The Use of Data Mining Methods to Predict the Result of Infertility Treatment Using the IVF ET Method | Zendy

Paweł Malinowski | Zendy; Robert Milewski | Zendy; Piotr Ziniewicz | Zendy; Anna Justyna Milewska | Zendy; Jan Czerniecki | Zendy; Sławomir Wołczyński | Zendy

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The Use of Data Mining Methods to Predict the Result of Infertility Treatment Using the IVF ET Method

Author(s) -

Paweł Malinowski,

Robert Milewski,

Piotr Ziniewicz,

Anna Justyna Milewska,

Jan Czerniecki,

Sławomir Wołczyński

Publication year - 2014

Publication title -

studies in logic grammar and rhetoric

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.121

H-Index - 12

eISSN - 2199-6059

pISSN - 0860-150X

DOI - 10.2478/slgr-2014-0044

Subject(s) - infertility , computer science , process (computing) , statistical analysis , data mining , statistics , mathematics , pregnancy , biology , genetics , operating system

The IVF ET method is a scientifically recognized infertility treat- ment method. The problem, however, is this method’s unsatisfactory efficiency. This calls for a more thorough analysis of the information available in the treat- ment process, in order to detect the factors that have an effect on the results, as well as to effectively predict result of treatment. Classical statistical methods have proven to be inadequate in this issue. Only the use of modern methods of data mining gives hope for a more effective analysis of the collected data. This work provides an overview of the new methods used for the analysis of data on infertility treatment, and formulates a proposal for further directions for research into increasing the efficiency of the predicted result of the treatment process

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