Automated Diagnosis Through Ontologies and Logical Descriptions: The ADONIS Approach Articles uri icon

publication date

  • March 2011

start page

  • 21

end page

  • 39

issue

  • 1

volume

  • 3

International Standard Serial Number (ISSN)

  • 1941-6296

Electronic International Standard Serial Number (EISSN)

  • 1941-630X

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.