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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F06%3A03117778%21RIV07-GA0-21230___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
Není k dispozici The paper suggests a technique for searching temporal patterns, which is tested on the hepatitis data set. Relevant preprocessed time series is divided into several periods with respect to the given significant instants (for example biopsy date or start of interferon application), development trends are computed. Then dependencies in form of complex association rules between these groups are searched for. We have focused on the analysis of differences between examination results before and after interferon therapy for hepatitis C patients. To reach this goal two software systems SumatraTT and LISp-Miner are combined -- sophisticated data transformations and enhancements are designed and ensured through SumatraTT while LISp-Miner takes care for the search of interesting significant differences in the preprocessed datasets. The paper suggests a technique for searching temporal patterns, which is tested on the hepatitis data set. Relevant preprocessed time series is divided into several periods with respect to the given significant instants (for example biopsy date or start of interferon application), development trends are computed. Then dependencies in form of complex association rules between these groups are searched for. We have focused on the analysis of differences between examination results before and after interferon therapy for hepatitis C patients. To reach this goal two software systems SumatraTT and LISp-Miner are combined -- sophisticated data transformations and enhancements are designed and ensured through SumatraTT while LISp-Miner takes care for the search of interesting significant differences in the preprocessed datasets.
dcterms:title
Mining in Complex Medical Data - a Case Study Mining in Complex Medical Data - a Case Study Není k dispozici
skos:prefLabel
Mining in Complex Medical Data - a Case Study Není k dispozici Mining in Complex Medical Data - a Case Study
skos:notation
RIV/68407700:21230/06:03117778!RIV07-GA0-21230___
n3:strany
37 ; 47
n3:aktivita
n4:P
n3:aktivity
P(GA201/05/0325)
n3:dodaniDat
n8:2007
n3:domaciTvurceVysledku
n13:9942904 n13:8325529 n13:5112605 n13:1603981 n13:7943555
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n17:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
485916
n3:idVysledku
RIV/68407700:21230/06:03117778
n3:jazykVysledku
n16:eng
n3:klicovaSlova
LISp-Miner; SumatraTT; data mining; data preprocessing; medical data; time series
n3:klicoveSlovo
n7:data%20mining n7:time%20series n7:data%20preprocessing n7:medical%20data n7:SumatraTT n7:LISp-Miner
n3:kontrolniKodProRIV
[3F6041B93D04]
n3:mistoKonaniAkce
Hradec Králové
n3:mistoVydani
Ostrava
n3:nazevZdroje
Znalosti 2006
n3:obor
n6:JC
n3:pocetDomacichTvurcuVysledku
5
n3:pocetTvurcuVysledku
8
n3:projekt
n10:GA201%2F05%2F0325
n3:rokUplatneniVysledku
n8:2006
n3:tvurceVysledku
Koemen, Petr Nováková, Lenka Šimunek, M. Rauch, J. Žáková, Monika Kejkula, M. Aubrecht, Petr Štipánková, Olga
n3:typAkce
n20:EUR
n3:zahajeniAkce
2006-02-01+01:00
s:numberOfPages
11
n19:hasPublisher
Vysoká škola báňská - Technická univerzita Ostrava
n21:isbn
80-248-1001-8
n15:organizacniJednotka
21230