A Machine Learning Approach to Management of Heart Failure Populations.

Journal: JACC. Heart failure
Published Date:

Abstract

BACKGROUND: Heart failure is a prevalent, costly disease for which new value-based payment models demand optimized population management strategies.

Authors

  • Linyuan Jing
    Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania.
  • Alvaro E Ulloa Cerna
    Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA.
  • Christopher W Good
    Department of Cardiology, Geisinger, Danville, Pennsylvania.
  • Nathan M Sauers
    Center for Pharmacy Innovation and Outcomes, Geisinger, Danville, Pennsylvania.
  • Gargi Schneider
    Department of Medicine, Geisinger, Danville, Pennsylvania.
  • Dustin N Hartzel
    Phenomic Analytics and Clinical Data Core, Geisinger, Danville, PA, USA.
  • Joseph B Leader
    Phenomic Analytics and Clinical Data Core, Geisinger, Danville, PA, USA.
  • H Lester Kirchner
    Department of Population Health Sciences, Geisinger, Danville, PA, USA.
  • Yirui Hu
    Department of Population Health Sciences, Geisinger, Danville, Pennsylvania.
  • David M Riviello
    Steele Institute for Health Innovation, Geisinger, Danville, Pennsylvania.
  • Joshua V Stough
    Department of Translational Data Science and Informatics, Geisinger, Danville, Pennsylvania; Department of Computer Science, Bucknell University, Lewisburg, Pennsylvania.
  • Seth Gazes
    Center for Pharmacy Innovation and Outcomes, Geisinger, Danville, Pennsylvania.
  • Allyson Haggerty
    Department of Translational Data Science and Informatics, Geisinger, Danville, Pennsylvania.
  • Sushravya Raghunath
    Department of Translational Data Science and Informatics, Geisinger, Danville, PA, USA.
  • Brendan J Carry
    Heart Institute, Geisinger, Danville, Pennsylvania.
  • Christopher M Haggerty
    IT Data Science, NewYork-Presbyterian Hospital, New York, New York, USA.
  • Brandon K Fornwalt
    Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania; Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky; Department of Radiology, Geisinger, Danville, Pennsylvania. Electronic address: bkf@gatech.edu.