Predicting Implantation Outcome of In Vitro Fertilization and Intracytoplasmic Sperm Injection Using Data Mining Techniques
نویسندگان
چکیده مقاله:
Objective The main purpose of this article is to choose the best predictive model for IVF/ICSI classification and to calculate the probability of IVF/ICSI success for each couple using Artificial intelligence. Also, we aimed to find the most effective factors for prediction of ART success in infertile couples. MaterialsAndMethods In this cross-sectional study, the data of 486 patients are collected using census method. The IVF/ICSI dataset contains 29 variables along with the label of each patient that is either negative or positive. Mean accuracy and mean area under the receiver operating characteristic (ROC) curve are calculated for the classifiers. Sensitivity, specificity, positive and negative predictive values, and likelihood ratios of classifiers are employed as the performance indicators. The state-of-art classifiers which are candidate for this study include support vector machines (SVM), recursive partitioning (RPART), random forest (RF), adaptive boosting (Adaboost), and one-nearest neighbor (1NN). Results Random forest and recursive partitioning outperform the other compared methods. The results revealed the areas under the ROC curve (AUC) as 84.23% and 82.05%, respectively. The importance of features was extracted from the output of recursive partitioning. The results demonstrate that the probability of pregnancy is low for women aged above 38. Conclusion Random forest and recursive partitioning predict IVF/ICSI cases better than other decision makers. Elicited decision rules of recursive partitioning determine useful predictive features of IVF/ICSI. The age of woman, number of developed embryos, and serum E2 level on the day of hCG administration are the three best features (out of 20), respectively.
منابع مشابه
Predicting Implantation Outcome of In Vitro Fertilization and Intracytoplasmic Sperm Injection Using Data Mining Techniques
Background In vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) are two important subsets of the assisted reproductive techniques, used for the treatment of infertility. Predicting implantation outcome of IVF/ICSI or the chance of pregnancy is essential for infertile couples, since these treatments are complex and expensive with a low probability of conception. MATERIALS A...
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با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
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عنوان ژورنال
دوره 11 شماره 3
صفحات 184- 190
تاریخ انتشار 2017-10-01
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