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Classification issue in the ivf icsi/et data analysis

Robert Milewski, Paweł Malinowski, Anna Justyna Milewska, Piotr Ziniewicz, Jan Czerniecki, Piotr Pierzyński & Sławomir Wołczyński

Studies in Logic, Grammar and Rhetoric 29 (42) (2012)

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Classification issue in the ivf icsi/et data analysis: Early treatment outcome prognosis.Paweł Malinowski, Robert Milewski, Piotr Ziniewicz, Anna Justyna Milewsk, Jan Czerniecki & Sławomir Wołczyński - 2013 - Studies in Logic, Grammar and Rhetoric 35 (1):103-115.details Infertility is a serious social problem. Very often the only treatment possibility are IVF methods. This study explores the possibility of outcome prediction in the early stages of treatment. The data, collected from the previous treatment cycles, were divided into four subsets, which corresponded to the selected stages of treatment. On each such subset, sophisticated data mining analysis was carried out, with appropriate imputations and classification procedures. The obtained results indicate that there is a possibility of predicting the final outcome (...) Download Export citation Bookmark 2 citations
Analyzing Outcomes of Intrauterine Insemination Treatment by Application of Cluster Analysis or Kohonen Neural Networks.Anna Justyna Milewska, Dorota Jankowska, Urszula Cwalina, Teresa Więsak, Dorota Citko, Allen Morgan & Robert Milewski - 2013 - Studies in Logic, Grammar and Rhetoric 35 (1):7-25.details Intrauterine insemination is one of many treatments provided to infertility patients. Many factors such as, but not limited to, quality of semen, the age of a woman, and reproductive hormone levels contribute to infertility. Therefore, the aim of our study is to establish a statistical probability concerning the prediction of which groups of patients have a very good or poor prognosis for pregnancy after IUI insemination. For that purpose, we compare the results of two analyses: Cluster Analysis and Kohonen Neural (...) Download Export citation Bookmark 7 citations
Comparison of Artificial Neural Networks and Logistic Regression Analysis in Pregnancy Prediction Using the In Vitro Fertilization Treatment.Robert Milewski, Anna Justyna Milewska, Teresa Więsak & Allen Morgan - 2013 - Studies in Logic, Grammar and Rhetoric 35 (1):39-48.details Infertility is recognized as a major problem of modern society. Assisted Reproductive Technology is the one of many available treatment options to cure infertility. However, the efficiency of the ART treatment is still inadequate. Therefore, the procedure’s quality is constantly improving and there is a need to determine statistical predictors as well as contributing factors to the successful treatment. There is a concern over the application of adequate statistical analysis to clinical data: should classic statistical methods be used or would (...) Download Export citation Bookmark 5 citations
The Use of Data Mining Methods to Predict the Result of Infertility Treatment Using the IVF ET Method.Paweł Malinowski, Robert Milewski, Piotr Ziniewicz, Anna Justyna Milewska, Jan Czerniecki & Sławomir Wołczyński - 2014 - Studies in Logic, Grammar and Rhetoric 39 (1):67-74.details 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 (...) Download Export citation Bookmark 1 citation

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