Authors: Fried, Roland
Gather, Ursula
Imhoff, Michael
Title: Graphical Models for Multivariate Time Series from Intensive Care Monitoring
Language (ISO): en
Abstract: In critical care extremely high dimensional time series are generated by clinical information systems. This yields new perspectives of data recording and also causes a new challenge for statistical methodology. Recently graphical correlation models have been developed for analysing the partial associations between the components of multivariate time series. We apply this technique to the hemodynamic system of critically ill patients monitored in intensive care. We appraise the practical value of the procedure by reidentifying known associations between the variables. From separate analyses for different pathophysiological states we conclude that distinct clinical states can be characterised by distinct partial correlation structures.
URI: http://hdl.handle.net/2003/5037
http://dx.doi.org/10.17877/DE290R-5385
Issue Date: 2000
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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