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Analyzing Medical Data with Process Mining: a COVID-19 Case Study
; ; ; ; ;
2022
Online
DOI: 10.48550/arXiv.2202.04625
URL: https://publications.rwth-aachen.de/record/957188/files/957188.pdf
Einrichtungen
- Lehrstuhl für Informatik 9 (Process and Data Science) (122510)
- Fachgruppe Informatik (120000)
- Klinik und Lehrstuhl für Anästhesiologie Schwerpunkt Operative Intensivmedizin (533000-3)
Projekte
Inhaltliche Beschreibung (Schlagwörter)
Artificial Intelligence (cs.AI) (Genormte SW) ; Databases (cs.DB) (Genormte SW) ; FOS: Computer and information sciences (Genormte SW)
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Fulltext by arXiv.org
Dokumenttyp
Preprint
Format
online
Sprache
English
Externe Identnummern
arXiv: arXiv:2202.04625
OpenAlex: W4221139924
Interne Identnummern
RWTH-2023-04619
Datensatz-ID: 957188
Beteiligte Länder
Germany, Italy
Related:
Contribution to a book/Contribution to a conference proceedings
Analyzing Medical Data with Process Mining: A COVID-19 Case Study
Business Information Systems Workshops : BIS 2021 International Workshops, Virtual Event, June 14–17, 2021, revised selected papers / edited by Witold Abramowicz, Sören Auer, Milena Strózyna
Business Information Systems Workshops, BIS 2021, onlineonline, 14 Jun 2021 - 17 Jun 2021
Cham : Springer International Publishing, Lecture notes in business information processing 444, 39-44 (2022) [10.1007/978-3-031-04216-4_4]
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