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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
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 |
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