Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery
Roshan Karri, Andrew Kawai, Yoke Jia Thong, Dhruvesh M. Ramson, Luke A. Perry, Reny Segal, Julian A. Smith, Jahan C. Penny‐Dimri
Topics & Concepts
Intensive care unitAtrial fibrillationReceiver operating characteristicMedicineLogistic regressionMachine learningRandom forestSupport vector machineCardiac surgeryArtificial intelligenceDecision treeArea under the curveInternal medicineCardiologyComputer scienceSepsis Diagnosis and TreatmentMachine Learning in HealthcareCardiac, Anesthesia and Surgical Outcomes