Lasso model better predicted the prognosis of dlbcl than random forest model: a retrospective multicenter analysis of hhlwg

HIGHLIGHTS

  • who: Ziyuan Shen et al. from the Department Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China have published the research: LASSO Model Better Predicted the Prognosis of DLBCL than Random Forest Model: A Retrospective Multicenter Analysis of HHLWG, in the Journal: Journal of Oncology of 16/09/2022
  • what: This retrospective multicenter study is aimed at exploring prognostic factors of DLBCL by the LASSO and random forest model and to compare the clinical effectiveness of the LASSO, random forest model, IPI, and NCCN-IPI models.

SUMMARY

     

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