Progression-Free Survival Prediction in Patients with Nasopharyngeal Carcinoma after Intensity-Modulated Radiotherapy: Machine Learning vs. Traditional Statistics

Background: The Cox proportional hazards (CPH) model is the most commonly used statistical method for nasopharyngeal carcinoma (NPC) prognostication. Recently, machine learning (ML) models are increasingly adopted for this purpose. However, only a few studies have compared the performances between C...

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Detalles Bibliográficos
Autores principales: Oei, Ronald Wihal, Lyu, Yingchen, Ye, Lulu, Kong, Fangfang, Du, Chengrun, Zhai, Ruiping, Xu, Tingting, Shen, Chunying, He, Xiayun, Kong, Lin, Hu, Chaosu, Ying, Hongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398698/
https://www.ncbi.nlm.nih.gov/pubmed/34442430
http://dx.doi.org/10.3390/jpm11080787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398698/
https://www.ncbi.nlm.nih.gov/pubmed/34442430
http://dx.doi.org/10.3390/jpm11080787

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