Healthcare treatment process (logs and CPN model)- Data underlying the publication" Identifying the context of data usage to diagnose privacy issues through Process Mining"

doi:10.4121/8683fc1a-aca1-447b-aba4-8d7806a9977f.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/8683fc1a-aca1-447b-aba4-8d7806a9977f
Datacite citation style:
Mozafari Mehr, Azadeh (2023): Healthcare treatment process (logs and CPN model)- Data underlying the publication" Identifying the context of data usage to diagnose privacy issues through Process Mining". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8683fc1a-aca1-447b-aba4-8d7806a9977f.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

These datasets contain event and data logs generated through the simulation of a healthcare treatment process using a Colored Petri Net (CPN) process model. The event logs provide a record of activities and events that occurred during the treatment process, such as patient admission, doctor visits, and test orders. The data logs contain information on data access by different users, while excluding sensitive information regarding patients, such as their address, phone number, and test results. The data logs include details on who accessed the data, what data was accessed, and when.

history
  • 2023-03-28 first online, published, posted
publisher
4TU.ResearchData
format
*.rar
organizations
TU Eindhoven, Department of Mathematics and Computer Science.

DATA

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