Factors Associated with In Vitro Fertilization Live Birth Outcome: A Comparison of Different Classification Methods.
Factors Associated with In Vitro Fertilization Live Birth Outcome: A Comparison of Different Classification Methods.
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DOI：
10.22074/ijfs.2020.134582
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发表时间：
2021-04
影响因子：
2.5
通讯作者：
Ghaheri A
中科院分区：
文献类型：
--
作者：
Amini P;Ramezanali F;Parchehbaf-Kashani M;Maroufizadeh S;Omani-Samani R;Ghaheri A
体外受精（IVF）是一种有用的辅助生殖技术，可以帮助不孕夫妇实现怀孕。然而，通过控制IVF的影响因素来优化IVF的成功率非常重要。本研究旨在根据夫妇的特征以及卵母细胞、精子和胚胎的现有数据，使用多种分类方法对体外受精后的成功分娩进行分类。这项历史队列研究是在伊朗德黑兰的一家转诊不孕不育中心进行的。收集2011年3月21日至2014年3月20日期间6071个周期的患者人口统计学和临床变量。我们使用了六种不同的机器学习方法，包括支持向量机 (SVM)、极限梯度提升 (XGBoost)、逻辑回归 (LR)、随机森林 (RF)、朴素贝叶斯 (NB) 和线性判别分析 (LDA) 来预测成功交付。使用精度工具比较所执行方法的结果。 4930个周期中，分娩成功率为81.2%。 RF 的结果总精度在六种方法中表现最好（ACC=0.81）。就变量的重要性而言，胚胎总数、注射卵母细胞数量、不孕原因、女性年龄和多囊卵巢综合征（PCOS）是预测成功分娩的最重要因素。不孕个体体外受精后的成功分娩很大程度上受到胚胎数量、注射卵母细胞数量、不孕原因、女性年龄和多囊卵巢综合症的影响。
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. 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. 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. 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.