Development and External Validation of a Machine Learning-Based Simplified Injury Severity Score for Improved Trauma Mortality Prediction.

Michael D Cobler-Lichter¹, Ana M Reyes¹, Jessica M Delamater¹, Talia R Arcieri¹, Jonathan P Meizoso¹, Carl I Schulman¹, Brandon M Parker¹, Kenneth G Proctor¹, Tyler J Loftus², Nicholas Namias¹

¹. Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, Miami, FL.

². Department of Surgery, University of Florida Health, Gainesville, FL.

PubMed DOI

Abstract

BACKGROUND: Trauma quality improvement requires timely, accurate injury severity quantification. Injury Severity Score (ISS), the standard measure, is typically calculated after discharge, requires manual abstraction of Abbreviated Injury Scale scores, and excludes physiologic information. We hypothesized that a machine learning (ML)-based severity score using early clinical variables would improv…

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