Towards Automatic Improvement of Patient Queries in Health Retrieval Systems

Authors

  • Nesrine KSENTINI University of Sfax
  • Mohamed TMAR University of Sfax
  • Faiez GARGOURI University of Sfax

Keywords:

e-Health, Healthcare, Semantic relationships, Medical informatics, Medical data

Abstract

With the adoption of health information technology for clinical health, e-health is becoming usual practice today. Users of this technology find it difficult to seek information relevant to their needs due to the increasing amount of the clinical and medical data on the web, and the lack of knowledge of medical jargon. In this regards, a method is described to improve user's needs by automatically adding new related terms to their queries which appear in the same context of the original query in order to improve final search results. This method is based on the assessment of semantic relationships defined by a proposed statistical method between a set of terms or keywords. Experiments were performed on CLEF-eHealth-2015 database and the obtained results show the effectiveness of our proposed method.

Author Biographies

Nesrine KSENTINI, University of Sfax

Computer Science

Mohamed TMAR, University of Sfax

Computer Science

Faiez GARGOURI, University of Sfax

Computer Science

Downloads

Additional Files

Published

29.07.2016

How to Cite

1.
KSENTINI N, TMAR M, GARGOURI F. Towards Automatic Improvement of Patient Queries in Health Retrieval Systems. Appl Med Inform [Internet]. 2016 Jul. 29 [cited 2024 Nov. 13];38(2):73-80. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/575

Issue

Section

Articles