Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment

Kurniati, AP, Rojas, E, Zucker, K et al. (3 more authors) (2021) Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment. In: Mantas, J, Stoicu-Tivadar, L, Chronaki, C, Hasman, A, Weber, P, Gallos, P, Crișan-Vida, M, Zoulias, E and Chirila, OS, (eds.) Studies in Health Technology and Informatics. Studies in Health Technology and Informatics, 281 . IOS Press , Netherlands , pp. 769-773. ISBN 9781643681849

Abstract

Metadata

Item Type: Book Section
Authors/Creators:
Editors:
  • Mantas, J
  • Stoicu-Tivadar, L
  • Chronaki, C
  • Hasman, A
  • Weber, P
  • Gallos, P
  • Crișan-Vida, M
  • Zoulias, E
  • Chirila, OS
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).

Keywords: . Process mining, care pathway, endometrial cancer, 62-day wait
Dates:
  • Published: 24 April 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Sep 2021 14:43
Last Modified: 10 Sep 2021 14:43
Status: Published
Publisher: IOS Press
Series Name: Studies in Health Technology and Informatics
Identification Number: 10.3233/shti210279
Open Archives Initiative ID (OAI ID):

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