Synthetic XES Event Log of Malignant Melanoma Treatment

The synthetic event log described in this document consists of 25,000 traces, generated using the process model outlined in Geyer et al. (2024) [1] and the DALG tool [2]. This event log simulates the treatment process of malignant melanoma patients, adhering to clinical guidelines. Each trace in the log represents a unique patient journey through various stages of melanoma treatment, providing detailed insights into decision points, treatments, and outcomes. The DALG tool [2] was employed to generate this data-aware event log, ensuring realistic data distribution and variability. DALG: https://github.com/DavidJilg/DALG [1] Geyer, T., Grüger, J., & Kuhn, M. (2024). Clinical Guideline-based Model for the Treatment of Malignant Melanoma (Data Petri Net) (1.0). Zenodo. https://doi.org/10.5281/zenodo.10785431 [2] Jilg, D., Grüger, J., Geyer, T., Bergmann, R.: DALG: the data aware event log generator. In: BPM 2023 - Demos & Resources. CEUR Workshop Proceedings, vol. 3469, pp. 142–146. CEUR-WS.org (2023)本文件所述的合成事件日志（event log）共包含25000条轨迹（trace），其生成基于Geyer等人（2024）[1]提出的流程模型以及DALG工具（DALG）[2]。该事件日志模拟恶性黑色素瘤患者的诊疗流程，严格遵循临床指南。日志中的每条轨迹均代表一名独特患者的黑色素瘤诊疗全流程路径，可提供关于决策节点、治疗方案与诊疗结局的详细洞察。 本研究采用DALG工具（DALG）[2]生成该数据感知型事件日志（data-aware event log），确保了真实的数据分布与数据变异性。 DALG：https://github.com/DavidJilg/DALG [1] Geyer, T., Grüger, J., & Kuhn, M. (2024). 基于临床指南的恶性黑色素瘤诊疗模型（数据Petri网 (Data Petri Net)）(1.0). Zenodo. https://doi.org/10.5281/zenodo.10785431 [2] Jilg, D., Grüger, J., Geyer, T., Bergmann, R.: DALG：数据感知型事件日志生成器。见：BPM 2023 - 演示与资源。CEUR Workshop Proceedings，第3469卷，第142–146页。CEUR-WS.org（2023）