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Description
  • Generally, the interoperability is the key feature to any widely used application or an information system. A system build on the basis of semantic data interpretation can also lead to an easy extensible and adaptable system, in the future. Otherwise, you have to deal with a lack of agreed terminologies or codes between standards e.g. DASTA vs. HL7, different coding structures and even variety of file formats or inconsistent database table schema. The most of these difficulties can be solved by the semantically interoperable system. We present our implementation strategy and meta data extraction methods for a research information system with an heterogeneous medical data. The medical data can have different origin, type, file format and even its version. We discuss the research information system that we primarily use for cerebrovascular brain diseases research.
  • Generally, the interoperability is the key feature to any widely used application or an information system. A system build on the basis of semantic data interpretation can also lead to an easy extensible and adaptable system, in the future. Otherwise, you have to deal with a lack of agreed terminologies or codes between standards e.g. DASTA vs. HL7, different coding structures and even variety of file formats or inconsistent database table schema. The most of these difficulties can be solved by the semantically interoperable system. We present our implementation strategy and meta data extraction methods for a research information system with an heterogeneous medical data. The medical data can have different origin, type, file format and even its version. We discuss the research information system that we primarily use for cerebrovascular brain diseases research. (en)
Title
  • Semantically interoperable research medical data and meta data extraction strategy
  • Semantically interoperable research medical data and meta data extraction strategy (en)
skos:prefLabel
  • Semantically interoperable research medical data and meta data extraction strategy
  • Semantically interoperable research medical data and meta data extraction strategy (en)
skos:notation
  • RIV/49777513:23520/11:43896524!RIV12-GA0-23520___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(GA106/09/0740)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...dnocenehoVysledku
  • 228759
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/11:43896524
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • cerebrovascular diseases, DASTA, DICOM, HL7, interprobility, medical data, ontology (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [458026C7D264]
http://linked.open...v/mistoKonaniAkce
  • Shanghai
http://linked.open...i/riv/mistoVydani
  • Piscataway
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  • BMEI 2011
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  • Klečková, Jana
  • Včelák, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE
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  • 978-1-4577-1447-4
http://localhost/t...ganizacniJednotka
  • 23520
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