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Ovarian hyperstimulation syndrome development in assisted reproduction treatment ? risk factors analysis using data mining

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F06%3A00018871" target="_blank" >RIV/00216224:14110/06:00018871 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/06:00013700

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Ovarian hyperstimulation syndrome development in assisted reproduction treatment ? risk factors analysis using data mining

  • Original language description

    BACKGROUND: Aim of this study is to define the risk factors of ovarian hyperstimulation syndrome onset during assisted reproduction treatment using in vitro fertilization technique. Exploratory computer analysis of electronically stored data about assisted reproduction treatment cycles in clinical registry with the use of data mining system. MATERIALS: Analyzed file included data of 12 527 monitored cycles from 1989 to 2003. Cycles which leaded to development of ovarian hyperstimulation syndrom were analyzed (2456 cases, 19,6 % of cycles). METHODS: Both the ovarian hyperstimulation syndrome complicated cases and cases without ovarian hyperstimulation were tested by data mining method which is designed to find statistically significant differences amonginput attributes of ovarian stimulation phase of therapeutic cycles. The observed differences between input attributes were statistically tested and the value of statistical significance was evaluated. RESULTS: Significantly higher incid

  • Czech name

    Ovarian hyperstimulation syndrome development in assisted reproduction treatment ? risk factors analysis using data mining

  • Czech description

    BACKGROUND: Aim of this study is to define the risk factors of ovarian hyperstimulation syndrome onset during assisted reproduction treatment using in vitro fertilization technique. Exploratory computer analysis of electronically stored data about assisted reproduction treatment cycles in clinical registry with the use of data mining system. MATERIALS: Analyzed file included data of 12 527 monitored cycles from 1989 to 2003. Cycles which leaded to development of ovarian hyperstimulation syndrom were analyzed (2456 cases, 19,6 % of cycles). METHODS: Both the ovarian hyperstimulation syndrome complicated cases and cases without ovarian hyperstimulation were tested by data mining method which is designed to find statistically significant differences amonginput attributes of ovarian stimulation phase of therapeutic cycles. The observed differences between input attributes were statistically tested and the value of statistical significance was evaluated. RESULTS: Significantly higher incid

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FK - Gynaecology and obstetrics

  • OECD FORD branch

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

    2006

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Scripta medica

  • ISSN

    1211-3395

  • e-ISSN

  • Volume of the periodical

    2006

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    11

  • Pages from-to

    329-340

  • UT code for WoS article

  • EID of the result in the Scopus database