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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Crowdsourcing and Mechanical Turks (98)

Published on in Vol 15, No 4 (2013): April

Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing

Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing

Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing

Authors of this article:

Haijun Zhai1 ;   Todd Lingren1 ;   Louise Deleger1 ;   Qi Li1 ;   Megan Kaiser1 ;   Laura Stoutenborough1 ;   Imre Solti1
Article Authors Cited by (47) Tweetations (3) Metrics

Haijun Zhai   1 * , PhD ;   Todd Lingren   1 * , MA ;   Louise Deleger   1 , PhD ;   Qi Li   1 , PhD ;   Megan Kaiser   1 , BA ;   Laura Stoutenborough   1 , BSN ;   Imre Solti   1 , MD, PhD

1 Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States

*these authors contributed equally

Corresponding Author:

  • Imre Solti, MD, PhD
  • Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center
  • 3333 Burnet Avenue
  • Cincinnati, OH, 45229
  • United States
  • Phone: 1 513-636-1020
  • Fax: 1 513-636-1020
  • Email: imre.solti@cchmc.org