How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach

BACKGROUND: Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques could provide a data-driven, hospital-independent solution to indicate points for...

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Detalles Bibliográficos
Autores principales: Cammel, Simone A., De Vos, Marit S., van Soest, Daphne, Hettne, Kristina M., Boer, Fred, Steyerberg, Ewout W., Boosman, Hileen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251822/
https://www.ncbi.nlm.nih.gov/pubmed/32460734
http://dx.doi.org/10.1186/s12911-020-1104-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251822/
https://www.ncbi.nlm.nih.gov/pubmed/32460734
http://dx.doi.org/10.1186/s12911-020-1104-5

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