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Morik, Katharina
Imhoff, Michael
Brockhausen, Peter
Joachims, Thorsten
Gather, Ursula
Year of Publication: 
Series/Report no.: 
Technical Report 2000,14
Operational protocols are a valuable means for quality control. However, developing operational protocols is a highly complex and costly task. We present an integrated approach involving both intelligent data analysis and knowledge acquisition from experts that supports the development of operational protocols. The aim is to ensure high quality standards for the protocol through empirical validation during the development, as well as lower development cost through the use of machine learning and statistical techniques. We demonstrate our approach of integrating expert knowledge with data driven techniques based on our effort to develop an operational protocol for the hemodynamic system.
operational protocols
time series analysis
machine learning
statistical pattern recognition
knowledge based systems
knowledge validat
Document Type: 
Working Paper
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