Prediction of radiosensitivity and radiocurability using a novel supervised artificial neural network.
Journal:
BMC cancer
Published Date:
Dec 1, 2022
Abstract
BACKGROUND: Radiotherapy has been widely used to treat various cancers, but its efficacy depends on the individual involved. Traditional gene-based machine-learning models have been widely used to predict radiosensitivity. However, there is still a lack of emerging powerful models, artificial neural networks (ANN), in the practice of gene-based radiosensitivity prediction. In addition, ANN may overfit and learn biologically irrelevant features.