Development and Validation of a Machine Learning Prediction Model of Posttraumatic Stress Disorder After Military Deployment
Abstract
Military deployment involves significant risk for life-threatening experiences that can lead to posttraumatic stress disorder (PTSD). Accurate predeployment prediction of PTSD risk may facilitate the development of targeted intervention strategies to enhance resilience.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jun 30, 2023
- Source ID
- 10.1001/jamanetworkopen.2023.21273
Entities
People
- Feng He
- Laura Campbell-Sills
- Murray B. Stein
- Robert Ursano
- Ronald C Kessler
- Santiago Papini
- Sonia Jain
- Sonya B Norman
- Xiaoying Sun
Organizations
- Harvard Medical School
- National Center for Post Traumatic Stress Disorder
- Uniformed Services University of the Health Sciences
- United States Department of Veterans Affairs
- University of California, San Diego