"I don't know": An uncertainty-aware machine learning model for predicting patient disposition at emergency department triage.

Journal: International journal of medical informatics
Published Date: Apr 28, 2025

Abstract

BACKGROUND: Machine learning (ML) models are widely used for predicting patient disposition at emergency department (ED) triage. However, these models generate predictions regardless of the level of uncertainty, potentially leading to overconfident outputs that can compromise clinical decision-making.

Authors

  • Abubakar Sadiq Bouda Abdulai
    Data Strategy Workgroup, Quality Insights Inc., 3001 Chesterfield Ave, Charleston WV 25311, USA. Electronic address: sabdulai@qualityinsights.org.
  • Jean Storm
    Quality Insights, Inc., 3001 Chesterfield Ave, Charleston, WV 25311, USA. Electronic address: jstorm@qualityinsights.org.
  • Michael Ehrlich
    Martin Tuchman School of Management, New Jersey Institute of Technology, 323 Dr Martin Luther King Jr Blvd, Newark, NJ 07102, USA. Electronic address: ehrlich@njit.edu.

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