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

Clinical Informatics (919) JMIR Theme Issue: COVID-19 Special Issue (2394) Secondary Use of Clinical Data for Research and Surveillance (326) Electronic Health Records (971) Clinical Information and Decision Making (1340)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35860, first published .
Characterizing Thrombotic Complication Risk Factors Associated With COVID-19 via Heterogeneous Patient Data: Retrospective Observational Study

Characterizing Thrombotic Complication Risk Factors Associated With COVID-19 via Heterogeneous Patient Data: Retrospective Observational Study

Characterizing Thrombotic Complication Risk Factors Associated With COVID-19 via Heterogeneous Patient Data: Retrospective Observational Study

Authors of this article:

Bedda Rosario1 Author Orcid Image ;   Andrew Zhang2 Author Orcid Image ;   Mehool Patel3 Author Orcid Image ;   Amol Rajmane4 Author Orcid Image ;   Ning Xie2 Author Orcid Image ;   Dilhan Weeraratne5 Author Orcid Image ;   Gil Alterovitz2 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Bedda Rosario   1 * , PhD ;   Andrew Zhang   2 * ;   Mehool Patel   3 , MD ;   Amol Rajmane   4 , MD, MBA ;   Ning Xie   2 , MSc ;   Dilhan Weeraratne   5 * , PhD ;   Gil Alterovitz   2 * , PhD

1 IBM, Round Rock, TX, United States

2 Biomedical Cybernetics Laboratory, Brigham and Women's Hospital, Boston, MA, United States

3 IBM, Akron, OH, United States

4 IBM, Palo Alto, CA, United States

5 IBM, Boston, MA, United States

*these authors contributed equally

Corresponding Author:

  • Gil Alterovitz, PhD
  • Biomedical Cybernetics Laboratory
  • Brigham and Women's Hospital
  • 75 Francis Street
  • Boston, MA, 02115
  • United States
  • Phone: 1 617-329-1445
  • Email: ga@alum.mit.edu