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OCTOBER 15, 2024

Machine Learning Can Aid in Sepsis Identification


Originally published by our sister publication Anesthesiology News

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By Ethan Covey

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