A framework for automatic information quality ranking of diabetes websites


Saglam R. B. , Temizel T.

INFORMATICS FOR HEALTH & SOCIAL CARE, vol.40, no.1, pp.45-66, 2015 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 40 Issue: 1
  • Publication Date: 2015
  • Doi Number: 10.3109/17538157.2013.872109
  • Journal Name: INFORMATICS FOR HEALTH & SOCIAL CARE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.45-66
  • Keywords: Biased content, diabetes, information quality, quality assessment, HEALTH INFORMATION, WEB, INTERNET, INDICATORS, MEDICINE
  • Middle East Technical University Affiliated: Yes

Abstract

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.