Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy.

ABSTRACT:

Introduction

Alzheimer's disease (AD) prevalence is increasing, with no current cure. Natural language processing (NLP) offers the potential for non-invasive diagnostics, social burden assessment, and research advancements in AD.

Method

A systematic review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines explored NLP applications in AD, focusing on dataset types, sources, research foci, methods, and effectiveness. Searches were conducted across six databases (ACM, Embase, IEEE, PubMed, Scopus, and Web of Science) from January 2020 to July 2024.

Results

Of 1740 records, 79 studies were selected. Frequently used datasets included speech and electronic health records (EHR), along with social media and scientific publications. Machine le

SUBMITTER: Shakeri A 

PROVIDER: S-EPMC11812127 | biostudies-literature | 2025 Jan-Mar

REPOSITORIES: biostudies-literature