Predicting line of therapy transition via similar patient augmentation

Suhan Cui, Guanhao Wei, Li Zhou, Emily Zhao, Ting Wang, Fenglong Ma

Abstract: Highlights•This study proposes a novel cancer line of therapy (LOT) prediction model based on patients’ medical sequence similarity.•The proposed approach is able to handle the diversity of line of therapy (LOT) transitions.•The proposed approach outperforms state-of-the-art methods in terms of standard evaluation metrics.