Predicting survival of advanced laryngeal squamous cell carcinoma: comparison of machine learning models and Cox regression models

Laryngeal squamous cell carcinoma (LSCC) is a common tumor type. High recurrence rates remain an important factor affecting the survival and quality of life of advanced LSCC patients. We aimed to build a new nomogram and a random survival forest model using machine learning to predict the risk of LS...

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Detalles Bibliográficos
Autores principales: Zhang, Yi-Fan, Shen, Yu-Jie, Huang, Qiang, Wu, Chun-Ping, Zhou, Liang, Ren, Heng-Lei
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/PMC10613248/
https://www.ncbi.nlm.nih.gov/pubmed/37898687
http://dx.doi.org/10.1038/s41598-023-45831-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613248/
https://www.ncbi.nlm.nih.gov/pubmed/37898687
http://dx.doi.org/10.1038/s41598-023-45831-8

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