Re-evaluating the neutrophil-to-lymphocyte ratio: Machine learning-based variable selection for predicting survival at twelve months in late-stage cancer patients receiving immunotherapy.

Daniel Spakowicz,Mingjia Li,Rebecca Hoyd,Jarred Thomas Burkart,Sandip H. Patel,Marium Husain,Kai He,Carolyn J. Presley,Erin M. Bertino,Peter G. Shields,David P. Carbone,Hiral A. Shah,Gabriel Tinoco,Edmund Folefac,Priyanka Bhateja,Claire F. Verschraegen,Gregory A. Otterson,Lang Li,Kari Kendra,Dwight Hall Owen

Re-evaluating the neutrophil-to-lymphocyte ratio: Machine learning-based variable selection for predicting survival at twelve months in late-stage cancer patients receiving immunotherapy.

2019

e18201Background: Neutrophil to Lymphocyte Ratio (NLR) is prognostic for cancer patients treated with immune checkpoint inhibitors (ICI). We showed the change in NLR early during treatment to be a ...

Keywords:

Neutrophil to lymphocyte ratio
Feature selection
Immunotherapy
Pathology
Oncology
Internal medicine
Late-stage cancer
Medicine
Cancer
immune checkpoint inhibitors

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