Development and validation of a machine learning model for survival risk stratification after esophageal cancer surgery

BACKGROUND: Prediction of prognosis for patients with esophageal cancer(EC) is beneficial for their postoperative clinical decision-making. This study’s goal was to create a dependable machine learning (ML) model for predicting the prognosis of patients with EC after surgery. METHODS: The files of p...

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Detalles Bibliográficos
Autores principales: Xu, Jinye, Zhou, Jianghui, Hu, Junxi, Ren, Qinglin, Wang, Xiaolin, Shu, Yusheng
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/PMC9780661/
https://www.ncbi.nlm.nih.gov/pubmed/36568178
http://dx.doi.org/10.3389/fonc.2022.1068198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780661/
https://www.ncbi.nlm.nih.gov/pubmed/36568178
http://dx.doi.org/10.3389/fonc.2022.1068198

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