Abstract
The accumulating amounts of data are making traditional analysis methods impractical. Novel tools employed in Data Mining (DM) provide a useful alternative framework that addresses this problem. This research suggests a technique to identify certain patient populations. Our model examines the patient population and clusters certain groups. Those subpopulations are then classified in terms of their appropriate medical treatment. As a result, we show the value of applying a DM model to more easily identify patients.
Recommended Citation
Patel, Bai and Chang, lin, "DATA MINING CLUSTERING IN HEALTHCARE" (2010). MCIS 2010 Proceedings. 66.
https://aisel.aisnet.org/mcis2010/66
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