Automated Free Text Analysis Methodologies for the Total Army Injury and Health Outcomes Database

Abstract

This project investigated how data mining techniques could be applied to the Total Army Injury and Health Outcomes Database (TAIHOD), developed by the U.S. Army Research Institute for Environmental Medicine (USARIEM). In particular, we explored the potential for "information mining", a unique fusion of techniques from data mining with methods for automatically extracting data from the unstructured text reports that often accompany medical records. Data extracted from text may provide useful elements that could contribute to the predictive accuracy of statistical models constructed with data mining techniques.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2001
Accession Number
ADA412722

Entities

People

  • David Jensen

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Accidents
  • Active Duty
  • Algorithms
  • Army Personnel
  • Biomedical Research
  • Classification
  • Data Mining
  • Data Sets
  • Databases
  • Employment
  • Information Retrieval
  • Information Science
  • Military Personnel
  • Personnel Management
  • Pilot Studies
  • Students

Readers

  • Computer Vision.
  • Library and Information Science
  • Mental Health of Military Veterans with Posttraumatic Stress Disorder (PTSD): Risk Factors, Prevalence, Symptoms, and Treatment.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval