To fight fatal infections, hospitals may turn to algorithms
Jenna Wiens, a computer scientist and assistant professor of engineering at U-M, helped create an algorithm to predict a patient’s risk of developing a C-diff infection (CDI), one of the deadliest killers in American hospitals. The algorithm uses a form of artificial intelligence called machine learning to extract warning signs of disease from patients’ vital signs and other health records—constellations of symptoms, circumstances,… Read More »