De-Lin Xu

Development and validation of an interpretable machine-learning model for predicting treatment failure in severe trauma patients

Objective This study aims to develop and validate machine learning (ML) models for predicting treatment failure in trauma patients using comprehensive clinical and laboratory variables, and to identify key prognostic features. Methods A retrospective cohort of 318 trauma patients was included. We included 44 characteri...