1.  34
    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.
    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 (...)
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  2.  15
    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.
    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 (...)
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    The Use of Log-linear Analysis for Pregnancy Prediction.Anna Justyna Milewska, Dorota Citko, Dorota Jankowska, Rafał Milewski, Katarzyna Konończuk, Teresa Więsak, Allen Morgan & Robert Milewski - 2018 - Studies in Logic, Grammar and Rhetoric 56 (1):7-18.
    Log-linear analysis is a practical tool for examining relationships, successfully applied in many fields of science. This paper discusses the topic of estimation of the chance of getting pregnant in couples that underwent ART insemination. The authors focus on finding significant interactions between variables, on the basis of which statistical models are built. With the use of results of log-linear analysis, a model predicting the chances of achieving a clinical pregnancy that contained interactions was successfully built. Moreover, it was more (...)
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