Diabetes Prediction System

Abstract

Diabetes is a chronic disease that occurs either when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin it produces. In 2019, approximately 463 million adults (20-79 years) were living with diabetes; by 2045 this will rise to 700 million [1]. With innovation and improvement in data-ware housing, data mining and emergence of data science as an effective field of utilizing data as a powerful tool to predict useful information, many studies are being conducted to make the process affective. In this study Random Forest will be applied on the health parameters associated with diabetes disease to extract hidden patterns on which prediction will be done. Diabetes Predictive System (DPS) would be developed to identify diabetes disease before time on the basics of identified attributes and algorithm. Hence precautionary measures would be taken eventually. These precautionary measures will help to decrease the death rate caused by Diabetes