We here propose a new method of combining a mathematical model that describes a
chemotherapy treatment for breast cancer with a machine-learning (ML) algorithm to
increase performance in predicting tumor size using a five-step procedure. The first step
involves modeling the chemotherapy treatment protocol using an analytical function. In the
second step, the ML algorithm is trained to predict the tumor size based on clinico-
pathological data and data obtained from magnetic resonance imaging results at different …