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

Machine Learning (1401) Electronic Health Records (971) Ontologies, Classifications, and Coding (227)

Published on in Vol 5, No 2 (2017): Apr-Jun

Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies

Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies

Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies

Authors of this article:

Shuai Zheng1 Author Orcid Image ;   James J Lu2 Author Orcid Image ;   Nima Ghasemzadeh3 Author Orcid Image ;   Salim S Hayek3 Author Orcid Image ;   Arshed A Quyyumi3 Author Orcid Image ;   Fusheng Wang4 Author Orcid Image
Article Authors Cited by (18) Tweetations (25) Metrics

Shuai Zheng   1 , PhD ;   James J Lu   2 * , PhD ;   Nima Ghasemzadeh   3 , MD ;   Salim S Hayek   3 , MD ;   Arshed A Quyyumi   3 , MD ;   Fusheng Wang   4 * , PhD

1 Department of Biomedical Informatics, Emory University, Atlanta, GA, United States

2 Department of Mathematics and Computer Science, Emory University, Atlanta, GA, United States

3 Division of Cardiology, Emory School of Medicine, Emory University, Atlanta, GA, United States

4 Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, United States

*these authors contributed equally

Corresponding Author:

  • Fusheng Wang, PhD
  • Department of Biomedical Informatics
  • Stony Brook University
  • 2211 Computer Science
  • Stony Brook, NY, 11794-8330
  • United States
  • Phone: 1 6316327528
  • Fax: 1 6316381323
  • Email: fusheng.wang@stonybrook.edu