Robert Locklear: Machine learning may help in early identification of severe sepsis

Thursday, May 25, 2017

Machine learning may help in early identification of severe sepsis

A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a new study. Sepsis is an extreme systemic response to infection, which can be life-threatening in its advanced stages of severe sepsis and septic shock, if left untreated.