Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management
Health care sector is currently experiencing a major crisis with information overload. With the increasing prevalence of chronic diseases and the ageing population the amount of paper-work is more than ever before. In the US, a hospital admission of one patient generates an estimate of 60 pieces of...
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| Format: | Conference Paper |
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IEEE
2008
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/39582 |
| _version_ | 1848755629641957376 |
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| author | Nimmagadda, Shastri Nimmagadda, Sashi Dreher, Heinz |
| author_facet | Nimmagadda, Shastri Nimmagadda, Sashi Dreher, Heinz |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Health care sector is currently experiencing a major crisis with information overload. With the increasing prevalence of chronic diseases and the ageing population the amount of paper-work is more than ever before. In the US, a hospital admission of one patient generates an estimate of 60 pieces of paper. The federal governments of various countries have passed policies and initiatives that focus on introducing information systems into the health care sector. Technology will immensely reduce the cost of managing patients and even reduce the risks of mis-diagnosing and prescribing incorrectmedications to patients. This paper primarily focuses on introducing the concept of ontology based warehouse modelling and managing ecology of human body for disease and drug prescription management. Disorders of the human body and factors such as the patient?s age, living and working conditions, familial and genetic influences can be simulated into Metadata in a warehousing environment. In this environment, various relationships are identified and described between these factors and the diseases. Secondly, we also introduce ontological representation of the various human body systems such as the digestive, musculoskeletal and nervous system in disease processes. Although this is an extensive and complex knowledge domain, the work in this paper is one of the first to attempt to introduce the use of ontology based data warehousing and data mining conceptually. We also aim at implementing and applying this research in practice. |
| first_indexed | 2025-11-14T08:59:21Z |
| format | Conference Paper |
| id | curtin-20.500.11937-39582 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:59:21Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-395822017-09-13T15:51:05Z Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management Nimmagadda, Shastri Nimmagadda, Sashi Dreher, Heinz data mining disease - management data warehousing ontology diseases human body Health care sector is currently experiencing a major crisis with information overload. With the increasing prevalence of chronic diseases and the ageing population the amount of paper-work is more than ever before. In the US, a hospital admission of one patient generates an estimate of 60 pieces of paper. The federal governments of various countries have passed policies and initiatives that focus on introducing information systems into the health care sector. Technology will immensely reduce the cost of managing patients and even reduce the risks of mis-diagnosing and prescribing incorrectmedications to patients. This paper primarily focuses on introducing the concept of ontology based warehouse modelling and managing ecology of human body for disease and drug prescription management. Disorders of the human body and factors such as the patient?s age, living and working conditions, familial and genetic influences can be simulated into Metadata in a warehousing environment. In this environment, various relationships are identified and described between these factors and the diseases. Secondly, we also introduce ontological representation of the various human body systems such as the digestive, musculoskeletal and nervous system in disease processes. Although this is an extensive and complex knowledge domain, the work in this paper is one of the first to attempt to introduce the use of ontology based data warehousing and data mining conceptually. We also aim at implementing and applying this research in practice. 2008 Conference Paper http://hdl.handle.net/20.500.11937/39582 10.1109/DEST.2008.4635209 IEEE fulltext |
| spellingShingle | data mining disease - management data warehousing ontology diseases human body Nimmagadda, Shastri Nimmagadda, Sashi Dreher, Heinz Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management |
| title | Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management |
| title_full | Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management |
| title_fullStr | Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management |
| title_full_unstemmed | Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management |
| title_short | Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management |
| title_sort | ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management |
| topic | data mining disease - management data warehousing ontology diseases human body |
| url | http://hdl.handle.net/20.500.11937/39582 |