Deep learning models for predicting the survival of patients with chondrosarcoma based on a surveillance, epidemiology, and end results analysis

BACKGROUND: Accurate prediction of prognosis is critical for therapeutic decisions in chondrosarcoma patients. Several prognostic models have been created utilizing multivariate Cox regression or binary classification-based machine learning approaches to predict the 3- and 5-year survival of patient...

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Detalles Bibliográficos
Autores principales: Yan, Lizhao, Gao, Nan, Ai, Fangxing, Zhao, Yingsong, Kang, Yu, Chen, Jianghai, Weng, Yuxiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442032/
https://www.ncbi.nlm.nih.gov/pubmed/36072795
http://dx.doi.org/10.3389/fonc.2022.967758

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442032/
https://www.ncbi.nlm.nih.gov/pubmed/36072795
http://dx.doi.org/10.3389/fonc.2022.967758

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