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Authors: Marios Pitikakis 1 and Imon Banerjee 2

Affiliations: 1 Softeco Sismat S.r.l., Italy ; 2 CNR IMATI-Genova, Italy

ISBN: 978-989-758-010-9

Keyword(s): Knowledge Management, Bio-medical Ontology, Medical Imaging, Computer-Aided Diagnosis.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Data Engineering ; Decision Support Systems ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Semantic Interoperability ; Society, e-Business and e-Government ; Software Systems in Medicine ; Web Information Systems and Technologies

Abstract: This paper outlines a knowledge-based approach to construct semantically enriched components that can be integrated to form an environment for assisting and supporting medical professionals. We aim at capturing and utilizing invaluable expert knowledge, formalized within ontologies, to improve different kinds of medical diagnosis, monitoring and treatment. Our work is focused on supporting the knowledge management task, targeting the early stage diagnosis of musculoskeletal diseases of the human knee articulation, but is general enough to support similar knowledge management tasks for a wide range of clinical decision-making, research, teaching and learning activities.

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Paper citation in several formats:
Pitikakis M. and Banerjee I. (2014). Knowledge Management in Medicine - A Framework to Organize, Browse and Retrieve Medical Data.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 374-380. DOI: 10.5220/0004867603740380

@conference{healthinf14,
author={Marios Pitikakis and Imon Banerjee},
title={Knowledge Management in Medicine - A Framework to Organize, Browse and Retrieve Medical Data},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={374-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004867603740380},
isbn={978-989-758-010-9},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Knowledge Management in Medicine - A Framework to Organize, Browse and Retrieve Medical Data
SN - 978-989-758-010-9
AU - Pitikakis M.
AU - Banerjee I.
PY - 2014
SP - 374
EP - 380
DO - 10.5220/0004867603740380

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