The problem of accurately predicting the onset of sustained postoperative atrial fibrillation (AF) in patients undergoing coronary artery bypass grafting (CABG) remains open. Investigators have reported many clinical indices currently associated with postoperative AF following CABG. Contemporary machine learning techniques are well-suited to recognizing underlying trends in 'training' data consisting of several labeled examples, […]

The problem of accurately predicting the onset of sustained postoperative atrial fibrillation (AF) in patients undergoing coronary artery bypass grafting (CABG) remains open. Investigators have reported many clinical indices currently associated with postoperative AF following CABG. Contemporary machine learning techniques are well-suited to recognizing underlying trends in ‘training’ data consisting of several labeled examples, and […]