Prediction of Infertility Treatment Outcomes Using Classification Trees
Anna Justyna Milewska, Dorota Jankowska, Urszula Cwalina, Dorota Citko, Teresa Więsak, Brian Acacio, Robert Jay Milewski · Studies in Logic Grammar and Rhetoric · 2016
Abstract Infertility is currently a common problem with causes that are often unexplained, which complicates treatment. In many cases, the use of ART methods provides the only possibility of getting pregnant. Analysis of this type of data is very complex. More and more often, data mining methods or artificial intelligence techniques are appropriate for solving such problems. In this study, classification trees were used for analysis. This resulted in obtaining a group of patients characterized most likely to get pregnant while using in vitro fertilization.