A prognostic system for epithelial ovarian carcinomas using machine learning

INTRODUCTION: Integrating additional factors into the International Federation of Gynecology and Obstetrics (FIGO) staging system is needed for accurate patient classification and survival prediction. In this study, we tested machine learning as a novel tool for incorporating additional prognostic p...

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Detalles Bibliográficos
Autores principales: Grimley, Philip M., Liu, Zhenqiu, Darcy, Kathleen M., Hueman, Matthew T., Wang, Huan, Sheng, Li, Henson, Donald E., Chen, Dechang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360140/
https://www.ncbi.nlm.nih.gov/pubmed/33665831
http://dx.doi.org/10.1111/aogs.14137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360140/
https://www.ncbi.nlm.nih.gov/pubmed/33665831
http://dx.doi.org/10.1111/aogs.14137

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