Metric Rule Generation with Septic Shock Patient Data

Authors:
Jürgen Paetz
Affiliations:
-
Venue:
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Year:
2001

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Abstract

In this contribution we present an application of metric rule generation in the domain of medical research. We consider intensive car unit patients developing a septic shockduring 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 basedon a growing trapezoidal basis function network.