Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach

ArXi:2603.26948v1 Announce Type: new Existing approaches for predictive process monitoring are sub-symbolic, meaning that they learn correlations between descriptive features and a target feature fully based on data, e.g., predicting the surgical needs of a patient based on historical events and biometrics. However, such approaches fail to incorporate domain-specific process constraints (knowledge), e.g., surgery can only be planned if the patient was released than a week ago, limiting the adherence to compliance and providing less accurate predictions.