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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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Bibliographische Detailangaben
Veröffentlicht in:Int J Med Inform
Hauptverfasser: Cronin, Robert M., Fabbri, Daniel, Denny, Joshua C., Rosenbloom, S. Trent, Jackson, Gretchen Purcell
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2017
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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