A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data

A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data

Abstract Study question To construct prediction models based on the Bayesian network (BN) learning method for the probability of fertilization failure (including low fertilization rate [LRF] and total fertilization failure [TFF]) in assisted reproductive technology (ART) treatment. Summary answer A...

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Bibliographic Details
Main Authors: Tian Tian, Fei Kong, Rui Yang, Xiaoyu Long, Lixue Chen, Ming Li, Qin Li, Yongxiu Hao, Yangbo He, Yunjun Zhang, Rong Li, Yuanyuan Wang, Jie Qiao
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Reproductive Biology and Endocrinology
Subjects:
In vitro fertilization
Intracytoplasmic sperm injection
Fertilization failure
Bayesian network
Prediction model
Online Access:https://doi.org/10.1186/s12958-023-01065-x

Internet

https://doi.org/10.1186/s12958-023-01065-x

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