Machine learning for the early prediction of 28-day mortality in patients with sepsis in the ICU based on MIMIC-Ⅳ database
Sepsis triggers a life-threatening organ dysfunction due to infection that contributes to high mortality. We aim to develop a machine-learning model based on Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) 2.2 database for predicting 28-day mortality in patients with sepsis in the intensive care unit (ICU). The...