Machine Learning Approach For Diabetes Prediction

Diabetes the silent killer which kills part by part of our life Diabetes can strike anyone, from any walk of life. It is not only a disease but also a creator of different kinds of diseases like heart attack, blindness, kidney diseases etc. It is found that in last decades the cases of people living with diabetes jumped almost 350 million worldwide. Early detection of diabetes can reduce the health risk in patients. With rise of new technology like machine learning we have a solution to this issue, a system for predicting the chance of diabetes. Machine learning techniques increase medical diagnosis accuracy and reduce medical cost. This paper aims to predict diabetes via supervised machine learning algorithms such as decision tree. In our work we have used the Pima Indians Diabetes Dataset from UCI Machine Learning Repository.