Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study

• Main Authors: Qingsong Xi (Author), Qiyu Yang (Author), Meng Wang (Author), Bo Huang (Author), Bo Zhang (Author), Zhou Li (Author), Shuai Liu (Author), Liu Yang (Author), Lixia Zhu (Author), Lei Jin (Author)
• Format: Book
• Published: BMC, 2021-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background To minimize the rate of in vitro fertilization (IVF)- associated multiple-embryo gestation, significant efforts have been made. Previous studies related to machine learning in IVF mainly focused on selecting the top-quality embryos to improve outcomes, however, in patients with s...