populations are heterogeneous. Few studies have investigated the possibility of implementing prognostic models to predict cognitive changes with the combination of categorical and continuous data from multiple domains.

Objective

Implement a multivariate robust model to predict longitudinal cognitive changes over 12 years among older adults and to identify the most significant predictors of cognitive changes using machine learning techniques.

Method

In total, data of 2733 participants aged 50-85 years from the English Longitudinal Study of Ageing are included. Two categories of cognitive changes were determined including minor cognitive decliners (2361 participants, 86.4%) and major cognitive decliners

SUBMITTER: Ahmadzadeh M 

PROVIDER: S-EPMC9983884 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature