Process Mining of Disease Trajectories in MIMIC-III: A Case Study

Kusuma, G orcid.org/0000-0002-0208-125X, Kurniati, A orcid.org/0000-0002-4747-1067, McInerney, CD orcid.org/0000-0001-7620-7110 et al. (3 more authors) (2021) Process Mining of Disease Trajectories in MIMIC-III: A Case Study. In: Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers. 2nd International Conference on Process Mining (ICPM 2020), 04-09 Oct 2020, Padua, Italy (Online). Springer , pp. 305-316. ISBN 978-3-030-72692-8

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Copyright, Publisher and Additional Information: © Springer Nature Switzerland AG 2021. This is an author produced version of a conference paper published in Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Disease trajectories, Process mining, Electronic Health Records
Dates:
  • Published: 2021
  • Accepted: 22 September 2020
  • Published (online): 31 March 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
Funding Information:
FunderGrant number
NIHR National Inst Health ResearchR&DQ&SM24387
Department of HealthNo Ext Ref
Depositing User: Symplectic Publications
Date Deposited: 15 Oct 2020 13:16
Last Modified: 13 Apr 2021 09:52
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/978-3-030-72693-5_23

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