Knowledge discovery and knowledge validation in intensive care

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Technical Report ; No. 2000,14

Classification and Topics

• Subject: operational protocols ; online-monitoring ; time series analysis ; machine learning ; statistical pattern recognition ; knowledge based systems ; knowledge validat

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Morik, Katharina ; Imhoff, Michael ; Brockhausen, Peter ; Joachims, Thorsten ; Gather, Ursula
• Event: Veröffentlichung
• (who): Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
• (where): Dortmund
• (when): 2000

Further information

• Handle: http://hdl.handle.net/10419/77225
• Last update: 10.03.2025, 11:43 AM CET