A model based on multi-features to enhance healthcare and medical document retrieval

Al Zamıl M. G. H., Can A.

INFORMATICS FOR HEALTH & SOCIAL CARE, vol.36, pp.100-115, 2011 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 36
  • Publication Date: 2011
  • Doi Number: 10.3109/17538157.2010.506252
  • Journal Name: INFORMATICS FOR HEALTH & SOCIAL CARE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.100-115
  • Keywords: Medical search engines, topical ranking, medical and clinical documents, TREC-9 filtering, UMLS, MeSH
  • Middle East Technical University Affiliated: Yes

Abstract

Objective. A major problem in biomedical informatics is the contextual retrieval and ranking of medical and healthcare information. In this article, we present a model for extracting semantic relations among medical and clinical documents. The purpose is to maximise contextual retrieval and ranking performance with minimum input from users.