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

SAGLAM R. B., Temizel T.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol.117, no.2, pp.104-113, 2014 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 117 Issue: 2
  • Publication Date: 2014
  • Doi Number: 10.1016/j.cmpb.2014.07.014
  • Journal Name: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.104-113
  • Keywords: Content-based retrieval, Diabetes, Medical information systems, Timeliness analysis
  • Middle East Technical University Affiliated: Yes

Abstract

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.