DIABETES PREDICTION SYSTEM

Abstract

The Diabetes which is triggered due to increased sugar level in blood and may affect major organs if it is untreated. It may effect heart, kidney, nerves, blood vessel, and vision. To anticipate and diagnose the diabetes there are various automated techniques available today. Data mining method allows us to anticipate and diagnose underlying conditions and diseases as it is capable to process huge sums of data and convert it into useful information. Predicting disease timely can save precious lives and can able health care experts to take precautions of the diseases. Most of the diabetic patients doesn’t know more about the risk factor prior to diagnose. The data set used here represents, ten years’ clinical care data, of one hundred and thirty US hospitals and includes over fifty features representing patient and hospital outcomes to observe the precision of a prediction model in data mining.