Clustering as a Data Mining Technique in Health Hazards of High levels of Fluoride in Potable Water

This article explores data mining techniques in health care. In particular, it discusses data mining and its application in areas where people are affected severely by using the underground drinking water which consist of high levels of fluoride in Krishnagiri District, Tamil Nadu State, India. This paper identifies the risk factors associated with the high level of fluoride content in water, using clustering algorithms and finds meaningful hidden patterns which gives meaningful decision making to this socio-economic real world health hazard. [2] Keywords-Data mining, Fluoride affected people, Clustering, Kmeans, Skeletal.