Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer.
Ji-Yeon KimEunjoo JeonSoonhwan KwonHyungsik JungSunghoon JooYoungmin ParkSe Kyung LeeJeong Eon LeeSeok Jin NamEun Yoon ChoYeon Hee ParkJin Seok AhnYoung-Hyuck ImPublished in: Breast cancer research and treatment (2021)
A ML based pCR prediction model using pre-treatment clinical and pathological characteristics provided useful information to predict pCR during NAC. This prediction model would help to determine treatment strategy in patients with BC planned NAC.