Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach - Desautels, Thomas; Calvert, Jacob; Hoffman, Jana; Jay, Melissa; Kerem, Yaniv; Shieh, Lisa; Shimabukuro, David; Chettipally, Uli; Feldman, Mitchell D; Barton, Chris; Wales, David J; Das, Ritankar (JMIR medical informatics, 2016)
Keywords: Antibiotics; Blood pressure; Datasets; Electronic health records; Heart rate; Infections; Intensive care; Laboratories; Machine learning; Mortality; Original Paper; Patients; Respiration; Sepsis; Vital signs; medical informatics; electronic health records; clinical decision support systems; machine learning; sepsis