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

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 BN mode...

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Detalles Bibliográficos
Autores principales: Tian, Tian, Kong, Fei, Yang, Rui, Long, Xiaoyu, Chen, Lixue, Li, Ming, Li, Qin, Hao, Yongxiu, He, Yangbo, Zhang, Yunjun, Li, Rong, Wang, Yuanyuan, Qiao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878771/
https://www.ncbi.nlm.nih.gov/pubmed/36703171
http://dx.doi.org/10.1186/s12958-023-01065-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878771/
https://www.ncbi.nlm.nih.gov/pubmed/36703171
http://dx.doi.org/10.1186/s12958-023-01065-x

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