Personalizing Digital Health Behavior Change Interventions using Machine Learning and Domain Knowledge

We are developing a virtual coaching system that helps patients adhere to behavior change interventions (BCI). Our proposed system predicts whether a patient will perform the targeted behavior and uses counterfactual examples with feature control to guide personalizsation of BCI. We evaluated our prediction model using simulated patient data with varying levels of receptivity to intervention.