Artificial intelligence prediction model for overall survival of clear cell renal cell carcinoma based on a 21-gene molecular prognostic score system

We developed and validated a new prognostic model for predicting the overall survival in clear cell renal cell carcinoma (ccRCC) patients. In this study, artificial intelligence (AI) algorithms including random forest and neural network were trained to build a molecular prognostic score (mPS) system...

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Detalles Bibliográficos
Autores principales: Peng, Qiliang, Shen, Yi, Fu, Kai, Dai, Zheng, Jin, Lu, Yang, Dongrong, Zhu, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993746/
https://www.ncbi.nlm.nih.gov/pubmed/33686949
http://dx.doi.org/10.18632/aging.202594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993746/
https://www.ncbi.nlm.nih.gov/pubmed/33686949
http://dx.doi.org/10.18632/aging.202594

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