Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study.

ABSTRACT:

Background

In the older general population, neurodegenerative diseases (NDs) are associated with increased disability, decreased physical and cognitive function. Detecting risk factors can help implement prevention measures. Using deep neural networks (DNNs), a machine-learning algorithm could be an alternative to Cox regression in tabular datasets with many predictive features. We aimed to compare the performance of different types of DNNs with regularized Cox proportional hazards models to predict NDs in the older general population.

Methods

We performed a longitudinal analysis with participants of the English Longitudinal Study of Ageing. We included men and women with no NDs at baseline, aged 60 years and older, assessed every 2 years from 2004 to 2005 (wave2) to 2016-20

SUBMITTER: Aguayo GA 

PROVIDER: S-EPMC9832793 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature