Prediction of treatment (tx)-induced fatigue in breast cancer (BC) patients (pts) using machine learning on genome-wide association (GWAS) data in the prospective CANTO cohort Meeting Abstract


Authors: Lee, S.; Deasy, J. O.; Oh, J. H.; Di Meglio, A.; Boyault, S.; Rousseau-Tsangaris, M.; Besse, C.; Thomas, E.; Boland-Augé, A.; Cottu, P. H.; Tredan, O.; Levy, C.; Martin, A. L.; Everhard, S.; Ganz, P. A.; Partridge, A. H.; Michiels, S.; Deleuze, J. F.; Andre, F.; Luis, I. M. V. D.
Abstract Title: Prediction of treatment (tx)-induced fatigue in breast cancer (BC) patients (pts) using machine learning on genome-wide association (GWAS) data in the prospective CANTO cohort
Meeting Title: 55th Annual Meeting of the American Society of Clinical Oncology (ASCO)
Journal Title: Journal of Clinical Oncology
Volume: 37
Issue: 15 Suppl.
Meeting Dates: 2019 May 31-Jun 4
Meeting Location: Chicago, IL
ISSN: 0732-183X
Publisher: American Society of Clinical Oncology  
Date Published: 2019-05-20
Start Page: 585s
Language: English
ACCESSION: WOS:000487345804184
PROVIDER: wos
DOI: 10.1200/JCO.2019.37.15_suppl.11515
Notes: Meeting Abstract: 11515 -- Source: Wos
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MSK Authors
  1. Jung Hun Oh
    187 Oh
  2. Joseph Owen Deasy
    524 Deasy
  3. Sang Kyu Lee
    18 Lee