A Machine Learning Approach in Predicting Mortality Following Emergency General Surgery.

Journal: The American surgeon
Published Date:

Abstract

BACKGROUND: There is a significant mortality burden associated with emergency general surgery (EGS) procedures. The objective of this study was to develop and validate the use of a machine learning approach to predict mortality following EGS.

Authors

  • Jeff Gao
    Department of Surgery, Rutgers New Jersey Medical School, Newark, New Jersey.
  • Aziz M Merchant
    Department of Surgery, Rutgers New Jersey Medical School, Newark, New Jersey. Electronic address: Aziz.merchant@rutgers.edu.