Authors: Bauer, Marcus
Gather, Ursula
Imhoff, Michael
Title: Analysis of High Dimensional Data from Intensive Care Medicine
Language (ISO): en
Abstract: As high dimensional data occur as a rule rather than an exception in critical care today, it is of utmost importance to improve acquisition, storage, modelling, and analysis of medical data, which appears feasable only with the help of bedside computers. The use of clinical information systems offers new perspectives of data recording and also causes a new challenge for statistical methodology. A graphical approach for analysing patterns in statistical time series from online monitoring systems in intensive care is proposed here as an example of a simple univariate method, which contains the possibility of a multivariate extension and which can be combined with procedures for dimension reduction.
Subject Headings: clinical information systems
decision support
high dimensional time series
online monitoring
phase space reconstruction
URI: http://hdl.handle.net/2003/4855
http://dx.doi.org/10.17877/DE290R-5304
Issue Date: 1998
Provenance: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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