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Machine Learning-Based Analysis of Treatment Sequences Typology in Advanced Non-Small-Cell Lung Cancer Long-Term Survivors Treated With Nivolumab.

Christos ChouaidValentine GrumbergAlexandre BatisseRomain CorreMatteo Giaj LevraAnne-Françoise GaudinMartin ProdelJoannie Lortet-TieulentJean-Baptiste AssiéFrancois-Emery Cotté
Published in: JCO clinical cancer informatics (2022)
This machine learning approach enabled the identification of a typology of four representative treatment sequences observed in long-term survival. It was noted that most long-term survivors were treated with nivolumab for well over 1 year.
Keyphrases
  • machine learning
  • advanced non small cell lung cancer
  • young adults
  • epidermal growth factor receptor
  • artificial intelligence
  • big data
  • combination therapy
  • cross sectional
  • tyrosine kinase