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A New Ontological Probabilistic Approach to the Breast Cancer Problem in Semantic Medicine

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6216))

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Abstract

The present paper stresses the potentiality of RDF and the possibility of its application in medicine. The most important areas where semantic medicine is applied are the ontology for indexing of publications and the organization of patient data for diagnosis. In this paper breast cancer patient data organization has been considered. This assessment was based on clinical, biological and genetic factors combined with familial history of the same patient.

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Bevilacqua, V., Cucci, F., Santarcangelo, V., Iannelli, G., Paradiso, A., Tommasi, S. (2010). A New Ontological Probabilistic Approach to the Breast Cancer Problem in Semantic Medicine. In: Huang, DS., Zhang, X., Reyes García, C.A., Zhang, L. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2010. Lecture Notes in Computer Science(), vol 6216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14932-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-14932-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14931-3

  • Online ISBN: 978-3-642-14932-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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