Short- and long-term weekly patient-reported outcomes prediction undergoing radiotherapy: single-patient time series model vs. transformer-based multi-patient time series model

TFT emerges as a reliable approach for PRO prediction, excelling in long-term accuracy, trend capture, and resilience to data gaps by leveraging multi-patient information. Its ability to synthesize heterogeneous PRO data offers advantages over single-patient models, supporting personalized treatment adaptation and informed clinical decision-making. This underscores the potential of transformer-based models in enhancing PRO-driven radiotherapy management.