Knowledge discovery and knowledge validation in intensive care

Operational protocols are a valuable means for quality control. However, de veloping operational protocols is a highly complex and costly task. We pres ent an integrated approach involving both intelligent data analysis and kno wledge acquisition from experts that support the development of operational protocols. The aim is to ensure high quality standards for the protocol th rough empirical validation during the development, as well as lower develop ment cost through the use of machine learning and statistical techniques. W e demonstrate our approach of integrating expert knowledge with data driven techniques based on our effort to develop an operational protocol for the hemodynamic system. (C) 2000 Elsevier Science B.V. All rights reserved.