Prediction of hospitalization due to heart diseases by supervised learning methods.

Journal: International journal of medical informatics
Published Date:

Abstract

BACKGROUND: In 2008, the United States spent $2.2 trillion for healthcare, which was 15.5% of its GDP. 31% of this expenditure is attributed to hospital care. Evidently, even modest reductions in hospital care costs matter. A 2009 study showed that nearly $30.8 billion in hospital care cost during 2006 was potentially preventable, with heart diseases being responsible for about 31% of that amount.

Authors

  • Wuyang Dai
    Center for Information and Systems Engineering, Boston University, Boston, MA 02215 USA.
  • Theodora S Brisimi
    Center for Information and Systems Engineering, Boston University, Boston, MA 02215 USA.
  • William G Adams
    Boston Medical Center, 850 Harrison Avenue 5th Floor, Boston, MA 02118.
  • Theofanie Mela
    Electrophysiology Lab/Arrhythmia Service, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, United States.
  • Venkatesh Saligrama
    Department of Electrical & Computer Engineering, and Division of Systems Engineering, Boston University, 8 Saint Mary's Street, Boston, MA 02215, United States.
  • Ioannis Ch Paschalidis
    Department of Electrical and Computer Engineering and Division of Systems Engineering, Boston University, Boston, MA.