LASSO Model Better Predicted the Prognosis of DLBCL than Random Forest Model: A Retrospective Multicenter Analysis of HHLWG

BACKGROUND: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous non-Hodgkin's lymphoma with great clinical challenge. Machine learning (ML) has attracted substantial attention in diagnosis, prognosis, and treatment of diseases. This study is aimed at exploring the prognostic factors of DLB...

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Detalles Bibliográficos
Autores principales: Shen, Ziyuan, Zhang, Shuo, Jiao, Yaxue, Shi, Yuye, Zhang, Hao, Wang, Fei, Wang, Ling, Zhu, Taigang, Miao, Yuqing, Sang, Wei, Cai, Guoqi, Huaihai Lymphoma, Working Group
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507678/
https://www.ncbi.nlm.nih.gov/pubmed/36157230
http://dx.doi.org/10.1155/2022/1618272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507678/
https://www.ncbi.nlm.nih.gov/pubmed/36157230
http://dx.doi.org/10.1155/2022/1618272

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