Ovarian hyperstimulation syndrome analysis of risk factors using data mining methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F04%3A00012281" target="_blank" >RIV/00216224:14330/04:00012281 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Ovarian hyperstimulation syndrome analysis of risk factors using data mining methods
Original language description
OVARIAN HYPERSTIMULATION SYNDROME - ANALYSIS OF RISK FACTORS USING DATA MINING METHODS Hudeek, R.1), Huser, M.1), Ventruba, P.1), Chovanec, J. 1), Šarmanová, J.2), Šarman, Z.2): 1) Dept.of Gynecology and Obstetrics, Masaryk University, Brno, Czech Republic, 2) Dept.of Electrical Engineering and Computer Science, Technical University, Ostrava, Czech, Republic. Introduction: Development of explorative computer data analysis of ovarian stimulation phase of assisted reproduction (AR) cycle using the systemfor data mining SHLUK. The study focuses on ovarian hyperstimulation risk factors analysis of the clinical data using data mining method. Materials and method: Analyzed file included data about 12 527 AR cycles in Dept. of Gynecology and Obstetrics, Masaryk University, Brno. Cycles leaded to development of ovarian hyperstimulation syndrom (OHSS) were analyzed (2456 cases, 19,6 % of cycles). Both the OHSS complicated cases and cases without ovarian hyperstimulation was tested by data mini
Czech name
Ovarian hyperstimulation syndrome analysis of risk factors using data mining methods
Czech description
OVARIAN HYPERSTIMULATION SYNDROME - ANALYSIS OF RISK FACTORS USING DATA MINING METHODS Hudeek, R.1), Huser, M.1), Ventruba, P.1), Chovanec, J. 1), Šarmanová, J.2), Šarman, Z.2): 1) Dept.of Gynecology and Obstetrics, Masaryk University, Brno, Czech Republic, 2) Dept.of Electrical Engineering and Computer Science, Technical University, Ostrava, Czech, Republic. Introduction: Development of explorative computer data analysis of ovarian stimulation phase of assisted reproduction (AR) cycle using the systemfor data mining SHLUK. The study focuses on ovarian hyperstimulation risk factors analysis of the clinical data using data mining method. Materials and method: Analyzed file included data about 12 527 AR cycles in Dept. of Gynecology and Obstetrics, Masaryk University, Brno. Cycles leaded to development of ovarian hyperstimulation syndrom (OHSS) were analyzed (2456 cases, 19,6 % of cycles). Both the OHSS complicated cases and cases without ovarian hyperstimulation was tested by data mini
Classification
Type
D - Article in proceedings
CEP classification
FK - Gynaecology and obstetrics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/NO7696" target="_blank" >NO7696: Ovarian cancer and therapy of infertility using in vitro fertilization - the risk factors analysis by system for data minig SHLUK and artefitial neural network NEUL3.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Book of abstracts XVIII th congres of EBCOG
ISBN
1213-1318
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
215-216
Publisher name
EBCOG
Place of publication
Athens
Event location
Atény
Event date
Jan 1, 2004
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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