Mannhardt, Felix (2016): Sepsis Cases - Event Log. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:915d2bfb-7e84-49ad-a286-dc35f063a460

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Categories

• Business and Management
• Management and Productivity

Keywords

Data mining Event log Hospital IEEE Task Force on Process Mining Patterns Process mining real life event logs Systematic data processing

Time coverage

2013-11-07T08:18:29+01:00/2015-06-05T12:25:11+02:00

Licence

4TU General Terms of Use

Collection

• Supporting data for "Improving process discovery by filtering noise logs based on event dependency"

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by Felix Mannhardt

This real-life event log contains events of sepsis cases from a hospital. Sepsis is a life threatening condition typically caused by an infection. One case represents the pathway through the hospital. The events were recorded by the ERP (Enterprise Resource Planning) system of the hospital. There are about 1000 cases with in total 15,000 events that were recorded for 16 different activities. Moreover, 39 data attributes are recorded, e.g., the group responsible for the activity, the results of tests and information from checklists. Events and attribute values have been anonymized. The time stamps of events have been randomized, but the time between events within a trace has not been altered.

History

• 2016-12-07 first online, published, posted

Publisher

Eindhoven University of Technology

Format

media types: application/x-gzip, text/csv, text/plain, text/xml

References

• http://ceur-ws.org/Vol-1859/bpmds-08-paper.pdf

Organizations

Eindhoven University of Technology, Department of Mathematics and Computer Science