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OntoBa: Ontology of Biomedical Analysis

Author

Listed:
  • Nabil Moussaoui

    (Smart Grids & Renewable Energies Laboratory (SGRE-Lab), University of TAHRI Mohamed, Bechar, Algeria)

  • Abdeslem Dennai

    (Smart Grids & Renewable Energies Laboratory (SGRE-Lab), University of TAHRI Mohamed, Bechar, Algeria)

  • Khaled Benali

    (Smart Grids & Renewable Energies Laboratory (SGRE-Lab), University of TAHRI Mohamed, Bechar, Algeria)

Abstract

In the medical field, ontologies are mainly used to standardise the coding of knowledge, either during the drafting phase of documents or during subsequent processing intended to give them a format which makes them usable for automatic processing. In this sense, they have a normative role analogous to the classical medical terminologies (in particular thesauri): to set up a common vocabulary and to make use of shared representations and concepts, in order to allow the interoperability of documents and medicals information systems. Medical and biomedical data play a very important role in the medical field. They solve many of the problems encountered during the diagnosis of diseases and in the prescription medical treatments. The objective of this paper is to develop ontology for the field of medical analyses in an attempt to facilitate the tasks of the various actors in the medical field, namely: doctors, laboratory assistants and patients. It also endeavours to improve the care of patients and facilitate the various acts of health professionals, the purpose of which is to aid in decision-making in the treatment of a disease. To this end, we followed the so-called METHONTOLOGY based on the phases ranging from the needs specification to the evaluation and documentation of this ontology of medical analysis.

Suggested Citation

  • Nabil Moussaoui & Abdeslem Dennai & Khaled Benali, 2022. "OntoBa: Ontology of Biomedical Analysis," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-19, December.
  • Handle: RePEc:wsi:jikmxx:v:21:y:2022:i:04:n:s0219649222500563
    DOI: 10.1142/S0219649222500563
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