A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's Disease.

ABSTRACT: Introduction: The goal of this study was to investigate and compare the classification performance of machine learning with behavioral data from standard neuropsychological tests, a cognitive task, or both. Methods: A neuropsychological battery and a simple 5-min cognitive task were administered to eight individuals with mild cognitive impairment (MCI), eight individuals with mild Alzheimer's disease (AD), and 41 demographically match controls (CN). A fully connected multilayer perceptron (MLP) network and four supervised traditional machine learning algorithms were used. Results: Traditional machine learning algorithms achieved similar classification performances with neuropsychological or cognitive data. MLP outperformed traditional algorithms with the cognitive data

SUBMITTER: Almubark I 

PROVIDER: S-EPMC7744695 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature