Frontotemporal Dementia: Military Exposures and Disease Characteristics (FTD-MEDIC)

Abstract

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. The objective of this study was 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. In this study, we found that FTD presents across a continuum of severity and symptom distress, both within and across variants. The intensity of distress evident in clinical notes tends to cluster with more co-occurring conditions. This examination of phenotypic heterogeneity in clinical notes indicates that sensitivity to FTD diagnosis may be correlated to overall symptom distress, and future work incorporating NLP and phenotyping may help promote strategies for early detection of FTD.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1215413

Entities

People

  • Jamie N Mayo

Organizations

  • University of Utah

Tags

DTIC Thesaurus Topics

  • Anxiety Disorders
  • Artificial Intelligence
  • Biomedical Research
  • Brain
  • Brain Injuries
  • Dementia
  • Dimensionality Reduction
  • Diseases
  • Health Services
  • Machine Learning
  • Medical Personnel
  • Military Personnel
  • Natural Language Processing
  • Natural Languages
  • Ontologies
  • Training
  • Traumatic Stress Disorder

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Technology Areas

  • AI & ML
  • AI & ML - Machine Translation