Advances in computational methods for process and data mining in healthcare

Marco Pegoraro; Elisabetta Benevento; Davide Aloini; Wil M.P. van der Aalst; Marco Pegoraro; Elisabetta Benevento; Davide Aloini; Wil M.P. van der Aalst

doi:10.3934/mbe.2024288

Mathematical Biosciences and Engineering

2024, Volume 21, Issue 7: 6603-6607. doi: 10.3934/mbe.2024288

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Editorial

Advances in computational methods for process and data mining in healthcare

1.
Chair of Process and Data Science (PADS), RWTH Aachen University, Ahornstraße 55, 52074 Aachen, Germany
2.
Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy

Received: 18 June 2024 Revised: 04 July 2024 Accepted: 07 July 2024 Published: 10 July 2024

- Process Mining,
- Process Science,
- Data Mining,
- Healthcare,
- Clinical Data,
- Medical Data,
- Computational Methods
Citation: Marco Pegoraro, Elisabetta Benevento, Davide Aloini, Wil M.P. van der Aalst. Advances in computational methods for process and data mining in healthcare[J]. Mathematical Biosciences and Engineering, 2024, 21(7): 6603-6607. doi: 10.3934/mbe.2024288

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