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Automated Diagnosis through Ontologies and Logical Descriptions: The ADONIS Approach
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Author(s): 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)and Giner Alor-Hernández (Instituto Tecnológico de Orizaba, Mexico)
Copyright: 2013
Pages: 18
Source title:
Engineering Effective Decision Support Technologies: New Models and Applications
Source Author(s)/Editor(s): Daniel J. Power (University of Northern Iowa and DSSResources.com, USA)
DOI: 10.4018/978-1-4666-4002-3.ch007
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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.
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