Application of machine learning approaches to predict the 5-year survival status of patients with esophageal cancer

BACKGROUND: Accurate prognostic estimation for esophageal cancer (EC) patients plays an important role in the process of clinical decision-making. The objective of this study was to develop an effective model to predict the 5-year survival status of EC patients using machine learning (ML) algorithms...

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Detalles Bibliográficos
Autores principales: Gong, Xian, Zheng, Bin, Xu, Guobing, Chen, Hao, Chen, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662490/
https://www.ncbi.nlm.nih.gov/pubmed/34992804
http://dx.doi.org/10.21037/jtd-21-1107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662490/
https://www.ncbi.nlm.nih.gov/pubmed/34992804
http://dx.doi.org/10.21037/jtd-21-1107

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