"Because early detection and rapid intervention is essential in cases of sepsis, machine-learning tools like this offer the potential to improve clinical outcomes in these infants," said first author Aaron J. Masino, PhD, who led the study team's machine-learning efforts. Masino is an assistant professor in the Department of Anesthesiology and Critical Care Medicine and a member of the Department of Biomedical and Health Informatics at Children's Hospital of Philadelphia (CHOP). "Follow-up clinical studies will allow researchers to evaluate how well such systems perform in a hospital setting." - https://www.sciencedaily.com/releases/2019/02/190228154854.htm