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Prediction of Breast Cancer Treatment-Induced Fatigue by Machine Learning Using Genome-Wide Association Data.

Sangkyu LeeJoseph O DeasyJung Hun OhAntonio di MeglioAgnes DumasGwenn MenvielleCecile CharlesSandrine BoyaultMarina RousseauCeline BesseEmilie ThomasAnne BolandPaul-Henri CottuOlivier TredanChristelle LevyAnne-Laure MartinSibille EverhardPatricia A GanzAnn H PartridgeStefan MichielsJean-François DeleuzeFabrice AndreInes Vaz Luis
Published in: JNCI cancer spectrum (2020)
Genomic analyses in this large cohort of breast cancer survivors suggest a possible genetic role for severe Cognitive Fatigue that warrants further exploration.
Keyphrases
  • genome wide association
  • machine learning
  • sleep quality
  • copy number
  • big data
  • high glucose
  • diabetic rats
  • electronic health record
  • early onset
  • deep learning
  • oxidative stress
  • endothelial cells