2004
Ovarian hyperstimulation syndrome analysis of risk factors using data mining methods
HUDEČEK, Robert, Martin HUSER, Pavel VENTRUBA, Josef CHOVANEC, Jana ŠARMANOVÁ et. al.Základní údaje
Originální název
Ovarian hyperstimulation syndrome analysis of risk factors using data mining methods
Název česky
Ovarian hyperstimulation syndrome analysis of risk factors using data mining methods
Autoři
HUDEČEK, Robert (203 Česká republika), Martin HUSER (203 Česká republika), Pavel VENTRUBA (203 Česká republika, garant), Josef CHOVANEC (203 Česká republika), Jana ŠARMANOVÁ (203 Česká republika) a Zdenk ŠARMAN (203 Česká republika)
Vydání
1;2004. Athens, Book of abstracts XVIII th congres of EBCOG, od s. 215-216, 2 s. 2004
Nakladatel
EBCOG
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
30214 Obstetrics and gynaecology
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Kód RIV
RIV/00216224:14330/04:00012281
Organizační jednotka
Fakulta informatiky
Klíčová slova anglicky
Ovarian hyperstimulation syndrome; risk factors; data mining
Změněno: 13. 6. 2009 12:58, prof. MUDr. Martin Huser, Ph.D., MBA
V originále
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 system for 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 mining ACETN method which is designed to find statistically significant differences among input attributes of ovarian stimulation phase of AR cycle. The observed differences between input attributes were statistically tested and the value of statistical significance was calculated. Results: The frequency of ovarian hyperstimulation according to clinical and laboratory relevance was counted as follows: grade I. OHSS in 592 cycles (4,7%), grade II. OHSS in 762 cycles (6,1%), grade III. OHSS in 614 cycles (4,9%) and grade IV. OHSS in 488 cases (3,9%). Significantly higher incidence of OHSS was observed among patients under 30 years old, patients with OHSS in previous cycle and among couples with imunology and andrology factor of infertility. Ovarian stimulation with recombinant FSH combined with GnRH agonists or antagonists significantly raised the frequency of OHSS development in comparison with protocols using urinary FSH and clomifen citrate. Conclusions: We have proved the SHLUK data mining system applicable in the multivariable analysis of assisted reproduction cycles inputs and outcomes. Method ACETN makes possible to define statistically significant relations between individual attributes of the ovarian stimulation stage of AR cycle. Supported by IGA, No.: 7696-3, Ministry of Health of Czech Rep.
Česky
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 system for 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 mining ACETN method which is designed to find statistically significant differences among input attributes of ovarian stimulation phase of AR cycle. The observed differences between input attributes were statistically tested and the value of statistical significance was calculated. Results: The frequency of ovarian hyperstimulation according to clinical and laboratory relevance was counted as follows: grade I. OHSS in 592 cycles (4,7%), grade II. OHSS in 762 cycles (6,1%), grade III. OHSS in 614 cycles (4,9%) and grade IV. OHSS in 488 cases (3,9%). Significantly higher incidence of OHSS was observed among patients under 30 years old, patients with OHSS in previous cycle and among couples with imunology and andrology factor of infertility. Ovarian stimulation with recombinant FSH combined with GnRH agonists or antagonists significantly raised the frequency of OHSS development in comparison with protocols using urinary FSH and clomifen citrate. Conclusions: We have proved the SHLUK data mining system applicable in the multivariable analysis of assisted reproduction cycles inputs and outcomes. Method ACETN makes possible to define statistically significant relations between individual attributes of the ovarian stimulation stage of AR cycle. Supported by IGA, No.: 7696-3, Ministry of Health of Czech Rep.
Návaznosti
| NO7696, projekt VaV |
|