One of the challenges of healthcare data processing, analysis and warehousing is the integration of data gathered from disparate and diverse data sources. Promoting the adoption of worldwide accepted information standards along with common terminologies and the use of technologies derived from semantic web representation, is a suitable path to achieve that. To that end, the HL7 V3 Reference Information Model (RIM)  has been used as the underlying information model coupled with the Web Ontology Language (OWL)  as the semantic data integration technology. In this paper we depict a biomedical data integration process and demonstrate how it was used for integrating various data sources, containing clinical, environmental and genomic data, within Hypergenes, a European Commission funded project exploring the Essential Hypertension  disease model.
Biomedical data integration : Capturing similarities while preserving disparities / S. Bianchi, A. Burla, C. Conti, A. Farkash, C. Kent, Y. Maman, A. Shabo (PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY). - In: Proceedings of the 31st Annual international conference of the IEEE engineering in medicine and biology society : Engineering the future of biomedicine : 2-6 September, 2009, Hilton Minneapolis, Minnesota[s.l] : IEEE, 2009. - ISBN 9781424432967. - pp. 4654-4657 (( Intervento presentato al 31. convegno Annual International conference of the IEEE engineering in medicine and biology society : Engineering the future of biomedicine (EMBC) tenutosi a Minneapolis (Minnesota) nel 2009.
|Titolo:||Biomedical data integration : Capturing similarities while preserving disparities|
|Parole Chiave:||algorithms; computational biology; database management systems; information storage and retrieval; medical informatics; semantics; vocabulary, controlled; cell biology; developmental biology; biomedical engineering; medicine (all)|
|Settore Scientifico Disciplinare:||Settore MED/01 - Statistica Medica|
|Progetto:||European Network for Genetic-Epidemiological Studies: building a method to dissect complex genetic traits, using essential hypertension as a disease model|
|Data di pubblicazione:||2009|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/IEMBS.2009.5332650|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|