Prediction of Diabetes Mellitus Using Machine Learning Algorithm

Abstract

Diabetes Mellitus collectively known for Type 1 ,Type 2 and Gestational Diabetes  is a condition that impairs the ability to provide blood sugar in the body. From the statistics of International Diabetes Federation  in 2020, 463 Million people in between ages 20-79 which represents the 9.3% of whole world's population are diabetic .This statistics sums up the need of lifestyle changes and seriousness that one should have towards each self. Machine learning is the current trend in predicting and diagnosing diseases. It is vital for predictive analysis by using data and machine learning algorithms to recognize the future outcomes based on the data available or historical data. Our paper has extracted  available diabetic data from Institution and Hospital and has provided a solution to predict diabetes providing a powerful insight. The models used in Machine Learning  to predict diabetes are the Linear Regression, Support Vector Machine. Other algorithms require more computational time and  Deep Learning algorithms requires a larger dataset .Hence in this paper, we have considered using classical algorithms.