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

Physician and Health Services Rating by Consumers (126) Natural Language Processing (644) Quality Improvement (224) Machine Learning (1384)

Published on in Vol 19, No 3 (2017): March

Supervised Machine Learning Algorithms Can Classify Open-Text Feedback of Doctor Performance With Human-Level Accuracy

Supervised Machine Learning Algorithms Can Classify Open-Text Feedback of Doctor Performance With Human-Level Accuracy

Supervised Machine Learning Algorithms Can Classify Open-Text Feedback of Doctor Performance With Human-Level Accuracy

Authors of this article:

Chris Gibbons1, 2 Author Orcid Image ;   Suzanne Richards3 Author Orcid Image ;   Jose Maria Valderas4 Author Orcid Image ;   John Campbell4 Author Orcid Image
Article Authors Cited by (41) Tweetations (50) Metrics

Chris Gibbons   1, 2 * , PhD ;   Suzanne Richards   3 * , PhD ;   Jose Maria Valderas   4 * , PhD ;   John Campbell   4 * , MD

1 Centre for Health Services Research, University of Cambridge, Cambridge, United Kingdom

2 The Psychometrics Centre, University of Cambridge, Cambridge, United Kingdom

3 Leeds Institute for Health Sciences, University of Leeds, Leeds, United Kingdom

4 Primary Care Research Group, University of Exeter, Exeter, United Kingdom

*all authors contributed equally

Corresponding Author:

  • Chris Gibbons, PhD
  • The Psychometrics Centre
  • University of Cambridge
  • 16 Mill Lane
  • Cambridge, CB2 1RH
  • United Kingdom
  • Phone: 44 1223 765 203
  • Fax: 44 1223 765 203
  • Email: cg598@cam.ac.uk