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Data integration for clinical decision support | IEEE Conference Publication | IEEE Xplore

Data integration for clinical decision support

Publisher: IEEE

Abstract:

The key challenges in integration of biomedical data is to enable semantic interoperability between different types of medical records, healthcare information, sensing da...View more

Abstract:

The key challenges in integration of biomedical data is to enable semantic interoperability between different types of medical records, healthcare information, sensing data and lifelog data. For the interoperability between data, it is common way to follow worldwide information standards and standards terminologies such as HL7/SNOMED CT. For the collection of data from different data sources we suggest integrated system architecture using Web Ontology Language (OWL) to generate intelligent biomedical knowledge base. To build an intelligent biomedical database, automatic knowledge curation method is used for auto correction and knowledge updates. These integrated smart knowledge base checks recent biomedical information in real-time and integrates new knowledge.
Date of Conference: 05-08 July 2016
Date Added to IEEE Xplore: 11 August 2016
ISBN Information:
Electronic ISSN: 2165-8536
Publisher: IEEE
Conference Location: Vienna, Austria

References

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