Automated Diagnosis Through Ontologies and Logical Descriptions: The ADONIS Approach

  • Authors:
  • Ricardo Colomo-Palacios;Ángel García-Crespo;Juan Miguel Gómez-Berbís;Alejandro Rodríguez-González;José Emilio Labra Gayo;Giner Alor-Hernández

  • Affiliations:
  • Universidad Carlos III de Madrid, Spain;Universidad Carlos III de Madrid, Spain;Universidad Carlos III de Madrid, Spain;Universidad Carlos III de Madrid, Spain;Universidad de Oviedo, Spain;Instituto Tecnológico de Orizaba, Mexico

  • Venue:
  • International Journal of Decision Support System Technology
  • Year:
  • 2011

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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.