This workshop is organized by Peter Klimek, Medical University of Vienna & CSH Vienna.
Patient health is typically characterized by a combination of clinical conditions and diseases. Often these diseases do not occur independently from each other but in specific temporal patterns. The increasing availability of large-scale observational healthcare data, e.g. electronic health records and claims data, triggered increasing interest into the problem of how to mine such data for temporal patterns and how to use this information to build predictive models for disease trajectories. With this workshop we aim to bring together the world’s leading researchers working on these and related questions in order to discuss open problems and recent advances in an informal atmosphere.