Use of Stratified Cascade Learning to predict hospitalization risk with only socioeconomic factors.

Journal: Journal of biomedical informatics
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: Published models predicting health related outcomes rely on clinical, claims and social determinants of health (SDH) data. Addressing the challenge of predicting with only SDH we developed a novel framework termed Stratified Cascade Learning (SCL) and used it for predicting the risk of hospitalization (ROH).

Authors

  • Anton Filikov
    IBM Watson Health, 75 Binney St, Cambridge, MA 02142, USA. Electronic address: anton.filikov@ibm.com.
  • Sayali Pethe
    IBM Watson Health, 75 Binney St, Cambridge, MA 02142, USA.
  • Robert Kelley
    IBM Watson Health, 100 Phoenix Dr, Ann Arbor, MI 48108, USA.
  • Anne Fischer
    IBM Watson Health, 100 Phoenix Dr, Ann Arbor, MI 48108, USA.
  • Ron Ozminkowski
    IBM Watson Health, 100 Phoenix Dr, Ann Arbor, MI 48108, USA.