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Automated Diagnosis Through Ontologies and Logical Descriptions: The ADONIS Approach

Author

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  • Alejandro Rodríguez-González

    (Universidad Carlos III de Madrid, Spain)

  • Ángel García-Crespo

    (Universidad Carlos III de Madrid, Spain)

  • Ricardo Colomo-Palacios

    (Østfold University College, Norway)

  • José Emilio Labra Gayo

    (Universidad de Oviedo, Spain)

  • Juan Miguel Gómez-Berbís

    (Universidad Carlos III de Madrid, Spain)

  • Giner Alor-Hernández

    (Instituto Tecnológico de Orizaba, Mexico)

Abstract

The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios.

Suggested Citation

  • Alejandro Rodríguez-González & Ángel García-Crespo & Ricardo Colomo-Palacios & José Emilio Labra Gayo & Juan Miguel Gómez-Berbís & Giner Alor-Hernández, 2011. "Automated Diagnosis Through Ontologies and Logical Descriptions: The ADONIS Approach," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 3(1), pages 21-39, January.
    • Handle: RePEc:igg:jdsst0:v:3:y:2011:i:1:p:21-39
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