Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR

Abstract

Process mining focuses on extracting knowledge, under the form of models, from data generated and stored in information systems. The analysis of generated models can provide useful insights to domain experts. In addition, models of processes can be used to test if a considered process complies with some given specifications. For these reasons, process mining is gaining significant importance in the healthcare domain, where the complexity and flexibility of processes makes extremely hard to evaluate and assess how patients have been treated.

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.