A Bayesian network predicting survival of cervical cancer patients—Based on surveillance, epidemiology, and end results

This study aimed to build a comprehensive model for predicting the overall survival (OS) of cervical cancer patients who received standard treatments and to build a series of new stages based on the International Federation of Gynecologists and Obstetricians (FIGO) stages for better such predictions...

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Detalles Bibliográficos
Autores principales: Liu, Guangcong, Yang, Zhuo, Wang, Danbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
ORIGINAL ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986069/
https://www.ncbi.nlm.nih.gov/pubmed/36285478
http://dx.doi.org/10.1111/cas.15624

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986069/
https://www.ncbi.nlm.nih.gov/pubmed/36285478
http://dx.doi.org/10.1111/cas.15624

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