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

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. OBJECTIVE: The objective of the study was to evaluate the accuracy of machine learn...

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Detalles Bibliográficos
Autores principales: Gibbons, Chris, Richards, Suzanne, Valderas, Jose Maria, Campbell, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371715/
https://www.ncbi.nlm.nih.gov/pubmed/28298265
http://dx.doi.org/10.2196/jmir.6533

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371715/
https://www.ncbi.nlm.nih.gov/pubmed/28298265
http://dx.doi.org/10.2196/jmir.6533

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