Title: Medical ontologies to support human disease research and control

Authors: Maja Hadzic, Elizabeth Chang

Addresses: School of Information Systems, Curtin University of Technology, G.P.O. Box U1987, Perth, Western Australia 6845, Australia. ' School of Information Systems, Curtin University of Technology, G.P.O. Box U1987, Perth, Western Australia 6845, Australia

Abstract: In this paper, we discuss an ontology-based system and approach that provides interoperability support for research in and diagnosis of human disease. The proposed solution incorporates a prototype for a Generic Human Disease Ontology (GenDO) that contains common general information regarding human diseases. We adopted the DOGMA formalism for the description and terminology involving ontologies. The proposed GenDO presents the information in four |dimensions|: (a) disease types, (b) causes related to the disease, namely genetic causes (genes, gene complexes and candidate DNA sequence regions) and environmental causes (such as stress, family condition, childhood and age groups), (c) phenotype (observable characteristics of an organism) or symptoms, and (d) treatments available for the disease, such as drug therapy, chemotherapy and physiotherapy. The GenDO also aims to support the study of complex disorders caused simultaneously by many different factors, e.g., the case of psychiatric disorders. We illustrate how this GenDO helps to produce Specific Human Disease Ontologies (SpeDO) upon request, as a support tool for physicians and medical researchers.

Keywords: ontology based systems; human diseases ontology; DOGMA formalism; medical ontologies; human disease research; human disease control; complex disorders; psychiatric disorders; biomedical research; bioengineering research; medical data; genetic data; environmental data; treatment data.

DOI: 10.1504/IJWGS.2005.008318

International Journal of Web and Grid Services, 2005 Vol.1 No.2, pp.139 - 150

Published online: 02 Dec 2005 *

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