About the Analysis of Septic Shock Patient Data

Authors:
Jürgen Paetz;Fred Henrik Hamker;Sven Thöne
Affiliations:
-;-;-
Venue:
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
Year:
2000

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Abstract

In intensive care medicine doctors are aware of a high mortality rate of septic shock patients. In this contribution we present the problems and the results of a retrospective, data driven analysis of two studies made in Frankfurt am Main between 1993 and 1997. Our approach includes the necessary steps of data mining, i.e. building up a data base, cleaning and preprocessing the data and finally choosing an adequate analysis for the medical patient data. We chose an architecture mainly based on a supervised neural network. The patient data is classified into two classes (survived and deceased). The importance of this classification for an early warning system is discussed.