A distributed knowledge extraction data mining algorithm
CIS'04 Proceedings of the First international conference on Computational and Information Science
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Nationwide Inpatient Sample (NIS) provides a rich data set of hospital inpatient stays information. In this research we have taken a subset of the NIS data to mine the information of those patients who have the gastro esophageal reflux disease (GERD). The mining process was developed using the Statistica Data Miner (SDM) to establish trends in surgical techniques, patient characteristics and short-term hospital outcomes of GERD in children. These mining results can be used by the health care providers to better service the GERD patients.