Anticipating health and care trajectories from routinely collected social care records
Machine learning is applied to a large, pseudonymised dataset of social care records from 27,590 adults in Oxfordshire to demonstrate the feasibility of social care-based risk modelling and suggest new opportunities to improve anticipatory care planning, health management, and resource allocation.