Predicting Survival of Patients With Rectal Neuroendocrine Tumors Using Machine Learning: A SEER-Based Population Study

Background: The number of patients diagnosed with rectal neuroendocrine tumors (R-NETs) is increasing year by year. An integrated survival predictive model is required to predict the prognosis of R-NETs. The present study is aimed at exploring epidemiological characteristics of R-NETs based on a ret...

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Detalles Bibliográficos
Autores principales: Cheng, Xiaoyun, Li, Jinzhang, Xu, Tianming, Li, Kemin, Li, Jingnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595336/
https://www.ncbi.nlm.nih.gov/pubmed/34805260
http://dx.doi.org/10.3389/fsurg.2021.745220

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595336/
https://www.ncbi.nlm.nih.gov/pubmed/34805260
http://dx.doi.org/10.3389/fsurg.2021.745220

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