Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study

To develop novel, scalable, and valid literacy profiles for identifying limited health literacy patients by harnessing natural language processing. Since health literacy is a potentially remediable explanatory factor in health care disparities, the development of automated health literacy indicators represents a significant accomplishment with broad clinical and population health applications.
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Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study