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

New Methods (963)

Published on in Vol 13, No 4 (2011): Oct-Dec

Using Natural Language Processing to Enable In-depth Analysis of Clinical Messages Posted to an Internet Mailing List: A Feasibility Study

Using Natural Language Processing to Enable In-depth Analysis of Clinical Messages Posted to an Internet Mailing List: A Feasibility Study

Using Natural Language Processing to Enable In-depth Analysis of Clinical Messages Posted to an Internet Mailing List: A Feasibility Study

Authors of this article:

Tanja Bekhuis1, 2 Author Orcid Image ;   Marcos Kreinacke3 ;   Heiko Spallek2, 4 ;   Mei Song2 ;   Jean A O'Donnell5
Article Authors Cited by (17) Tweetations (1) Metrics

Tanja Bekhuis   1, 2 , PhD, MS, MLIS ;   Marcos Kreinacke   3 , Dipl-Math ;   Heiko Spallek   2, 4 , PhD, DMD, MSBA(CIS) ;   Mei Song   2 , PhD ;   Jean A O'Donnell   5 , DMD, MSN

1 Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States

2 Center for Dental Informatics, Department of Dental Public Health, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States

3 Institute for Business Taxation, Leibniz University of Hanover, Hanover, Germany

4 Office of Faculty Development and Information Management, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States

5 Office of Education and Curriculum, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States

Corresponding Author:

  • Tanja Bekhuis, PhD, MS, MLIS
  • Department of Biomedical Informatics
  • School of Medicine
  • University of Pittsburgh
  • UPMC Cancer Pavilion, Suite 301-338
  • 5150 Centre Avenue
  • Pittsburgh, PA, 15232
  • United States
  • Phone: 1 412-647-6705
  • Fax: 1 412-623-4737
  • Email: tcb24@pitt.edu