Analyzing Medical Data with Process Mining: A COVID-19 Case Study

Lecture notes in business information processing, pp. 39–44

Authors 6

1. Marco Pegoraro corresponding Aachen Chair of Process and Data Science Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

2. Madhavi Bangalore Shankara Narayana Aachen Chair of Process and Data Science Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

3. Elisabetta Benevento Aachen Chair of Process and Data Science Department of Computer Science

   University of Pisa · RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

   Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Pisa, Italy

4. Wil M. P. van der Aalst Aachen Chair of Process and Data Science Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

5. Lukas Märtin Aachen Department of Intensive Care and Intermediate Care

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Intensive Care and Intermediate Care, RWTH Aachen University Hospital, Aachen, Germany

6. Gernot Marx Aachen Department of Intensive Care and Intermediate Care

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Intensive Care and Intermediate Care, RWTH Aachen University Hospital, Aachen, Germany