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

Autor: Malinowski Paweł, Milewski Robert, Ziniewicz Piotr, Milewska Anna Justyna, Czerniecki Jan, Wołczyński Sławomir
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Studies in Logic, Grammar and Rhetoric, Vol 39, Iss 1, Pp 67-74 (2014)
Druh dokumentu: article
ISSN: 0860-150X
2199-6059
DOI: 10.2478/slgr-2014-0044
Popis: 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.
Databáze: Directory of Open Access Journals