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What is Explainable ML Model for IPN Mortality about?

This study developed and validated an explainable machine learning model for predicting 90-day mortality in patients with infected pancreatic necrosis (IPN), utilizing data from 344 patients in a prospective cohort and 132 patients in an external validation cohort. The Random Survival Forest model demonstrated superior predictive performance, with key features including multiple organ failure and specific scoring criteria identified as significant predictors of mortality. Two interactive web-based tools wer

Author

liuannie479

Language

EN