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

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

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 evaluat...

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Main Authors: Takeshi Tohyama, MD, PhD, Liam G. McCoy, MD, MSc, Euma Ishii, MD, PhD, Sahil Sood, Jesse Raffa, PhD, Takahiro Kinoshita, MD, MPH, Leo Anthony Celi, MD, MPH, MSc, Satoru Hashimoto, MD, PhD
Format: Article
Language:English
Published: Wolters Kluwer 2025-06-01
Series:Critical Care Explorations
Online Access:http://journals.lww.com/10.1097/CCE.0000000000001275
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http://journals.lww.com/10.1097/CCE.0000000000001275

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