Qing Zeng?Treitler|Sergey Goryachev|Tony Tse|Ana Keselman|Aziz A. Boxwala
Estimating Consumer Familiarity with Health Terminology: A Context-based Approach
Decision Systems (United States)|Brigham and Women's Hospital|Aquilent (United States)|National Center for Biotechnology Information|National Institutes of Health|Decision Systems (United States)|Brigham and Women's Hospital|National Center for Biotechnology Information|National Institutes of Health|Aquilent (United States)|Brigham and Women's Hospital|National Center for Biotechnology Information|National Institutes of Health|Aquilent (United States)|Decision Systems (United States)|Decision Systems (United States)|Brigham and Women's Hospital|National Center for Biotechnology Information|National Institutes of Health|Aquilent (United States)|National Institutes of Health|Decision Systems (United States)|Brigham and Women's Hospital|National Center for Biotechnology Information|Aquilent (United States)
objectives effective health communication often hindered vocabulary gap language familiar consumers jargon used medical practice researchto present health information consumers comprehensible fashion need develop mechanism quantify health terms likely less likely understood typical members lay publicprior research used approaches including syllable count easy word list frequency count significant limitations designin article present new method predicts consumer familiarity using contextual informationthe method applied large query log data set validated using results two previously conducted consumer surveys measurementswe measured correlation survey result contextbased prediction syllable count frequency count log normalized frequency count resultsthe correlation coefficient contextbased prediction survey result 0773 p 0001 higher correlation coefficients survey result syllable count frequency count log normalized frequency count p 0012 conclusionsthe contextbased approach provides good alternative existing term familiarity assessment methods