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

Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models explores Develop a regularisation framework for stabilizing clinical prediction models' outputs, enhancing reliability and interpretability in healthcare.. Commercial viability score: 8/10 in Medical AI.