A framework for automatic information quality ranking of diabetes websites

Saglam R. B., Temizel T.

INFORMATICS FOR HEALTH & SOCIAL CARE, cilt.40, sa.1, ss.45-66, 2015 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 1
  • Basım Tarihi: 2015
  • Doi Numarası: 10.3109/17538157.2013.872109
  • Dergi Adı: INFORMATICS FOR HEALTH & SOCIAL CARE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.45-66
  • Anahtar Kelimeler: Biased content, diabetes, information quality, quality assessment, HEALTH INFORMATION, WEB, INTERNET, INDICATORS, MEDICINE
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.