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Metric rule generation with septic shock patient data
28
Zitationen
1
Autoren
2002
Jahr
Abstract
The article present an application of metric rule generation in the domain of medical research. We consider intensive care unit patients developing a septic shock during their stay at the hospital. To analyse the patient data, rule generation is embedded in a medical data mining cycle. For rule generation, we improve an architecture based on a growing trapezoidal basis function network.
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