Prediction of Infertility Treatment Outcomes Using Classification Trees-Reference-Cited by-同舟云学术

Prediction of Infertility Treatment Outcomes Using Classification Trees

Published:2016-12-01 Issue:1 Volume:47 Page:7-19
ISSN:2199-6059
Container-title:Studies in Logic, Grammar and Rhetoric
language:en
Short-container-title:

Author:

Milewska Anna Justyna¹,Jankowska Dorota¹,Cwalina Urszula¹,Citko Dorota¹,Więsak Teresa²,Acacio Brian³,Milewski Robert¹

Affiliation:

1. Department of Statistics and Medical Informatics, Medical University of Bialystok, Poland

2. Department of Gamete and Embryo Biology, Institute of Animal Reproduction and Food Research of Polish Academy of Sciences, Olsztyn, Poland

3. Acacio Fertility Center, Laguna Niguel, California, United States of America

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Philosophy

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