Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models

Sara Matijevic, Christopher Yau

Clinical prediction models are increasingly used to support patient care, yet many deep learning-based approaches remain unstable, as their predictions can vary substantially when…