Building predictive model for diabetics data using k means algorithm

In this digital era data is growing exponentially every day and the digitized data of patients health record is increasing due to the development of innovative digital devices used in the hospitals. Health care analytics plays a major role in big data becauseit is much more useful to prevent a disease from happening than to cure after it has occurred. In this paper the healthcare dataset of pregnant women from Indianhealthcare is taken to analyze and the predictive model is built using k means algorithm. The k means algorithm is used to categorize the patients into Healthy and Diabetic clusters. The developed model is tested with the sample data and the accuracy of the predictive model using k means algorithm is found to be 78%.