Home // HEALTHINFO 2019, The Fourth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing // View article

Predicting the Chances of Live Birth for Couples Undergoing In Vitro Treatments Using Decision Trees

Authors:
Bruna Estácio da Veiga
Fernando Ferreira
José Luís Metello
José Manuel Fonseca

Keywords: artificial intelligence; decision tree; machine learning; in vitro; infertility.

Abstract:
In developed countries, the prevalence of infertility ranges from 3.5% to 16.7%. There are several factors that affect the success rate of in vitro treatments and so every couple has a singular probability of success which can be predicted. As these treatments are complex and expensive with a variable probability of success, the most common question asked by in vitro fertilization patients is ‘‘What are my chances of conceiving?”. Classical statistics and artificial intelligence models have been published in the literature. So far, artificial intelligent prediction models are not aimed at live birth but rather at pregnancy and use undergoing treatment features. The main aim of this study is to develop a classification tree model that estimates the chance of a live birth before In Vitro Fertilization (IVF) treatments. This decision tree might result in a new clinical support system that helps physicians to deal with the couple's expectations.

Pages: 5 to 10

Copyright: Copyright (c) IARIA, 2019

Publication date: November 24, 2019

Published in: conference

ISSN: 2519-8491

ISBN: 978-1-61208-759-7

Location: Valencia, Spain

Dates: from November 24, 2019 to November 28, 2019