Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model.

Journal: Critical care explorations
Published Date: Jun 4, 2025

Abstract

BACKGROUND: Risk-prediction models are widely used for quality of care evaluations, resource management, and patient stratification in research. While established models have long been used for risk prediction, healthcare has evolved significantly, and the optimal model must be selected for evaluation in line with contemporary healthcare settings and regional considerations.

Authors

  • Takeshi Tohyama
    Center for Clinical and Translational Research of Kyushu University Hospital, Higashi-ku, Fukuoka-shi, Fukuoka, Japan.
  • Liam G McCoy
    Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Euma Ishii
    Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan.
  • Sahil Sood
    Harvard University, Cambridge, MA.
  • Jesse Raffa
    MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, Massachusetts, United States.
  • Takahiro Kinoshita
    Department of Gastric Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
  • Leo Anthony Celi
    Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Satoru Hashimoto
    Division of Applied Chemistry, Faculty of Science and Technology, Oita University Graduate School of Engineering, 700, Dan-noharu, Oita 870-1124, Japan. tinoue@oita-u.ac.jp.

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