Predicting Implantation Outcome of In Vitro Fertilization and Intracytoplasmic Sperm Injection Using Data Mining Techniques
Authors
Abstract:
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.
similar resources
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...
full textRelationship between Endometrial Thickness and In Vitro Fertilization-Intracytoplasmic Sperm Injection Outcome
full text
In vitro fertilization by intracytoplasmic sperm injection.
Intracytoplasmic sperm injection (ICSI) is the latest, and by far the most efficient, variant of micromanipulation-assisted fertilization, whereby a single spermatozoon is selected, aspirated into a microinjection needle and injected to the oocyte cytoplasm. The development of this technique is mainly linked to application in human assisted reproduction for which it enables fertilization with d...
full textNew Trends in Assisted Reproduction Techniques: Cryopreservation, In vitro Fertilization, Intracytoplasmic Sperm Injection and Physiological Intracytoplasmic Sperm Injection
Since that historically the first human birth was registered through in vitro fertilization in 1978, the improvement and creation of new assisted reproduction techniques such as intracytoplasmic sperm injection and physiological intracytoplasmic sperm injection have become of great importance nowadays. Louise Brown was the first baby conceived through in vitro fertilization in England. Since th...
full textthe clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
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...
In vitro fertilization/intracytoplasmic sperm injection for male infertility
Progress in the field of assisted reproduction, and particularly micromanipulation, now heralds a new era in the management of severe male factor infertility, not amenable to medical or surgical correction. By overcoming natural barriers to conception, in vitro fertilization and embryo transfer (IVF-ET), subzonal sperm insemination, partial zona dissection, and intracytoplasmatic injection of s...
full textMy Resources
Journal title
volume 11 issue 3
pages 184- 190
publication date 2017-10-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023