Machine Learning Health Profiling

The framework is intended to improve precision rehabilitation by capturing baseline heterogeneity and dynamic interdependencies among poststroke sequelae. The protocol combines cross-sectional and longitudinal analyses to examine both baseline heterogeneity and recovery dynamics. The health profiling concept integrates demographic, clinical, and behavioural data to personalise interventions. The study aims to identify distinct patient clusters and longitudinal health trajectories after first-ever ischaemic stroke.