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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F11%3A43896524%21RIV12-GA0-23520___
rdf:type
skos:Concept n14:Vysledek
dcterms: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.
dcterms:title
Semantically interoperable research medical data and meta data extraction strategy Semantically interoperable research medical data and meta data extraction strategy
skos:prefLabel
Semantically interoperable research medical data and meta data extraction strategy Semantically interoperable research medical data and meta data extraction strategy
skos:notation
RIV/49777513:23520/11:43896524!RIV12-GA0-23520___
n14:predkladatel
n21:orjk%3A23520
n5:aktivita
n15:P
n5:aktivity
P(GA106/09/0740)
n5:dodaniDat
n8:2012
n5:domaciTvurceVysledku
n13:5313147 n13:8944296
n5:druhVysledku
n19:D
n5:duvernostUdaju
n7:S
n5:entitaPredkladatele
n22:predkladatel
n5:idSjednocenehoVysledku
228759
n5:idVysledku
RIV/49777513:23520/11:43896524
n5:jazykVysledku
n18:eng
n5:klicovaSlova
cerebrovascular diseases, DASTA, DICOM, HL7, interprobility, medical data, ontology
n5:klicoveSlovo
n12:DICOM n12:cerebrovascular%20diseases n12:DASTA n12:interprobility n12:HL7 n12:medical%20data n12:ontology
n5:kontrolniKodProRIV
[458026C7D264]
n5:mistoKonaniAkce
Shanghai
n5:mistoVydani
Piscataway
n5:nazevZdroje
BMEI 2011
n5:obor
n16:IN
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
2
n5:projekt
n20:GA106%2F09%2F0740
n5:rokUplatneniVysledku
n8:2011
n5:tvurceVysledku
Klečková, Jana Včelák, Petr
n5:typAkce
n6:WRD
n5:zahajeniAkce
2011-10-15+02:00
s:numberOfPages
5
n17:hasPublisher
IEEE
n9:isbn
978-1-4577-1447-4
n11:organizacniJednotka
23520