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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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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7251822/ https://ncbi.nlm.nih.gov/pubmed/32460734 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-1104-5 |
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