Ontology-based support for human disease study

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 that contains common general information regarding human diseas...

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Main Authors: Hadzic, Maja, Chang, Elizabeth
Format: Conference Paper
Published: IEEE 2005
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/41098
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author Hadzic, Maja
Chang, Elizabeth
author_facet Hadzic, Maja
Chang, Elizabeth
author_sort Hadzic, Maja
building Curtin Institutional Repository
collection Online Access
description 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 that contains common general information regarding human diseases. This proposed Generic Human Disease Ontology represents the information in 4 ?dimensions?: (1) disease types, (2) phenotype (observable characteristics of an organism) or symptoms (3) causes related to the disease, namely genetic causes (genes, gene complexes and DNA regions of interest) and environmental causes (such as stress, family condition, drugs, climate etc.), and (4) treatments available for the disease such as drug therapy, chemotherapy, physiotherapy, psychotherapy, surgery etc. The Generic Human Disease Ontology aims to support also the study of complex disorders caused by many different factors simultaneously e.g. the case of manic depressive disorders. We illustrate how this Generic Human Disease Ontology helps to produce Generic Human Disease Ontology on request, as support tool for physicians and medical researchers.
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spelling curtin-20.500.11937-410982017-01-30T14:48:09Z Ontology-based support for human disease study Hadzic, Maja Chang, Elizabeth human disease Unified Medical Language System human disease study ontology generic human disease bi-polar disorder DNA information systems manic depression UMLS 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 that contains common general information regarding human diseases. This proposed Generic Human Disease Ontology represents the information in 4 ?dimensions?: (1) disease types, (2) phenotype (observable characteristics of an organism) or symptoms (3) causes related to the disease, namely genetic causes (genes, gene complexes and DNA regions of interest) and environmental causes (such as stress, family condition, drugs, climate etc.), and (4) treatments available for the disease such as drug therapy, chemotherapy, physiotherapy, psychotherapy, surgery etc. The Generic Human Disease Ontology aims to support also the study of complex disorders caused by many different factors simultaneously e.g. the case of manic depressive disorders. We illustrate how this Generic Human Disease Ontology helps to produce Generic Human Disease Ontology on request, as support tool for physicians and medical researchers. 2005 Conference Paper http://hdl.handle.net/20.500.11937/41098 IEEE fulltext
spellingShingle human disease
Unified Medical Language System
human disease study
ontology
generic human disease
bi-polar disorder
DNA
information systems
manic depression
UMLS
Hadzic, Maja
Chang, Elizabeth
Ontology-based support for human disease study
title Ontology-based support for human disease study
title_full Ontology-based support for human disease study
title_fullStr Ontology-based support for human disease study
title_full_unstemmed Ontology-based support for human disease study
title_short Ontology-based support for human disease study
title_sort ontology-based support for human disease study
topic human disease
Unified Medical Language System
human disease study
ontology
generic human disease
bi-polar disorder
DNA
information systems
manic depression
UMLS
url http://hdl.handle.net/20.500.11937/41098