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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (159) Clinical Information and Decision Making (1434) Natural Language Processing (706) Decision Support for Health Professionals (1210) Electronic Health Records (1068) Pharmacovigilance (138) Machine Learning (1501)

Published on in Vol 6, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12159, first published .
Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning

Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning

Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning

Authors of this article:

Fei Li1, 2, 3 Author Orcid Image ;   Weisong Liu1, 2, 3 Author Orcid Image ;   Hong Yu1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (39) Tweetations (9) Metrics

Fei Li   1, 2, 3 , PhD ;   Weisong Liu   1, 2, 3 , PhD ;   Hong Yu   1, 2, 3, 4 , PhD

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

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

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

4 School of Computer Science, University of Massachusetts, Amherst, MA, United States

Corresponding Author:

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