Predicting the survival of patients with pancreatic neuroendocrine neoplasms using deep learning: A study based on Surveillance, Epidemiology, and End Results database

BACKGROUND: The study aims to evaluate the performance of three advanced machine learning algorithms and a traditional Cox proportional hazard (CoxPH) model in predicting the overall survival (OS) of patients with pancreatic neuroendocrine neoplasms (PNENs). METHOD: The clinicopathological dataset o...

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Detalles Bibliográficos
Autores principales: Jiang, Chen, Wang, Kan, Yan, Lizhao, Yao, Hailing, Shi, Huiying, Lin, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278508/
https://www.ncbi.nlm.nih.gov/pubmed/37165971
http://dx.doi.org/10.1002/cam4.5949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278508/
https://www.ncbi.nlm.nih.gov/pubmed/37165971
http://dx.doi.org/10.1002/cam4.5949

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