Supervised machine learning model to predict oncotype DX risk category in patients over age 50.

Kate R PawloskiMithat GonenHannah Y WenAudree B TadrosDonna ThompsonKelly AbbateMonica MorrowMahmoud El-Tamer

Published in: Breast cancer research and treatment (2021)

Our model was highly specific for identifying eligible patients aged over 50 years for whom chemotherapy can be omitted. Following external validation, it may be used to triage patients for RS testing, if predicted to be high risk, in resource-limited settings.

Keyphrases

end stage renal disease
machine learning
ejection fraction
newly diagnosed
chronic kidney disease
patient reported outcomes
radiation therapy
big data
locally advanced