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

Machine Learning (1401) Clinical Informatics (919) Electronic Health Records (971)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27527, first published .
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Authors of this article:

Avijit Mitra1 Author Orcid Image ;   Bhanu Pratap Singh Rawat1 Author Orcid Image ;   David D McManus2 Author Orcid Image ;   Hong Yu1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Avijit Mitra   1 , MSc ;   Bhanu Pratap Singh Rawat   1 , MSc ;   David D McManus   2 , MSc, MD ;   Hong Yu   1, 2, 3, 4 , PhD

1 College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, United States

2 Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States

3 Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, United States

4 Center for Healthcare Organization and Implementation Research, Bedford Veterans Affairs Medical Center, Bedford, MA, United States

Corresponding Author:

  • Hong Yu, PhD
  • Department of Computer Science
  • University of Massachusetts Lowell
  • 1 University Avenue
  • Lowell, MA
  • United States
  • Phone: 1 508 612 7292
  • Email: Hong_Yu@uml.edu