Prediction of Lifestyle Diseases Such as Diabetes Using Supervised Machine Learning Approach | Original Article

ABSTRACT:

Lifestyle diseases are defined as diseases linked with the way people live their life. This is commonly caused by alcohol, drug and smoking abuse as well as lack of physical activity and unhealthy eating. Diseases that impact on our lifestyle are heart disease, stroke, obesity and type II diabetes. Habits that detract people from activity and push them towards a sedentary routine can cause a number of health issues that can lead to chronic non-communicable diseases that can have near life-threatening consequences. We are preparing model for prediction of these diseases which will help user to change daily habits and get healthy lifestyle. We are generating primary data for Proposed system as per suggested by medical practitioner, our model will analyzed the data and predict whether person is prone to these diseases or not using supervised machine learning technique. Supervised machine learning help to classify the available data and finds the relation between them which is necessary to predict future consequences.