Knowledge Discovery and Data Mining of AHRQ / HCUP Administrative Data

Abstract

The 2005 Nationwide Inpatient Sample (NIS)<lb>contains almost 8 million transactions. Datasets of<lb>this size can be under-utilized due to their complexity<lb>and the difficulty in comprehending and exploring<lb>the relationships among variables. To exploit this<lb>rich data set, we apply a customized, semi-<lb>descriptive data mining approach called… (More)

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