Cargando…
Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma
BACKGROUND: To compare the ability of the Cox regression and machine learning algorithms to predict the survival of patients with Anaplastic thyroid carcinoma (ATC). METHODS: Patients diagnosed with ATC were extracted from the Surveillance, Epidemiology, and End Results database. The outcomes were o...
Autores principales: | Xu, Lizhen, Cai, Liangchun, Zhu, Zheng, Chen, Gang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249166/ https://www.ncbi.nlm.nih.gov/pubmed/37291551 http://dx.doi.org/10.1186/s12902-023-01368-5 |
Ejemplares similares
-
Correction: Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma
por: Xu, Lizhen, et al.
Publicado: (2023) -
Predicting survival of advanced laryngeal squamous cell carcinoma: comparison of machine learning models and Cox regression models
por: Zhang, Yi-Fan, et al.
Publicado: (2023) -
Nomograms Predict Survival in Patients with Anaplastic Thyroid Carcinoma
por: Qiu, Bei, et al.
Publicado: (2019) -
Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival
por: Moncada-Torres, Arturo, et al.
Publicado: (2021) -
Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database
por: Du, Mi, et al.
Publicado: (2020)