Knowledge Discovery and Knowledge Validation in Intensive Care

dc.contributor.author	Brockhausen, Peter	de
dc.contributor.author	Gather, Ursula	de
dc.contributor.author	Imhoff, Michael	de
dc.contributor.author	Joachims, Thorsten	de
dc.contributor.author	Morik, Katharina	de
dc.date.accessioned	2004-12-06T18:42:07Z
dc.date.available	2004-12-06T18:42:07Z
dc.date.issued	2000	de
dc.description.abstract	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.	en
dc.format.extent	342600 bytes
dc.format.extent	86769 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/5019
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-8225
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject.ddc	310	de
dc.title	Knowledge Discovery and Knowledge Validation in Intensive Care	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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