Efficacy of a Web-Based Intelligent Tutoring System for Communicating Genetic Risk of Breast Cancer
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DOI: 10.1177/0272989X14535983
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References listed on IDEAS
- Gram, I.T. & Slenker, S.E., 1992. "Cancer anxiety and attitudes toward mammography among screening attenders, nonattenders, and women never invited," American Journal of Public Health, American Public Health Association, vol. 82(2), pages 249-251.
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- Reeson, Andrew & Mason, Claire & Sanderson, Todd & Bratanova, Alexandra & Hajkowicz, Stefan, 2016. "The VET era: equipping Australia’s workforce for the future digital economy," MPRA Paper 114022, University Library of Munich, Germany.
- Martin Michalowski & Szymon Wilk & Wojtek Michalowski & Dympna O’Sullivan & Silvia Bonaccio & Enea Parimbelli & Marc Carrier & Grégoire Le Gal & Stephen Kingwell & Mor Peleg, 2021. "A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment," IJERPH, MDPI, vol. 18(14), pages 1-28, July.
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Keywords
genetic testing; breast cancer risk; Intelligent Tutoring System; Fuzzy-Trace Theory;All these keywords.
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