A comparison of rule-based and machine learning approaches for classifying patient portal messages

•We applied automated classification methods to patient generated portal messages.•Classifier features included words from messages, NLP concepts, and NLP semantics.•Random forest and logistic regression approaches accurately classified messages.•Automated classification may aid in managing growing...

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Vydáno v:	International journal of medical informatics (Shannon, Ireland) Ročník 105; s. 110 - 120
Hlavní autoři:	Cronin, Robert M., Fabbri, Daniel, Denny, Joshua C., Rosenbloom, S. Trent, Jackson, Gretchen Purcell
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Ireland Elsevier B.V 01.09.2017
Témata:	Bayes Theorem Communication Electronic Health Records - statistics & numerical data Health Personnel Health Services Needs and Demand Humans Machine Learning Natural Language Processing Patient portal Patient Portals Text classification Natural language processing Patient portal Machine learning Text classification
ISSN:	1386-5056, 1872-8243, 1872-8243
On-line přístup:	Získat plný text
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