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

Natural Language Processing (706) Electronic Health Records (1068)

Published on in Vol 4, No 4 (2016): Oct-Dec

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

Authors of this article:

Jinying Chen1 Author Orcid Image ;   Jiaping Zheng2 Author Orcid Image ;   Hong Yu1, 3 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Jinying Chen   1 , PhD ;   Jiaping Zheng   2 , MS ;   Hong Yu   1, 3 , PhD, FACMI

1 Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States

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

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

Corresponding Author:

  • Jinying Chen, PhD
  • Department of Quantitative Health Sciences
  • University of Massachusetts Medical School
  • 368 Plantation Street
  • Worcester, MA
  • United States
  • Phone: 1 774-455-3527
  • Fax: 1 508-856-8993
  • Email: jinying.chen@umassmed.edu