Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree

Medicine (Baltimore). 2021 May 14;100(19):e25813. doi: 10.1097/MD.0000000000025813. ABSTRACT Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can reduce the overall mortality rate and cost of sepsis treatment. Some studies have predicted mortality and development of sepsis using machine learning models. However, there is a gap between the […]