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The Role of Surface, Semantic and Grammatical Features on Simplification of Spanish Medical Texts: A User Study.

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Research Paper: Consumer Health Concepts That Do Not Map to the UMLS: Where Do They Fit?, , , , , , and . JAMIA, 15 (4): 496-505 (2008)Automated Lexicon and Feature Construction Using Word Embedding and Clustering for Classification of ASD Diagnoses Using EHR., , , and . NLDB, volume 10260 of Lecture Notes in Computer Science, page 34-37. Springer, (2017)Influence of Audio Speech Rate and Source Text Difficulty on Health Information Comprehension and Retention., , , , , , and . HICSS, page 3567-3576. ScholarSpace, (2024)A pilot study of a predicate-based vector space model for a biomedical search engine., , and . BIBM Workshops, page 1001-1003. IEEE Computer Society, (2011)Automated crime report analysis and classification for e-government and decision support., and . DG.O, page 18-27. ACM, (2013)We Know Where You Are Tweeting From: Assigning a Type of Place to Tweets Using Natural Language Processing and Random Forests., , and . BigData Congress, page 594-600. IEEE Computer Society, (2014)A Classifier to Evaluate Language Specificity of Medical Documents., , , , and . HICSS, page 134. IEEE Computer Society, (2007)Text Simplification Tools: Using Machine Learning to Discover Features that Identify Difficult Text., , , and . HICSS, page 2616-2625. IEEE Computer Society, (2014)Predicting Transition Words Between Sentences for English and Spanish Medical Text., , , and . AMIA, AMIA, (2019)Using Natural Language Processing for Autism Trigger Extraction., , and . AMIA, AMIA, (2014)