Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis
Roy J. Adams, Katharine E. Henry, Anirudh Sridharan, Hossein Soleimani, Andong Zhan, Nishi Rawat, Lauren Johnson, David N. Hager, Sara E. Cosgrove, Andrew Markowski, Eili Klein, Edward S. Chen, Mustapha Saheed, Maureen Henley, Sheila Miranda, Katrina Houston, Robert C. Linton, Anushree R. Ahluwalia, Albert W. Wu, Suchi Saria
Topics & Concepts
SepsisWarning systemProspective cohort studyMedicineEarly warning systemIntensive care medicineMedical emergencyEmergency medicineComputer scienceMachine learningInternal medicineTelecommunicationsSepsis Diagnosis and TreatmentMachine Learning in HealthcareClinical Reasoning and Diagnostic Skills