Journal of cardiothoracic and vascular anesthesia
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J. Cardiothorac. Vasc. Anesth. · Mar 2023
Machine Learning Models of Postoperative Atrial Fibrillation Prediction After Cardiac Surgery.
This study aimed to use machine learning algorithms to build an efficient forecasting model of atrial fibrillation after cardiac surgery, and to compare the predictive performance of machine learning to traditional logistic regression. ⋯ In the authors' study, the support-vector machine model was the best predictor; it may be an effective tool for predicting atrial fibrillation after cardiac surgery.
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J. Cardiothorac. Vasc. Anesth. · Mar 2023
Erratum to "Optimal Surveillance Regimen to Identify Cancer Recurrence after Esophagectomy: Surveillance Imaging or History and Physical Examination? An Anesthesiologist's Point of View" [Journal of Cardiothoracic and Vascular Anesthesia 36 (2022) 4241-4244].