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Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm

Gabriel Wardi, Morgan Carlile, Andre L. Holder, Supreeth P. Shashikumar, Stephen R. Hayden, Shamim Nemati

2021Annals of Emergency Medicine106 citationsDOIOpen Access PDF

Topics & Concepts

Generalizability theoryTriageMedicineSeptic shockEmergency departmentSepsisMachine learningArtificial intelligenceReceiver operating characteristicShock (circulatory)AlgorithmEmergency medicineComputer scienceSurgeryInternal medicineStatisticsPsychiatryMathematicsSepsis Diagnosis and TreatmentMachine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm | Litcius