Automated Diagnosis through Ontologies and Logical Descriptions: The ADONIS Approach

Automated Diagnosis through Ontologies and Logical Descriptions: The ADONIS Approach

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)
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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2. State Of The Art

The aim of this section is to provide a detailed state-of-the-art of the technologies present in this work and a description of the application domain.

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