Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer

Fatin Izzati, Ramli (2023) Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer. In: HELORS 2023 Proceedings. 9th International Symposium and 31st National Conference on Operational Research , June 29-30 and July 1, 2023. , University of West Attica, Aigaleo, Athens. pp. 1-4.. ISBN 978-618-85079-2-0 (Published)

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Abstract

This paper presents a case study on integrating process mining using a large synthetic dataset of breast cancer cases named Simulacrum. The aim was to analyze the chemotherapy treatment process through process mining. However, challenges were encountered due to the absence of experts for guidance. This study discusses the challenges faced, potential opportunities, and the essential requirements for successfully integrating process mining with significant datasets.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Process mining; Breast cancer; Chemotherapy.
Subjects:	H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Faculty/Division:	Faculty of Industrial Management
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	05 Aug 2024 03:34
Last Modified:	05 Aug 2024 05:12
URI:	http://umpir.ump.edu.my/id/eprint/42157
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