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

BACKGROUND: We aimed at predicting fatigue after breast cancer treatment using machine learning on clinical covariates and germline genome-wide data. METHODS: We accessed germline genome-wide data of 2799 early-stage breast cancer patients from the Cancer Toxicity study (NCT01993498). The primary en...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:JNCI Cancer Spectr
Egile Nagusiak: Lee, Sangkyu, Deasy, Joseph O, Oh, Jung Hun, Di Meglio, Antonio, Dumas, Agnes, Menvielle, Gwenn, Charles, Cecile, Boyault, Sandrine, Rousseau, Marina, Besse, Celine, Thomas, Emilie, Boland, Anne, Cottu, Paul, Tredan, Olivier, Levy, Christelle, Martin, Anne-Laure, Everhard, Sibille, Ganz, Patricia A, Partridge, Ann H, Michiels, Stefan, Deleuze, Jean-François, Andre, Fabrice, Vaz-Luis, Ines
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2020
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7583150/
https://ncbi.nlm.nih.gov/pubmed/33490863
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jncics/pkaa039
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