A framework for automatic information quality ranking of diabetes websites

2015-01-01
Saglam, Rahime Belen
Taşkaya Temizel, Tuğba
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Objective: When searching for particular medical information on the internet the challenge lies in distinguishing the websites that are relevant to the topic, and contain accurate information. In this article, we propose a framework that automatically identifies and ranks diabetes websites according to their relevance and information quality based on the website content.
Biased content, Diabetes, Information quality, Quality assessment
https://hdl.handle.net/11511/32468
INFORMATICS FOR HEALTH & SOCIAL CARE
Graduate School of Informatics, Article

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Citation Formats
R. B. Saglam and T. Taşkaya Temizel, “A framework for automatic information quality ranking of diabetes websites,” INFORMATICS FOR HEALTH & SOCIAL CARE, pp. 45–66, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32468.
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