Development and validation of a machine learning predictive model for perioperative myocardial injury in cardiac surgery with cardiopulmonary bypass - Li, Qian; Lv, Hong; Chen, Yuye; Shen, Jingjia; shi, Jia; Zhou, Chenghui (Journal of cardiothoracic surgery, 2024)
Keywords: Adolescent; Adult; Aged; Algorithms; Analysis; Aorta; Biomarkers; Body mass index; Body size; Body temperature; Brain; Bypass; C-reactive protein; Calibration; Cardiac Surgery; Cardiac Surgical Procedures - adverse effects; Cardiopulmonary Bypass - adverse effects; China - epidemiology; Coronary artery bypass; Datasets; Demographics; Female; Heart; Heart surgery; Hemoglobin; Hospitals; Humans; Informed consent; Kinases; Learning algorithms; Leukocytes (neutrophilic); Logistic regression; Machine Learning; Male; Medical history; Medicine; Medicine & Public Health; Middle Aged; Neutrophils; Patients; Peptides; Perioperative myocardial injury; Postoperative Complications - diagnosis; Postoperative Complications - epidemiology; Prediction models; Predictions; Proteins; Python; Regression analysis; Retrospective Studies; Risk Assessment - methods; Risk factors; Sensitivity; Sodium; Software; Surgery; Thoracic Surgery; Troponin I; Young Adult; China; Beijing China; Logistic regression; Perioperative myocardial injury; Cardiac surgery; Machine learning