Process Mining of Disease Trajectories: A Literature Review

Kusuma, GP orcid.org/0000-0002-0208-125X, Kurniati, AP, Rojas, E et al. (3 more authors) (2021) Process Mining of Disease Trajectories: A Literature Review. In: Mantas, J, Stoicu-Tivadar, L, Chronaki, C, Hasman, A, Weber, P, Gallos, P, Crişan-Vida, M, Zoulias, E and Sorina Chirila, O, (eds.) Studies in Health Technology and Informatics. IOS Press , pp. 457-461. ISBN 978-1-64368-184-9

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Copyright, Publisher and Additional Information: © 2021 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Dates:
  • Published: 27 May 2021
  • Accepted: 28 February 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)
Depositing User: Symplectic Publications
Date Deposited: 22 Jul 2021 11:43
Last Modified: 22 Jul 2021 11:43
Published Version: https://ebooks.iospress.nl/volume/public-health-an...
Status: Published
Publisher: IOS Press
Identification Number: https://doi.org/10.3233/shti210200

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