Automatic information timeliness assessment of diabetes web sites by evidence based medicine

SAGLAM, Rahime Belen
Taşkaya Temizel, Tuğba
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 the websites.


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...
Quality assessment of web-based information on type 2 diabetes
Olcer, Didem; Taşkaya Temizel, Tuğba (2021-10-01)
Purpose This paper proposes a framework that automatically assesses content coverage and information quality of health websites for end-users. Design/methodology/approach The study investigates the impact of textual and content-based features in predicting the quality of health-related texts. Content-based features were acquired using an evidence-based practice guideline in diabetes. A set of textual features inspired by professional health literacy guidelines and the features commonly used for assessing in...
A Multi-layer model for privacy preserving policy making for disclosure of public health data
Alizadeh Mizani, Mehrdad; Baykal, Nazife; Department of Medical Informatics (2013)
Health organizations in Turkey collect ever-increasing amount of individual data are valuable source of information for public health research. However, due to privacy risks, they publish data in aggregated rather than individual forms. The lack of standardized policies regarding secondary uses of health data leads to ineffectiveness of available technical methods. As a result, access to and utilization of person-specific datasets by public health researchers become extremely cumbersome. The bias introduced...
A novel report generation approach for medical applications : the sisds methodology and its applications
Kuru, Kaya; Arda, Kemal; Department of Medical Informatics (2010)
In medicine, reliable data are available only in a few areas and necessary information on prognostic implications is generally missing. In spite of the fact that a great amount of money has been invested to ease the process, an effective solution has yet to be found. Unfortunately, existing data collection approaches in medicine seem inadequate to provide accurate and high quality data, which is a prerequisite for building a robust and effective DDSS. In this thesis, many different medical reporting methodo...
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.
Citation Formats
R. B. SAGLAM and T. Taşkaya Temizel, “Automatic information timeliness assessment of diabetes web sites by evidence based medicine,” COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, pp. 104–113, 2014, Accessed: 00, 2020. [Online]. Available: