Which model is better in predicting the survival of laryngeal squamous cell carcinoma?: Comparison of the random survival forest based on machine learning algorithms to Cox regression: analyses based on SEER database

Prediction of postoperative survival for laryngeal carcinoma patients is very important. This study attempts to demonstrate the utilization of the random survival forest (RSF) and Cox regression model to predict overall survival of laryngeal squamous cell carcinoma (LSCC) and compare their performan...

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Detalles Bibliográficos
Autores principales: Sun, Haili, Wu, Shuangshuang, Li, Shaoxiao, Jiang, Xiaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
6600
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997795/
https://www.ncbi.nlm.nih.gov/pubmed/36897699
http://dx.doi.org/10.1097/MD.0000000000033144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997795/
https://www.ncbi.nlm.nih.gov/pubmed/36897699
http://dx.doi.org/10.1097/MD.0000000000033144

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