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Understanding patient satisfaction with received healthcare services: A natural language processing approach
Important information is encoded in free-text patient comments. We determine the most common topics in patient comments, design automatic topic classifiers, identify comments ’ sentiment, and find new topics in negative comments. Our annotation scheme consisted of 28 topics, with positive and negati...
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| Publicado no: | AMIA Annu Symp Proc |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5333198/ https://ncbi.nlm.nih.gov/pubmed/28269848 |
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