Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer
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. T...
| Main Author: | |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Hellenic Operational Research Society (HELORS)
2023
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42157/ http://umpir.ump.edu.my/id/eprint/42157/1/Utilizing%20process%20mining%20with%20large%20synthetic%20datasets_RAW.pdf http://umpir.ump.edu.my/id/eprint/42157/2/Utilizing%20process%20mining%20with%20large%20synthetic%20datasets_A%20case%20study%20on%20chemotherapy%20treatment%20for%20breast%20cancer_ABS.pdf |
| _version_ | 1848826535214055424 |
|---|---|
| author | Fatin Izzati, Ramli |
| author_facet | Fatin Izzati, Ramli |
| author_sort | Fatin Izzati, Ramli |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:46:22Z |
| format | Conference or Workshop Item |
| id | ump-42157 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:46:22Z |
| publishDate | 2023 |
| publisher | Hellenic Operational Research Society (HELORS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-421572024-08-05T05:12:35Z http://umpir.ump.edu.my/id/eprint/42157/ Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer Fatin Izzati, Ramli HD Industries. Land use. Labor HD28 Management. Industrial Management 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. Hellenic Operational Research Society (HELORS) 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42157/1/Utilizing%20process%20mining%20with%20large%20synthetic%20datasets_RAW.pdf pdf en http://umpir.ump.edu.my/id/eprint/42157/2/Utilizing%20process%20mining%20with%20large%20synthetic%20datasets_A%20case%20study%20on%20chemotherapy%20treatment%20for%20breast%20cancer_ABS.pdf 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) https://energate-project.eu/ENERGATE-Publications-Featured-in-HELORS-2023-Proceedings-Now-Available |
| spellingShingle | HD Industries. Land use. Labor HD28 Management. Industrial Management Fatin Izzati, Ramli Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer |
| title | Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer |
| title_full | Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer |
| title_fullStr | Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer |
| title_full_unstemmed | Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer |
| title_short | Utilizing process mining with large synthetic datasets : A case study on chemotherapy treatment for breast cancer |
| title_sort | utilizing process mining with large synthetic datasets : a case study on chemotherapy treatment for breast cancer |
| topic | HD Industries. Land use. Labor HD28 Management. Industrial Management |
| url | http://umpir.ump.edu.my/id/eprint/42157/ http://umpir.ump.edu.my/id/eprint/42157/ http://umpir.ump.edu.my/id/eprint/42157/1/Utilizing%20process%20mining%20with%20large%20synthetic%20datasets_RAW.pdf http://umpir.ump.edu.my/id/eprint/42157/2/Utilizing%20process%20mining%20with%20large%20synthetic%20datasets_A%20case%20study%20on%20chemotherapy%20treatment%20for%20breast%20cancer_ABS.pdf |