Applying Machine Learning Algorithms to Segment High-Cost Patient Populations.

Journal: Journal of general internal medicine
PMID:

Abstract

BACKGROUND: Efforts to improve the value of care for high-cost patients may benefit from care management strategies targeted at clinically distinct subgroups of patients.

Authors

  • Jiali Yan
    Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Kristin A Linn
    Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: klinn@upenn.edu.
  • Brian W Powers
    Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Jingsan Zhu
    Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, 1108 Blockley Hall, Philadelphia, PA, 19104, USA.
  • Sachin H Jain
    CareMore Health System, Cerritos, CA, USA.
  • Jennifer L Kowalski
    Anthem Public Policy Institute, Washington, DC, USA.
  • Amol S Navathe
    Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.