Literature DB >> 31848894

Ontologies for Liver Diseases Representation: A Systematic Literature Review.

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


  20 in total

1.  The Unified Medical Language System (UMLS): integrating biomedical terminology.

Authors:  Olivier Bodenreider
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  RadiO: a prototype application ontology for radiology reporting tasks.

Authors:  Dirk Marwede; Matthew Fielding; Thomas Kahn
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

3.  Integrating ontologies of human diseases, phenotypes, and radiological diagnosis.

Authors:  Michael T Finke; Ross W Filice; Charles E Kahn
Journal:  J Am Med Inform Assoc       Date:  2019-02-01       Impact factor: 4.497

4.  Toward knowledge-based liver surgery: holistic information processing for surgical decision support.

Authors:  K März; M Hafezi; T Weller; A Saffari; M Nolden; N Fard; A Majlesara; S Zelzer; M Maleshkova; M Volovyk; N Gharabaghi; M Wagner; G Emami; S Engelhardt; A Fetzer; H Kenngott; N Rezai; A Rettinger; R Studer; A Mehrabi; L Maier-Hein
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-07       Impact factor: 2.924

5.  Building and Querying RDF/OWL Database of Semantically Annotated Nuclear Medicine Images.

Authors:  Kyung Hoon Hwang; Haejun Lee; Geon Koh; Debra Willrett; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2017-02       Impact factor: 4.056

6.  Semantic description of liver CT images: an ontological approach.

Authors:  Nadin Kokciyan; Rustu Turkay; Suzan Uskudarli; Pinar Yolum; Baris Bakir; Burak Acar
Journal:  IEEE J Biomed Health Inform       Date:  2014-07       Impact factor: 5.772

7.  OntoVIP: an ontology for the annotation of object models used for medical image simulation.

Authors:  Bernard Gibaud; Germain Forestier; Hugues Benoit-Cattin; Frédéric Cervenansky; Patrick Clarysse; Denis Friboulet; Alban Gaignard; Patrick Hugonnard; Carole Lartizien; Hervé Liebgott; Johan Montagnat; Joachim Tabary; Tristan Glatard
Journal:  J Biomed Inform       Date:  2014-07-16       Impact factor: 6.317

8.  Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.

Authors:  Metin N Gurcan; John Tomaszewski; James A Overton; Scott Doyle; Alan Ruttenberg; Barry Smith
Journal:  J Biomed Inform       Date:  2016-12-18       Impact factor: 6.317

9.  LiverAtlas: a unique integrated knowledge database for systems-level research of liver and hepatic disease.

Authors:  Yanqiong Zhang; Chunyuan Yang; Shaochuang Wang; Tao Chen; Mansheng Li; Xue Wang; Dongsheng Li; Kang Wang; Jie Ma; Songfeng Wu; Xueli Zhang; Yunping Zhu; Jinsheng Wu; Fuchu He
Journal:  Liver Int       Date:  2013-04-21       Impact factor: 5.828

10.  A unifying ontology to integrate histological and clinical observations for drug-induced liver injury.

Authors:  Yuping Wang; Zhi Lin; Zhichao Liu; Stephen Harris; Reagan Kelly; Jie Zhang; Weigong Ge; Minjun Chen; Jürgen Borlak; Weida Tong
Journal:  Am J Pathol       Date:  2013-02-08       Impact factor: 4.307

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