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

Natural Language Processing (706) Clinical Information and Decision Making (1434) Pharmacovigilance (138)

Published on in Vol 2, No 1 (2014): Jan-Jun

Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives

Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives

Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives

Authors of this article:

Balaji Polepalli Ramesh1, 2 ;   Steven M Belknap3 ;   Zuofeng Li1, 2 ;   Nadya Frid1, 2 ;   Dennis P West4 ;   Hong Yu1, 5, 6 Author Orcid Image
Article Authors Cited by (19) Tweetations (4) Metrics

Balaji Polepalli Ramesh   1, 2 , MS Comp Sc, PhD ;   Steven M Belknap   3 , MD ;   Zuofeng Li   1, 2 , MD, PhD ;   Nadya Frid   1, 2 , MS ;   Dennis P West   4 , PhD ;   Hong Yu   1, 5, 6 , PhD

1 University of Massachusetts Medical School, Worcester, MA, United States

2 Department of Health Sciences, University of Wisconsin Milwaukee, Milwaukee, WI, United States

3 Northwestern University Feinberg School of Medicine, Department of Dermatology and Department of Medicine, Division of General Internal Medicine and Geriatrics, Chicago, IL, United States

4 Northwestern University Feinberg School of Medicine, Department of Dermatology, Chicago, IL, United States

5 VA Central Western Massachusetts, Leeds, MA, United States

6 University of Massachusetts, Department of Computer Science, Amherst, MA, United States

Corresponding Author:

  • Hong Yu, PhD
  • University of Massachusetts Medical School
  • AS6-2071
  • 368 Plantation St
  • Worcester, MA, 01605
  • United States
  • Phone: 1 (508) 856-3474
  • Fax: 1 (508) 856-8993
  • Email: Hong.Yu@umassmed.edu