Personalized prediction of live birth prior to the first in vitro fertilization treatment: a machine learning method

BACKGROUND: Infertility has become a global health issue with the number of couples seeking in vitro fertilization (IVF) worldwide continuing to rise. Some couples remain childless after several IVF cycles. Women undergoing IVF face greater risks and financial burden. A prediction model to predict t...

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Detalles Bibliográficos
Autores principales: Qiu, Jiahui, Li, Pingping, Dong, Meng, Xin, Xing, Tan, Jichun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757430/
https://www.ncbi.nlm.nih.gov/pubmed/31547822
http://dx.doi.org/10.1186/s12967-019-2062-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757430/
https://www.ncbi.nlm.nih.gov/pubmed/31547822
http://dx.doi.org/10.1186/s12967-019-2062-5

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