Recent publication on machine learning for predicting bacteremia

In a collaboration between the Sections for Artificial Intelligence and Decision Support and for Clinical Biometrics and the Department of Laboratory Medicine, a team of researchers has recently evaluated the effectiveness of machine learning strategies to identify bacteremia in patients affected by systemic inflammatory response syndrome (SIRS). Their study, published in Scientific Reports, came to the conclusion that machine learning methods could not achieve better accuracy than current diagnostic techniques. Read more …