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Ontologies for Liver Diseases Representation: A Systematic Literature Review.
Messaoudi, Rim; Mtibaa, Achraf; Vacavant, Antoine; Gargouri, Faïez; Jaziri, Faouzi.
Afiliação
  • Messaoudi R; MIRACL Laboratory, University of Sfax, Sfax, Tunisia. rimmessaoudii@gmail.com.
  • Mtibaa A; Institut Pascal, Université Clermont Auvergne, UMR6602 CNRS/UCA/SIGMA, 63171, Aubière, France. rimmessaoudii@gmail.com.
  • Vacavant A; MIRACL Laboratory, University of Sfax, Sfax, Tunisia.
  • Gargouri F; National School of Electronic and Telecommunications, University of Sfax, Sfax, Tunisia.
  • Jaziri F; Institut Pascal, Université Clermont Auvergne, UMR6602 CNRS/UCA/SIGMA, 63171, Aubière, France.
J Digit Imaging ; 33(3): 563-573, 2020 06.
Article em En | MEDLINE | ID: mdl-31848894
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ontologias Biológicas / Hepatopatias Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Digit Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Tunísia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ontologias Biológicas / Hepatopatias Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Digit Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Tunísia