Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention.

Journal: JAMA network open
PMID: 31290991

Abstract

IMPORTANCE: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may improve clinical decisions aimed to reduce bleeding risk. Machine learning techniques, bolstered by better selection of variables, hold promise for enhancing prediction.

Authors

  • Bobak J Mortazavi
    Texas A&M University, USA.
  • Emily M Bucholz
    From the Section of Cardiovascular Medicine, Department of Internal Medicine (B.J.M., N.S.D., E.M.B., K.D., H.M.K.), Department of Psychiatry and the Section of General Medicine, Department of Internal Medicine (A.M.), and Robert Wood Johnson Foundation Clinical Scholars Program, Department of Internal Medicine, Yale School of Medicine, and Department of Health Policy and Management (H.M.K.), Yale School of Public Health, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (B.J.M., N.S.D., E.M.B., K.D., S.-X.L., H.M.K.); and Department of Statistics, Yale University, New Haven, CT (B.J.M., S.N.N.).
  • Nihar R Desai
    Section of Cardiovascular Medicine and Center for Outcomes Research, Yale University School of Medicine New Haven, CT.
  • Chenxi Huang
    Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Jeptha P Curtis
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
  • Frederick A Masoudi
    Division of Cardiology, School of Medicine, University of Colorado, Aurora, Colorado, United States of America.
  • Richard E Shaw
    Division of Cardiology, Department of Medicine, California Pacific Medical Center, Sutter Health, San Francisco.
  • Sahand N Negahban
    From the Section of Cardiovascular Medicine, Department of Internal Medicine (B.J.M., N.S.D., E.M.B., K.D., H.M.K.), Department of Psychiatry and the Section of General Medicine, Department of Internal Medicine (A.M.), and Robert Wood Johnson Foundation Clinical Scholars Program, Department of Internal Medicine, Yale School of Medicine, and Department of Health Policy and Management (H.M.K.), Yale School of Public Health, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (B.J.M., N.S.D., E.M.B., K.D., S.-X.L., H.M.K.); and Department of Statistics, Yale University, New Haven, CT (B.J.M., S.N.N.).
  • Harlan M Krumholz
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.

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