Automatic information coverage assessment of diabetes websites

Bulut, Güliz
People frequently access Internet to look up health information. However, as the quality of websites may vary significantly, the treatment recommendations and guidelines provided by some of these web sites may be fallacious. Consequently, patients may unfollow their current treatments suggested by their doctors or start following unfounded treatments. In this thesis, an automated approach is presented to estimate information coverage of websites. The approach is based on a domain-dependent standard knowledge base (KB) and enhanced by open source resources. Elastic net regularized regression is used to construct a model for estimation. As a case study, data set consisting of type 2 diabetes related web pages is utilized. “Standards of Medical Care in Diabetes” published by American Diabetes Association is processed to obtain factual data about treatment of type 2 diabetes. This standard serves as a detailed KB on type 2 diabetes treatment and enables to produce a trustworthy input for evaluation. In light of this KB, the data set of type 2 diabetes related web pages is processed to retrieve their coverage of factual information. It is observed that, extracting significant terms from a domain-dependent knowledge base provide a basis to measure information coverage of a source.


Quality oriented information retrieval and timeliness analysis on diabetes websites /
Belen Sağlam, Rahime; Taşkaya Temizel, Tuğba; Department of Information Systems (2014)
The foremost requirement of health information seekers is to retrieve high quality and up-to date information from web search engine results. Current techniques rely heavily on Web graph structure and they are domain independent solutions. However, in health domain, to ensure information quality, a search engine should return results that are not only relevant to submitted query but also in accordance with evidence based medical guidelines. The aim of this thesis is to propose an automated framework which i...
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A framework for automatic information quality ranking of diabetes websites
Saglam, Rahime Belen; Taşkaya Temizel, Tuğba (2015-01-01)
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.
A framework for information quality and coverageassessment for type 2 diabetes websites
Ölçer, Didem; Taşkaya Temizel, Tuğba; Department of Information Systems (2020-10-22)
Health information seekers often use search engines to access high-quality and up-to-date information. However, finding online high-quality health information is increasingly getting difficult due to the high volume of information generated by non-experts in the area. There are manual tools which help end-users in assessing the quality of websites. However, they are labour-intensive. This thesis aims to propose a framework that automatically evaluates the content coverage and quality of health websites acco...
Automatic information timeliness assessment of diabetes web sites by evidence based medicine
SAGLAM, Rahime Belen; Taşkaya Temizel, Tuğba (2014-11-01)
Studies on health domain have shown that health websites provide imperfect information and give recommendations which are not up to date with the recent literature even when their last modified dates are quite recent. In this paper, we propose a framework which assesses the timeliness of the content of health websites automatically by evidence based medicine. Our aim is to assess the accordance of website contents with the current literature and information timeliness disregarding the update time stated on ...
Citation Formats
G. Bulut, “Automatic information coverage assessment of diabetes websites,” M.S. - Master of Science, Middle East Technical University, 2018.