Septic Shock Diagnosis by Neural Networks and Rule Based Systems
Studies in fuzziness and soft computingPublished 1 January 2002
Rüdiger Brause, Fred H. Hamker, Jürgen Paetz
Citations34
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TL;DR
This contribution presents typical problems and results of a retrospective, data driven analysis based on two neural network methods applied on the data of two clinical studies of septic shock patients in intensive care units.
Abstract
In intensive care units physicians are aware of a high lethality rate of septic shock patients. In this contribution we present typical problems and results of a retrospective, data driven analysis based on two neural network methods applied on the data of two clinical studies.
Keywords
Computer ScienceEngineering
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