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A Comparison of Rule-Based and Machine Learning Approaches for Classifying Patient Portal Messages
OBJECTIVE: Secure messaging through patient portals is an increasingly popular way that consumers interact with healthcare providers. The increasing burden of secure messaging can affect clinic staffing and workflows. Manual management of portal messages is costly and time consuming. Automated class...
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| Veröffentlicht in: | Int J Med Inform |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5546247/ https://ncbi.nlm.nih.gov/pubmed/28750904 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijmedinf.2017.06.004 |
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