A Handbook of Statistical Analyses Using R
A Handbook of Statistical Analyses Using R
Towards a general framework for data mining
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Fundamentals of Data Warehouses
Fundamentals of Data Warehouses
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
BPM'06 Proceedings of the 4th international conference on Business Process Management
Assessing medical treatment compliance based on formal process modeling
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
Enhancing declare maps based on event correlations
BPM'13 Proceedings of the 11th international conference on Business Process Management
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Process mining has proven itself as a promising analysis technique for processes in the health care domain. The goal of the EBMC2 project is to analyze skin cancer treatment processes regarding their compliance with relevant guidelines. For this, first of all, the actual treatment processes have to be discovered from the available data sources. In general, the L* life cycle model has been suggested as structured methodology for process mining projects. In this experience paper, we describe the challenges and lessons learned when realizing the L* life cycle model in the EBMC2 context. Specifically, we provide and discuss different approaches to empower data of low maturity levels, i.e., data that is not already available in temporally ordered event logs, including a prototype for structured data acquisition. Further, first results on how process mining techniques can be utilized for data screening are presented.