Abstract
Medical ontologies are becoming increasingly important and have been a focus of constant attention in recent years as one of the fundamental techniques and knowledge bases for clinical decision support applications and in medical diagnosis. Indeed, in recent decades, research in the field of biomedical informatics has been developed. For this, ontologies constitute an adequate and efficient formalism of representation of biomedical knowledge. In this paper, we will present the different works that were the subject of the medical knowledge modeling followed by the presentation of our proposed method of semantic modeling ontological basis medical knowledge necessary for the diagnosis of bone tumors diseases from medical images to provide an automatic support for decision making and diagnosis of these diseases.
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Notes
- 1.
Foundational Model of Anatomy.
- 2.
Systematized Nomenclature of Medicine.
- 3.
Disease Ontology.
- 4.
Protégé is a free, open-source ontology editor and framework for building intelligent systems.
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Bensalah, M., Boujelben, A., Hentati, Y., Baklouti, M., Abid, M. (2022). Semantic Representation Driven by a Musculoskeletal Ontology for Bone Tumors Diagnosis. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_12
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