March 21, 2024Open Access

Predicting the risk of early intensive care unit admission for patients hospitalized with acute pancreatitis using supervised machine learning

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Abstract

Background Acute pancreatitis (AP) is a complex and life-threatening disease. Early recognition of factors predicting morbidity and mortality is crucial. We aimed to develop and validate a pragmatic model to predict the individualized risk of early intensive care unit (ICU) admission for patients with AP.

Predicting the risk of early intensive care unit admission for patients hospitalized with acute pancreatitis using supervised machine learning

Key Points

Abstract

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