Prospective internal validation of an XGBoost-based machine learning model for sepsis prediction in patients with prolonged ICU stays
Introduction: to prospectively validate a previously developed machine learning model for predicting sepsis onset in this patient population. Methods: Prospective validation was conducted in accordance with TRIPOD+AI recommendations using data from the Russian Intensive Care Dataset (RICD v3.0). The XGBoost-based mode...