Web: http://arxiv.org/abs/2209.06723

Sept. 15, 2022, 1:14 a.m. | David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida, Dinuk DeAlmeida, Vivian Hui, Young Ji Lee, Yiye Zhang, Leming Zhou, Yanshan Wang

cs.CL updates on arXiv.org arxiv.org

Health literacy is the central focus of Healthy People 2030, the fifth
iteration of the U.S. national goals and objectives. People with low health
literacy usually have trouble understanding health information, following
post-visit instructions, and using prescriptions, which results in worse health
outcomes and serious health disparities. In this study, we propose to leverage
natural language processing techniques to improve health literacy in patient
education materials by automatically translating illiterate languages in a
given sentence. We scraped patient education materials …

arxiv education health machine machine translation materials neural machine translation patient translation

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