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Development of an automated, general-purpose prediction tool for postoperative respiratory failure using machine learning: A retrospective cohort study

Michael E. Kiyatkin, Boudewijn Aasman, Melissa Fazzari, Maíra I. Rudolph, Marcos F. Vidal Melo, Matthias Eikermann, Michelle N. Gong

2023Journal of Clinical Anesthesia16 citationsDOIOpen Access PDF

Topics & Concepts

MedicineReceiver operating characteristicCohortRetrospective cohort studyPerioperativeMetric (unit)Cohort studyRespiratory failureSurgeryMachine learningInternal medicineComputer scienceOperations managementEconomicsRespiratory Support and MechanismsAirway Management and Intubation TechniquesLung Cancer Diagnosis and Treatment
Development of an automated, general-purpose prediction tool for postoperative respiratory failure using machine learning: A retrospective cohort study | Litcius