Ontologies for Liver Diseases Representation: A Systematic Literature Review - Université Clermont Auvergne Access content directly
Journal Articles Journal of Digital Imaging Year : 2020

Ontologies for Liver Diseases Representation: A Systematic Literature Review

Abstract

Ontology, as a useful knowledge engineering technique, has been widely used for reducing ambiguity and helping with information sharing. It is considered originally to be clear, comprehensive, and with well-defined format. It characterizes several domains purposes description through structured and formalized languages. In various areas of research, it has become a significant way to realize successful and powerful accomplishments. Actually, medical ontologies were turned into an efficient application in medical domains. They also become a relevant approach to process large medical data volumes. Consequently, they are behaving as a support decision system in some cases. Also, they ensure diagnosis process acceleration and assistance. Additionally, they have been integrated especially to represent human healthcare concepts. For that reason, plenty of research works applied ontologies to design and treat liver diseases. In this article, we present a general overview of medical ontologies to stand for this type of disease. We expose and discuss these works in details by a complete comparison. Also, we show their performance to arrange clinical data and extract results.
Fichier principal
Vignette du fichier
Messaoudi et al..pdf (972.13 Ko) Télécharger le fichier

Dates and versions

hal-03135434 , version 1 (10-02-2021)

Identifiers

Cite

Rim Messaoudi, Achraf Mtibaa, Antoine Vacavant, Faïez Gargouri, Faouzi Jaziri. Ontologies for Liver Diseases Representation: A Systematic Literature Review. Journal of Digital Imaging, 2020, 33 (3), pp.563-573. ⟨10.1007/s10278-019-00303-2⟩. ⟨hal-03135434⟩
53 View
149 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More