Early Diabetes Detection and its Effect on Heart using Random Forest

Diabetes is a long lasting disease which affects people worldwide. Many people had diabetes and this number would be increasing in the future. Early detection of diabetes is necessary. Also, diabetes affects other organs and becomes a risk to other organs like heart, lungs, kidneys, skin ,eyes, liver. And early detection of the impact of diabetes on other organs is necessary to take proper early precautions and treatment. To identify the early risk , Machine learning can be helpful. Using algorithms of machine learning, it can provide accurate detection and timely diagnosis . This paper contains early detection of diabetes and impact on heart where Random forest is used after model selection to detect the probability of heart disease using UCI heart disease and for diabetes detection PIMA Indian dataset is used. And using this simple analysis it can be found that the diabetic person’s organs are affected or not