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ISMDA
2005
Springer

A Text Corpora-Based Estimation of the Familiarity of Health Terminology

8 years 10 months ago
A Text Corpora-Based Estimation of the Familiarity of Health Terminology
In a pilot effort to improve health communication we created a method for measuring the familiarity of various medical terms. To obtain term familiarity data, we recruited 21 volunteers who agreed to take medical terminology quizzes containing 68 terms. We then created predictive models for familiarly based on term occurrence in text corpora and reader’s demographics. Although the sample size was small, our preliminary results indicate that predicting the familiarity of medical terms based on an analysis of the frequency in text corpora is feasible. Further, individualized familiarity assessment is feasible when demographic features are included as predictors.
Qing T. Zeng, Eunjung Kim, Jonathan Crowell, Tony
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ISMDA
Authors Qing T. Zeng, Eunjung Kim, Jonathan Crowell, Tony Tse
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