Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients.

ABSTRACT:

Importance

Machine learning algorithms could be used as the basis for clinical decision-making aids to enhance clinical practice.

Objective

To assess the ability of machine learning algorithms to predict dementia incidence within 2 years compared with existing models and determine the optimal analytic approach and number of variables required.

Design, setting, and participants

This prognostic study used data from a prospective cohort of 15 307 participants without dementia at baseline to perform a secondary analysis of factors that could be used to predict dementia incidence. Participants attended National Alzheimer Coordinating Center memory clinics across the United States between 2005 and 2015. Analyses were conducted from March to May 2021.

Exposures

258 va

SUBMITTER: James C 

PROVIDER: S-EPMC8678688 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature