Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31442, first published .
Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data

Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data

Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data

Raghav Ramachandran   1 , PhD ;   Michael J McShea   1 , MSc ;   Stephanie N Howson   1 , MSc ;   Howard S Burkom   1 , PhD ;   Hsien-Yen Chang   2 , PhD ;   Jonathan P Weiner   2 , DrPH ;   Hadi Kharrazi   2 , MD, PhD

1 Applied Physics Laboratory, Johns Hopkins University, Baltimore, MD, United States

2 Center for Population Health Information Technology, Department of Health Policy and Management, Johns Hopkins School of Public Health, Baltimore, MD, United States

Corresponding Author:

  • Hadi Kharrazi, MD, PhD
  • Center for Population Health Information Technology
  • Department of Health Policy and Management
  • Johns Hopkins School of Public Health
  • Baltimore, MD
  • United States
  • Phone: 1 4432878264
  • Email: kharrazi@jhu.edu