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

Journal: Journal of medical Internet research

Published Date: Mar 15, 2017

Abstract

BACKGROUND: Machine learning techniques may be an effective and efficient way to classify open-text reports on doctor's activity for the purposes of quality assurance, safety, and continuing professional development.

Authors

Chris Gibbons
Suzanne Richards

Leeds Institute for Health Sciences, University of Leeds, Leeds, United Kingdom.
Jose Maria Valderas

Primary Care Research Group, University of Exeter, Exeter, United Kingdom.
John Campbell

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

Keywords

Algorithms Clinical Competence Feedback Humans Physicians Supervised Machine Learning Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (28298265)

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

Abstract

Authors

Keywords

External Resources

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