A Web-Based Medical Text Simplification Tool

dc.contributor.author Kauchak, David
dc.contributor.author Leroy, Gondy
dc.date.accessioned 2020-01-04T07:56:02Z
dc.date.available 2020-01-04T07:56:02Z
dc.date.issued 2020-01-07
dc.description.abstract With the increasing demand for improved health literacy, better tools are needed to produce personalized health information efficiently that is readable and understandable by the patient. In this paper, we introduce a web-based text simplification tool that helps content-producers simplify existing text materials to make them more broadly accessible. The tool uses features that provide concrete suggestions and all features have been shown individually to improve the understandability of text in previous research. We provide an overview of the tool along with a quantitative analysis of the impact on medical texts. On a medical corpus, the tool provides good coverage with suggestions on over a third of the words and over a third of the sentences. These suggestions are over 40% accurate, though the accuracy varies by text source.
dc.format.extent 9 pages
dc.identifier.doi 10.24251/HICSS.2020.458
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64200
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Personal Health and Wellness Management with Technologies
dc.subject health informatics
dc.subject text simplification
dc.subject text simplification tool
dc.title A Web-Based Medical Text Simplification Tool
dc.type Conference Paper
dc.type.dcmi Text
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