Predicting Incident Heart Failure in Women With Machine Learning: The Women's Health Initiative Cohort.

Journal: The Canadian journal of cardiology
PMID:

Abstract

BACKGROUND: Heart failure (HF) is a leading cause of cardiac morbidity among women, whose risk factors differ from those in men. We used machine-learning approaches to develop risk- prediction models for incident HF in a cohort of postmenopausal women from the Women's Health Initiative (WHI).

Authors

  • Geoffrey H Tison
    Department of Medicine (G.H.T., M.H.L., E.F., M.A.A., C.J., K.E.F., R.C.D.).
  • Robert Avram
    Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, Montreal, QC H1T 1C8, Canada. Electronic address: robert.avram.md@gmail.com.
  • Gregory Nah
    Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Liviu Klein
    From the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta (O.T.I., M.B.P., A.Q.J., A.D., A.O.B.); Division of Cardiology (S.D., T.D.M., L.K.) and Department of Bioengineering and Therapeutic Sciences (S.R.), University of California, San Francisco; and Department of Anesthesiology and Department of Biomedical Engineering, Northwestern University, Chicago, IL (M.E., J.A.H.).
  • Barbara V Howard
    Medstar Health Research Institute and Georgetown/Howard Universities Center for Clinical and Translational Research, Washington DC, USA.
  • Matthew A Allison
    Division of Preventive Medicine, Department of Family Medicine and Public Health, School of Medicine, University of California San Diego, La Jolla, Calif.
  • Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Rachael H Blair
    State University of New York at Buffalo, Buffalo, New York, USA.
  • Khadijah Breathett
    Division of Cardiovascular Medicine, Department of Medicine, University of Arizona, Tucson Arizona, USA.
  • Randi E Foraker
    Institute for Informatics (I2), Washington University School of Medicine, St. Louis, MO, United States.
  • Jeffrey E Olgin
    Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California.
  • Nisha I Parikh
    Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, California, USA.