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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Bibliographic Details

Published in:	International journal of medical informatics (Shannon, Ireland) Vol. 105; pp. 110 - 120
Main Authors:	Cronin, Robert M., Fabbri, Daniel, Denny, Joshua C., Rosenbloom, S. Trent, Jackson, Gretchen Purcell
Format:	Journal Article
Language:	English
Published:	Ireland Elsevier B.V 01.09.2017
Subjects:	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
Online Access:	Get full text
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