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Factors Associated with In Vitro Fertilization Live Birth Outcome: A Comparison of Different Classification Methods.
- Source :
- International Journal of Fertility & Sterility; Apr-Jun2021, Vol. 15 Issue 2, p128-134, 7p
- Publication Year :
- 2021
-
Abstract
- Background: In vitro fertilization (IVF) is a useful assisted reproductive technology to achieve pregnancy in infertile couples. However, it is very important to optimize the success rate after IVF by controlling for its influencing factors. This study aims to classify successful deliveries after IVF according to couples' characteristics and available data on oocytes, sperm, and embryos using several classification methods. Materials and Methods: This historical cohort study was conducted in a referral infertility centre located in Tehran, Iran. The patients' demographic and clinical variables for 6071 cycles during March 21, 2011 to March 20, 2014 were collected. We used six different machine learning approaches including support vector machine (SVM), extreme gradient boosting (XGBoost), logistic regression (LR), random forest (RF), naïve Bayes (NB), and linear discriminant analysis (LDA) to predict successful delivery. The results of the performed methods were compared using accuracy tools. Results: The rate of successful delivery was 81.2% among 4930 cycles. The total accuracy of the results exposed RF had the best performance among the six approaches (ACC=0.81). Regarding the importance of variables, total number of embryos, number of injected oocytes, cause of infertility, female age, and polycystic ovary syndrome (PCOS) were the most important factors predicting successful delivery. Conclusion: A successful delivery following IVF in infertile individuals is considerably affected by the number of embryos, number of injected oocytes, cause of infertility, female age, and PCOS. [ABSTRACT FROM AUTHOR]
- Subjects :
- SUPPORT vector machines
EMBRYOS
POLYCYSTIC ovary syndrome
OVUM
AGE distribution
MACHINE learning
RANDOM forest algorithms
DISCRIMINANT analysis
PREGNANCY outcomes
INFERTILITY
DESCRIPTIVE statistics
HUMAN reproductive technology
DELIVERY (Obstetrics)
FERTILIZATION in vitro
SPERMATOZOA
LOGISTIC regression analysis
SUCCESS
LONGITUDINAL method
PROBABILITY theory
Subjects
Details
- Language :
- English
- ISSN :
- 2008076X
- Volume :
- 15
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- International Journal of Fertility & Sterility
- Publication Type :
- Academic Journal
- Accession number :
- 149941900
- Full Text :
- https://doi.org/10.22074/IJFS.2020.134582