This paper is in the following e-collection/theme issue:

Machine Learning (1401) Artificial Intelligence (1216) Adoption and Change Management of eHealth Systems (677) Clinical Information and Decision Making (1340)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37578, first published .
Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach

Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach

Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach

Authors of this article:

Deepika Gopukumar1 Author Orcid Image ;   Abhijeet Ghoshal2 Author Orcid Image ;   Huimin Zhao3 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Deepika Gopukumar   1 , PhD ;   Abhijeet Ghoshal   2 , PhD ;   Huimin Zhao   3 , PhD

1 Department of Health and Clinical Outcomes Research, School of Medicine, Saint Louis University, St.Louis, MO, United States

2 Department of Business Administration, Gies College of Business, University of Illinois Urbana-Champaign, Champaign, IL, United States

3 Sheldon B Lubar College of Business, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

Corresponding Author:

  • Deepika Gopukumar, PhD
  • Department of Health and Clinical Outcomes Research
  • School of Medicine
  • Saint Louis University
  • SALUS Center, 3545 Lafayette Ave., 4th floor, Room 409 B
  • St.Louis, MO, 63110
  • United States
  • Phone: 1 3149779300
  • Email: deepika.gopukumar@health.slu.edu