MEDICAL DATA MINING: A CLUSTERING APPROACH
The exponential growth of health data necessitates the development of new methods that can handle massive amounts of stored patient data and information. A popular approach that was proven efficient in analyzing data is Data Mining (DM). DM aims to find patterns in databases and to facilitate decision-making according to those patterns. We suggest that the use of DM can help physicians and healthcare administrators make better decisions and even save lives.
Walsh, Zack and Attwell, Lesedi, "MEDICAL DATA MINING: A CLUSTERING APPROACH" (2011). MCIS 2011 Proceedings. 101.
This document is currently not available here.