Dynamic Predictive Models with Visualized Machine Learning for Assessing the Risk of Lung Metastasis in Kidney Cancer Patients

OBJECTIVE: To establish and verify the clinical prediction model of lung metastasis in renal cancer patients. METHOD: Kidney cancer patients from January 1, 2010, to December 31, 2017, in the SEER database were enrolled in this study. In the first section, LASSO method was adopted to select variable...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Chan, Zhou, Qian, Liu, Wencai, Li, Wenle, Dong, Shengtao, Li, Wanying, Xu, Xiaofeng, Qiao, Ximin, Jiang, Youli, Chen, Jingfang, Yin, Chengliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586755/
https://www.ncbi.nlm.nih.gov/pubmed/36276292
http://dx.doi.org/10.1155/2022/5798602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586755/
https://www.ncbi.nlm.nih.gov/pubmed/36276292
http://dx.doi.org/10.1155/2022/5798602

Ejemplares similares