Validation of a Machine Learning Model for Early Shock Detection
Abstract
The objectives of this study were to test in real time a Trauma Triage, Treatment, and Training Decision Support (4TDS) machine learning (ML) model of shock detection in a prospective silent trial, and to evaluate specificity, sensitivity, and other estimates of diagnostic performance compared to the gold standard of electronic medical records (EMRs) review.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 29, 2021
- Source ID
- 10.1093/milmed/usab220
Entities
People
- Adam Amos-binks
- Brian W Pickering
- Christie S Burris
- Christopher Nemeth
- Gregory Rule
- Isaac Flint
- Marija Bogojevic
- Vitaly Herasevich
- Yuliya Pinevich
Organizations
- Applied Research Associates (United States)
- Mayo Clinic
- United States Army Medical Research and Development Command