Deep learning based prediction of prognosis in nonmetastatic clear cell renal cell carcinoma

Survival analyses for malignancies, including renal cell carcinoma (RCC), have primarily been conducted using the Cox proportional hazards (CPH) model. We compared the random survival forest (RSF) and DeepSurv models with the CPH model to predict recurrence-free survival (RFS) and cancer-specific su...

Descripción completa

Detalles Bibliográficos
Autores principales: Byun, Seok-Soo, Heo, Tak Sung, Choi, Jeong Myeong, Jeong, Yeong Seok, Kim, Yu Seop, Lee, Won Ki, Kim, Chulho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806580/
https://www.ncbi.nlm.nih.gov/pubmed/33441830
http://dx.doi.org/10.1038/s41598-020-80262-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806580/
https://www.ncbi.nlm.nih.gov/pubmed/33441830
http://dx.doi.org/10.1038/s41598-020-80262-9

Ejemplares similares