Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications

ArXi:2604.21793v1 Announce Type: new In this paper, we develop a novel logic-based approach to detecting high-level temporally extended events from timestamped data and background knowledge. Our framework employs logical rules to capture existence and termination conditions for simple temporal events and to combine these into meta-events. In the medical domain, for example, disease episodes and therapies are inferred from timestamped clinical observations, such as diagnoses and drug administrations d in patient records, and can be further combined into higher-level disease events.