Personalising Digital Health Behaviour Change Interventions using Machine Learning and Domain Knowledge

We are developing a virtual coaching system that helps patients adhere to behaviour change interventions (BCI). Our proposed system predicts whether a patient will perform the targeted behaviour and uses counterfactual examples with feature control to guide personalisation of BCI. We use simulated patient data with varying levels of receptivity to intervention to arrive at the study design which would enable evaluation of our system.