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

Dataset

• Business and Management
• Management and Productivity

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

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

4TU General Terms of Use

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

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

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.

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

Eindhoven University of Technology

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

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

Eindhoven University of Technology, Department of Mathematics and Computer Science