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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| 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 |