Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction.

Journal: JAMA cardiology
Published Date:

Abstract

IMPORTANCE: Accurate prediction of adverse outcomes after acute myocardial infarction (AMI) can guide the triage of care services and shared decision-making, and novel methods hold promise for using existing data to generate additional insights.

Authors

  • Rohan Khera
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Julian Haimovich
    Department of Internal Medicine, Massachusetts General Hospital, Boston.
  • Nathan C Hurley
    Texas A&M University, USA.
  • Robert McNamara
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
  • John A Spertus
    Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, United States of America.
  • Nihar Desai
  • John S Rumsfeld
    From the Department of Veterans Affairs' Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (P.W.G.); Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, Leonard Davis Institute of Health Economics, and Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia (P.W.G.); University of Colorado School of Medicine, Aurora, CO (J.S.R.); Veterans Affairs Eastern Colorado Health System, Denver (J.S.R.); and American College of Cardiology, Washington, DC (J.S.R.).
  • Frederick A Masoudi
    Division of Cardiology, School of Medicine, University of Colorado, Aurora, Colorado, United States of America.
  • Chenxi Huang
    Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Sharon-Lise Normand
    Department of Health Care Policy, Harvard Medical School, Boston, MA, United States.
  • Bobak J Mortazavi
    Texas A&M University, USA.
  • Harlan M Krumholz
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.