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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

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