Creating a definition for Gulf War Illness using advanced data analysis techniques

Constructing a Clinical Gulf War Illness (GWI) Case Definition Using Natural Language Processing and Advanced Machine Learning Algorithms

['FUNDING_OTHER'] · MICHAEL E DEBAKEY VA MEDICAL CENTER · NIH-10927693

This study is working to create a better definition of Gulf War Illness by looking at health data from veterans' medical records, so that we can help improve how this condition is diagnosed and treated for those who are affected.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorMICHAEL E DEBAKEY VA MEDICAL CENTER (nih funded)
Locations1 site (HOUSTON, UNITED STATES)
Trial IDNIH-10927693 on ClinicalTrials.gov

What this research studies

This research aims to develop a clear case definition for Gulf War Illness (GWI) by utilizing advanced data science methods, particularly focusing on the information available in electronic medical records (EMR) of veterans. It addresses the challenges of previous definitions that relied solely on self-reported symptoms, which can be biased and variable among individuals. By incorporating a broader range of health data, the study seeks to create a more accurate and universally accepted definition of GWI, which affects a significant number of veterans. This could lead to improved diagnosis and treatment options for those suffering from this complex condition.

Who could benefit from this research

Good fit: Ideal candidates for this research are veterans who served in the Gulf War and are experiencing symptoms consistent with Gulf War Illness.

Not a fit: Patients who did not serve in the Gulf War or do not exhibit symptoms related to Gulf War Illness may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate diagnoses and better-targeted treatments for veterans suffering from Gulf War Illness.

How similar studies have performed: Previous research efforts to define Gulf War Illness have faced challenges, but this approach utilizing EMR data represents a novel and potentially more effective method.

Where this research is happening

HOUSTON, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.