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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...
Autores principales: | Ding, Li, Wang, Kun, Zhang, Chi, Zhang, Yang, Wang, Kanlirong, Li, Wang, Wang, Junqi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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