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Publications

Comparison of Machine Learning Models Including Preoperative, Intraoperative, and Postoperative Data and Mortality After Cardiac Surgery

Mild hypothermia during cardiopulmonary bypass assisted CABG is associated with improved short- and long-term survival, a 18- year cohort study

Deep Learning for Identification of Acute Illness and Facial Cues of Illness

Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations

Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering

Very early creatinine changes and 30-day mortality after cardiac surgery

A Bayesian Network Analysis of the Diagnostic Process and Its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients: Prospective Observational Cohort Study

Acute Kidney Injury Classification Underestimates Long-Term Mortality After Cardiac Valve Operations

Reply: Improving Mortality in Subclinical Acute Kidney Injury After Cardiac Surgery by Composite Biomarker Panel

Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models

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