Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Automatic information coverage assessment of diabetes websites
Download
index.pdf
Date
2018
Author
Bulut, Güliz
Metadata
Show full item record
Item Usage Stats
270
views
93
downloads
Cite This
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.
Subject Keywords
Diabetes.
,
Web sites.
,
Medical informatics.
,
Medicine
,
Natural language processing (Computer science).
URI
http://etd.lib.metu.edu.tr/upload/12622605/index.pdf
https://hdl.handle.net/11511/27641
Collections
Graduate School of Informatics, Thesis
Suggestions
OpenMETU
Core
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...
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...
Finding Online Health-Related Information: Usability Issues Of Health Portals
Gürel Köybaşı, Nergis Ayşe; Çağıltay, Kürşat (2012-08-29)
As Internet and computers become widespread, health portals offering online health-related information become more popular. The most important point for health portals is presenting reliable and valid information. Besides, portal needs to be usable to be able to serve information to users effectively. This study aims to determine usability issues emerging when health-related information is searched on a health portal. User-based usability tests are conducted and eye movement analyses are used in addition to...
Usability evaluation of mobile information and communications technology in health care
Akbaşoğlu, Beyza; Baykal, Nazife; Department of Health Informatics (2013)
Technology plays an increasingly important role in modern health care. This thesis presents an approach to usability evaluation of mobile information and communications technologies designed for diabetes patients’ use in their daily lives. According to our study conducted on 60 diabetes patients, several important findings were obtained. Fifty nine (98.3%) diabetes patients were highly satisfied with the mobile health technology and expressed that they would use it, and found the measured values reliable. F...
Automatic navigation model extraction for web load testing
Kara, İsmihan Refika; Betin Can, Aysu; Department of Information Systems (2011)
Web pages serve a huge number of internet users in nearly every area. An adequate testing is needed to address the problems of web domains for more efficient and accurate services. We present an automated tool to test web applications against execution errors and the errors occured when many users connect the same server concurrently. Our tool, called NaMoX, attains the clickables of the web pages, creates a model exerting depth first search algorithm. NaMoX simulates a number of users, parses the developed...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. Bulut, “Automatic information coverage assessment of diabetes websites,” M.S. - Master of Science, Middle East Technical University, 2018.