Machine learning‑based prediction of survival prognosis in esophageal squamous cell carcinoma

The current prognostic tools for esophageal squamous cell carcinoma (ESCC) lack the necessary accuracy to facilitate individualized patient management strategies. To address this issue, this study was conducted to develop a machine learning (ML) prediction model for ESCC patients' survival mana...

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Detalles Bibliográficos
Autores principales: Zhang, Kaijiong, Ye, Bo, Wu, Lichun, Ni, Sujiao, Li, Yang, Wang, Qifeng, Zhang, Peng, Wang, Dongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439907/
https://www.ncbi.nlm.nih.gov/pubmed/37598277
http://dx.doi.org/10.1038/s41598-023-40780-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439907/
https://www.ncbi.nlm.nih.gov/pubmed/37598277
http://dx.doi.org/10.1038/s41598-023-40780-8

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