Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment.

ABSTRACT:

Purpose

Amnestic mild cognitive impairment (aMCI) is a transitional state between normal aging and Alzheimer's disease (AD). However, not all aMCI patients are observed to convert to AD dementia. Therefore, developing a predictive algorithm for the conversion of aMCI to AD dementia is important. Parametric methods, such as logistic regression, have been developed; however, it is difficult to reflect complex patterns, such as non-linear relationships and interactions between variables. Therefore, this study aimed to improve the predictive power of aMCI patients' conversion to dementia by using an interpretable machine learning (IML) algorithm and to identify the factors that increase the risk of individual conversion to dementia in each patient.

Methods

We prospectively recru

SUBMITTER: Chun MY 

PROVIDER: S-EPMC9389270 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature