A novel, integer-based machine learning model may help in early diagnosis of in-hospital sepsis, thereby reducing patient morbidity and mortality, according to abstract P-81.
“Sepsis has long resulted in high mortality, and the earlier you can start antibiotics the more you can decrease mortality of the patient,” said lead study author Kelvin Kan, MD, a resident in the Department of Anesthesiology at the University of Utah, in Salt Lake City.
Due to the detrimental effects of sepsis,