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Statements

Subject Item
n2:RIV%2F00216208%3A11140%2F10%3A10129600%21RIV13-MSM-11140___
rdf:type
n19:Vysledek skos:Concept
rdfs:seeAlso
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5678542&contentType=Conference+Publications&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A5678008%29%26pageNumber%3D3
dcterms:description
The cerebrovascular diseases research are based on de-identified real patient's data received from a collaborating centre. The goal of research is to take advantage of heterogeneous medical data relationships. Medical data relationships leads to get more data mining facilities in studying of dependencies and crucial values of parameters in a huge volume of real imaging examinations with clinical and therapeutic data. There are lot of difficulties and security issues when providing research on medical data. Medical data and research results in the knowledge base should notable contribute to give a solution to a complex of cerebrovascular diseases problem. The knowledge base and de-identified real patient data can be used in a practical education and as a diagnostic tool. The cerebrovascular diseases research are based on de-identified real patient's data received from a collaborating centre. The goal of research is to take advantage of heterogeneous medical data relationships. Medical data relationships leads to get more data mining facilities in studying of dependencies and crucial values of parameters in a huge volume of real imaging examinations with clinical and therapeutic data. There are lot of difficulties and security issues when providing research on medical data. Medical data and research results in the knowledge base should notable contribute to give a solution to a complex of cerebrovascular diseases problem. The knowledge base and de-identified real patient data can be used in a practical education and as a diagnostic tool.
dcterms:title
Cerebrovascular diseases research based on heterogeneous medical data mining and knowledge base Cerebrovascular diseases research based on heterogeneous medical data mining and knowledge base
skos:prefLabel
Cerebrovascular diseases research based on heterogeneous medical data mining and knowledge base Cerebrovascular diseases research based on heterogeneous medical data mining and knowledge base
skos:notation
RIV/00216208:11140/10:10129600!RIV13-MSM-11140___
n3:aktivita
n7:S
n3:aktivity
S
n3:dodaniDat
n14:2013
n3:domaciTvurceVysledku
n8:6161294
n3:druhVysledku
n15:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
249941
n3:idVysledku
RIV/00216208:11140/10:10129600
n3:jazykVysledku
n10:eng
n3:klicovaSlova
Security issues; Research results; Patient data; Medical data mining; Medical data; Knowledge base; Diagnostic tools; Cerebrovascular disease
n3:klicoveSlovo
n4:Diagnostic%20tools n4:Patient%20data n4:Research%20results n4:Security%20issues n4:Medical%20data n4:Cerebrovascular%20disease n4:Knowledge%20base n4:Medical%20data%20mining
n3:kontrolniKodProRIV
[CA03C21C4C3D]
n3:mistoKonaniAkce
London
n3:mistoVydani
London
n3:nazevZdroje
The 5th International Conference for Internet Technology and Secured Transactions (ICITST-2010)
n3:obor
n11:FH
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n14:2010
n3:tvurceVysledku
Včelák, Petr Klečková, Jana Rohan, Vladimír
n3:typAkce
n16:WRD
n3:zahajeniAkce
2010-11-08+01:00
s:numberOfPages
6
n17:hasPublisher
Neuveden
n9:isbn
978-0-9564263-6-9
n12:organizacniJednotka
11140