A novel machine learning-assisted clinical diagnosis support model for early identification of pancreatic injuries in patients with blunt abdominal trauma: a cross-national study
Abstract:BackgroundThe recognition of pancreatic injury in blunt abdominal trauma is often severely delayed in clinical practice. The aim of this study was to develop a machine learning model to support clinical diagnosis for early detection of abdominal trauma.MethodsWe retrospectively analyzed of a large intensive care unit database (Medical Information Mart for Intensive Care [MIMIC]-IV) for model development and internal validation of the model, and performed outer validation based on a cross-national data set. Log… Show more
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