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Authors: Marin Prcela 1 ; Dragan Gamberger 1 ; Tomislav Šmuc 1 and Nikola Bogunović 2

Affiliations: 1 Rudjer Boskovic Institute, Croatia ; 2 University of Zagreb, Croatia

Keyword(s): Knowledge representation, Ontologies, Bayesian networks, Integration, Information gain, Decision support system, Expert system.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Expert Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Support for Clinical Decision-Making ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: Usage of Bayesian networks in medical decision support system is in general case twofold: (1) for obtaining probabilities of occurrence of medical events (i.e. possible diagnosis) and (2) for obtaining information gain of actions that can be taken (i.e. diagnostic tests). On the other hand, typical role of ontology is to provide a framework for definition of medical concepts, their structure and relations among them. In medical practice diagnostic tests are commonly comprised of number of measurements or sub-tests – a structure which is straightforwardly described by ontological language. In this paper we are analyzing the information gain of such structured medical diagnostic tests. The purpose of this analysis is to allow finding (1) which structured medical diagnostic test is at the given point the most informative one and (2) which elementary measurements within a given diagnostic test are the most informative ones. Furthermore, we are analyzing some computational issues which ar ise in the reasoning process. (More)

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Paper citation in several formats:
Prcela, M.; Gamberger, D.; Šmuc, T. and Bogunović, N. (2010). INFORMATION GAIN OF STRUCTURED MEDICAL DIAGNOSTIC TESTS - Integration of Bayesian Networks and Ontologies. In Proceedings of the Third International Conference on Health Informatics (BIOSTEC 2010) - HEALTHINF; ISBN 978-989-674-016-0; ISSN 2184-4305, SciTePress, pages 235-240. DOI: 10.5220/0002713902350240

@conference{healthinf10,
author={Marin Prcela. and Dragan Gamberger. and Tomislav Šmuc. and Nikola Bogunović.},
title={INFORMATION GAIN OF STRUCTURED MEDICAL DIAGNOSTIC TESTS - Integration of Bayesian Networks and Ontologies},
booktitle={Proceedings of the Third International Conference on Health Informatics (BIOSTEC 2010) - HEALTHINF},
year={2010},
pages={235-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002713902350240},
isbn={978-989-674-016-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Health Informatics (BIOSTEC 2010) - HEALTHINF
TI - INFORMATION GAIN OF STRUCTURED MEDICAL DIAGNOSTIC TESTS - Integration of Bayesian Networks and Ontologies
SN - 978-989-674-016-0
IS - 2184-4305
AU - Prcela, M.
AU - Gamberger, D.
AU - Šmuc, T.
AU - Bogunović, N.
PY - 2010
SP - 235
EP - 240
DO - 10.5220/0002713902350240
PB - SciTePress