Machine learning for outcome predictions of patients with trauma during emergency department care.

Journal: BMJ health & care informatics
Published Date:

Abstract

OBJECTIVES: To develop and evaluate a machine learning model for predicting patient with trauma mortality within the US emergency departments.

Authors

  • Joshua David Cardosi
    Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, Ohio, USA.
  • Herman Shen
    Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, Ohio, USA shen.1@osu.edu.
  • Jonathan I Groner
    Center for Pediatric Trauma Research and Center for Injury Research and Policy, Nationwide Children's Hospital, Columbus, Ohio, USA.
  • Megan Armstrong
    Center for Pediatric Trauma Research and Center for Injury Research and Policy, Nationwide Children's Hospital, Columbus, Ohio, USA.
  • Henry Xiang
    Center for Injury Research and Policy and Center for Pediatric Trauma Research, The Research Institute at Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, Ohio.