A Sequence Building Approach to Pattern Discovery in Medical Data

Jorge C. G. Ramirez, Lynn L. Peterson, and Dolores M. Peterson

The goal of the research being reported is the discovery of useful concepts in temporal medical databses. In this paper, we present a sequence building approach, based on the Generalized Sequential Patterns (GSP) Algorithm (Srikant and Agrawal 1996), to discover temporal patterns in this type of data. We show that this pattern discovery is possible by normalizing continuous features in a way that allows meaningful comparisons between patients.

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