Predicting implantation outcome of in vitro fertilization and intracytoplasmic sperm injection using data mining techniques

ABSTRACT

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