A comparison of a decision tree induction algorithm with the ACS guidelines for trauma triage
Related Experiment Video
Updated: Jul 2, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Steve Talbert1, Douglas A Talbert
1School of Nursing, University of Central Florida, Orlando, FL, USA.
Abstract:
Triage is a key component of trauma care. Unfortunately, mistriage rates remain high. Machine learning techniques have the potential to improve triage. Our experiment showed that while decision tree induction was as accurate as the most widely accepted trauma triage guidelines, they performed differently with respect to over- and undertriage.
Related Concept Videos
Acute Coronary Syndrome I: Introduction
Cardiopulmonary Resuscitation IV: Pharmacological Management
Acute Coronary Syndrome IV: Interprofessional Care
Survival Tree
Building a Survival Tree
Constructing a survival tree begins...
Cardiopulmonary Resuscitation III: AED Use