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Paper Details

Toward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft: Improving Risk Prediction With Intraoperative Events Using Gradient Boosting.
Circ Cardiovasc Qual Outcomes
6
2021
coronary, intraoperative variables, patient, patients, renal failure, women
Adult, Aged, Cardiac Surgical Procedures, Coronary Artery Bypass, Female, Humans, Logistic Models, Postoperative Complications, Risk Assessment, Risk Factors
Author NameAffiliation
Makoto MoriCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Makoto MoriYale University School of Medicine
Thomas J S DurantCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Thomas J S DurantYale University School of Medicine
Chenxi HuangCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Chenxi HuangYale School of Medicine
Bobak J MortazaviCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Bobak J MortazaviTexas A&M University, College Station (B.J.M).
Bobak J MortazaviCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Bobak J MortazaviTexas A&M University, College Station (B.J.M).
Andreas CoppiCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Andreas CoppiYale University School of Medicine
Andreas CoppiYale School of Medicine
Raymond A JeanCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Wade Schulz (CM4AI)Center for Outcomes Research and Evaluation, Yale New Haven Hospital
Wade Schulz (CM4AI)Yale University School of Medicine
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Harlan M KrumholzYale School of Medicine
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale New Haven Hospital
Harlan M KrumholzYale School of Medicine
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