Process mining of disease trajectories in MIMIC-III: a case study

Kusuma, G., Kurniati, A., McInerney, C.D. orcid.org/0000-0001-7620-7110 et al. (3 more authors) (2021) Process mining of disease trajectories in MIMIC-III: a case study. In: Leemans, S. and Leopold, H., (eds.) Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers. ICPM 2020: Process Mining Workshops, 05-08 Oct 2020, Padua, Italy. Springer International Publishing , pp. 305-316. ISBN 9783030726928

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Springer Nature Switzerland AG.
Keywords: Disease trajectories; Process mining; Electronic Health Records
Dates:
  • Published (online): 31 March 2021
  • Published: 31 March 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Academic Unit of Medical Education (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 29 Sep 2022 13:07
Last Modified: 29 Sep 2022 13:07
Status: Published
Publisher: Springer International Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-030-72693-5_23

Export

Statistics