Analysis of systemic scleroderma patient dataset

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F21%3A73609663" target="_blank" >RIV/61989592:15110/21:73609663 - isvavai.cz</a>
Result on the web
<a href="http://wofex.vsb.cz/2021/" target="_blank" >http://wofex.vsb.cz/2021/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Analysis of systemic scleroderma patient dataset
Original language description
In this paper, we describe the procedure and present the results of the analysis of a dataset of patients with systemic scleroderma. The aim of the analysis was to classify the data based on three attributes of interest. Before classification, the data needed to be preprocessed into a suitable form. A large number of generally available models were systematically tested, from which the three that showed the best classification quality were selected. In addition to the classification itself, it was also an important task to select those attributes that are relevant for the classification of each attribute of interest.
Czech name
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Czech description
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Project
<a href="/en/project/NU21J-01-00017" target="_blank" >NU21J-01-00017: Early detection of Graves’ Orbitopathy development in patients with thyroid dysfunction and methods for assessing its activity and severity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of papers
ISBN
978-80-248-4523-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
416-421
Publisher name
Faculty of Electrical Engineering and Computer Science, VSB – Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Sep 1, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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