Mining in Complex Medical Data - a Case Study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A03117778" target="_blank" >RIV/68407700:21230/06:03117778 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Mining in Complex Medical Data - a Case Study
Original language description
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 startof 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.
Czech name
Není k dispozici
Czech description
Není k dispozici

Project
<a href="/en/project/GA201%2F05%2F0325" target="_blank" >GA201/05/0325: New methods and tools for knowledge discovery in databases</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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