Term Identification Methods for Consumer Health Vocabulary Development
نویسندگان
چکیده
منابع مشابه
Term Identification Methods for Consumer Health Vocabulary Development
BACKGROUND The development of consumer health information applications such as health education websites has motivated the research on consumer health vocabulary (CHV). Term identification is a critical task in vocabulary development. Because of the heterogeneity and ambiguity of consumer expressions, term identification for CHV is more challenging than for professional health vocabularies. O...
متن کاملOriginal Paper Term Identification Methods for Consumer Health Vocabulary Development
Background: The development of consumer health information applications such as health education websites has motivated the research on consumer health vocabulary (CHV). Term identification is a critical task in vocabulary development. Because of the heterogeneity and ambiguity of consumer expressions, term identification for CHV is more challenging than for professional health vocabularies. Ob...
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We describe a Web application that supports collaborative development of a consumer health vocabulary. It performs text analyses and enables distributed human review. It also provides on-the-fly summary reports and facilitates the generation of a final vocabulary based on the results of the review.
متن کاملMining Consumer Health Vocabulary from Community-Generated Text
Community-generated text corpora can be a valuable resource to extract consumer health vocabulary (CHV) and link them to professional terminologies and alternative variants. In this research, we propose a pattern-based text-mining approach to identify pairs of CHV and professional terms from Wikipedia, a large text corpus created and maintained by the community. A novel measure, leveraging the ...
متن کاملAssessing Consumer Health Vocabulary Familiarity: An Exploratory Study
BACKGROUND Accurate assessment of the difficulty of consumer health texts is a prerequisite for improving readability. General purpose readability formulas based primarily on word length are not well suited for the health domain, where short technical terms may be unfamiliar to consumers. To address this need, we previously developed a regression model for predicting "average familiarity" with ...
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ژورنال
عنوان ژورنال: Journal of Medical Internet Research
سال: 2007
ISSN: 1438-8871
DOI: 10.2196/jmir.9.1.e4