Artificial Intelligence-Based Prognostic Model for Urologic Cancers: A SEER-Based Study

SIMPLE SUMMARY: We describe a risk profile reconstruction model for cancer-specific survival estimation for continuous time points after urologic cancer diagnosis. We used artificial intelligence (AI)-based algorithms, a national cancer registry data, and accessible clinical parameters for the risk-...

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Detalles Bibliográficos
Autores principales: Eminaga, Okyaz, Shkolyar, Eugene, Breil, Bernhard, Semjonow, Axel, Boegemann, Martin, Xing, Lei, Tinay, Ilker, Liao, Joseph C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264864/
https://www.ncbi.nlm.nih.gov/pubmed/35804904
http://dx.doi.org/10.3390/cancers14133135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264864/
https://www.ncbi.nlm.nih.gov/pubmed/35804904
http://dx.doi.org/10.3390/cancers14133135

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