A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer

OBJECTIVE: Distant metastasis other than non-regional lymph nodes and lung (i.e., M1b stage) significantly contributes to the poor survival prognosis of patients with germ cell testicular cancer (GCTC). The aim of this study was to develop a machine learning (ML) algorithm model to predict the risk...

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Detalles Bibliográficos
Autores principales: Ding, Li, Wang, Kun, Zhang, Chi, Zhang, Yang, Wang, Kanlirong, Li, Wang, Wang, Junqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277219/
https://www.ncbi.nlm.nih.gov/pubmed/35844840
http://dx.doi.org/10.3389/fpubh.2022.916513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277219/
https://www.ncbi.nlm.nih.gov/pubmed/35844840
http://dx.doi.org/10.3389/fpubh.2022.916513

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