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

Artificial Intelligence (1198) JMIR Theme Issue: COVID-19 Special Issue (2391) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Secondary Use of Clinical Data for Research and Surveillance (320) Systemic Racism and Racial Bias in Health Care and Society (72) Innovative Methods in Public Health and Surveillance (306) Infectious Diseases (non-STD/STI) (1485) Information Models (21) Clinical Information and Decision Making (1328) Clinical Informatics (912) Machine Learning (1385) E-Health / Health Services Research and New Models of Care (457)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31337, first published .
Predicting COVID-19–Related Health Care Resource Utilization Across a Statewide Patient Population: Model Development Study

Predicting COVID-19–Related Health Care Resource Utilization Across a Statewide Patient Population: Model Development Study

Predicting COVID-19–Related Health Care Resource Utilization Across a Statewide Patient Population: Model Development Study

Authors of this article:

Suranga N Kasturi1, 2 Author Orcid Image ;   Jeremy Park3 Author Orcid Image ;   David Wild3 Author Orcid Image ;   Babar Khan1, 4 Author Orcid Image ;   David A Haggstrom1, 4 Author Orcid Image ;   Shaun Grannis1, 5 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Suranga N Kasturi   1, 2 , PhD ;   Jeremy Park   3 , BS ;   David Wild   3 , PhD ;   Babar Khan   1, 4 , MD, MS ;   David A Haggstrom   1, 4 , MD, MAS ;   Shaun Grannis   1, 5 , MD, MS

1 Regenstrief Institute, Indianapolis, IN, United States

2 Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States

3 Luddy School of Informatics Computing and Engineering, Indiana University, Bloomington, IN, United States

4 Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States

5 Department of Family Medicine, Indiana University School of Medicine, Indianapolis, IN, United States

Corresponding Author: