Automated Diagnosis Through Ontologies and Logical Descriptions: The ADONIS Approach

Alejandro Rodríguez-González, Ángel García-Crespo, Ricardo Colomo-Palacios, José Emilio Labra Gayo, Juan Miguel Gómez-Berbís and Giner Alor-Hernández
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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

International Journal of Decision Support System Technology (IJDSST), 2011, vol. 3, issue 1, 21-39

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.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:3:y:2011:i:1:p:21-39

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