An approach to the risk analysis of diabetes mellitus type 2 in a health care provider entity of Colombia using business intelligence

Business intelligence provides organizations with the ability to maintain a competitive advantage in the market. This property can be used in wide fields such as health care where lower costs and early prevention of patients are the main goals. This article develops an approach to the use of business intelligence to achieve a centralized clinical data and apply data mining, particularly the use of association rules. All this in order to find risk factors associated with diabetes mellitus type 2 (DM2) and the way healthcare providers perform the management of this disease. The experiment was conducted using a database of patients with DM2 treated by a health care provider entity in Colombia.