Language Patterns in Japanese Patients with Alzheimer Disease: A Machine Learning Approach.

This study demonstrated a promising level of accuracy for predicting Alzheimer disease and found the language patterns corresponding to the type of lexical-semantic decline known as "empty speech," which is regarded as a characteristic of Alzheimer disease. This article is protected by copyright. All rights reserved.