An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients

An interpretable SVM-based machine learning model was developed and validated for early prediction of E. coli infection in ICU patients, demonstrating good discrimination, calibration, and potential clinical benefit. The associated online tool provides transparent, individualized risk predictions and may facilitate timely clinical decision-making.