Identifying clinical phenotypes of frontotemporal dementia in post-9/11 era veterans using natural language processing.

ABSTRACT:

Introduction

Frontotemporal dementia (FTD) encompasses a clinically and pathologically diverse group of neurodegenerative disorders, yet little work has quantified the unique phenotypic clinical presentations of FTD among post-9/11 era veterans. To identify phenotypes of FTD using natural language processing (NLP) aided medical chart reviews of post-9/11 era U.S. military Veterans diagnosed with FTD in Veterans Health Administration care.

Methods

A medical record chart review of clinician/provider notes was conducted using a Natural Language Processing (NLP) tool, which extracted features related to cognitive dysfunction. NLP features were further organized into seven Research Domain Criteria Initiative (RDoC) domains, which were clustered to identify distinct phenotypes.

SUBMITTER: Panahi S 

PROVIDER: S-EPMC10902457 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature