| Literature DB >> 31848894 |
Rim Messaoudi1,2, Achraf Mtibaa3,4, Antoine Vacavant5, Faïez Gargouri3,6, Faouzi Jaziri5.
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.Entities:
Keywords: Knowledge representation; Liver diseases; Medical terminologies; Ontologies
Year: 2020 PMID: 31848894 PMCID: PMC7256132 DOI: 10.1007/s10278-019-00303-2
Source DB: PubMed Journal: J Digit Imaging ISSN: 0897-1889 Impact factor: 4.056