Detection of diabetes mellitus using machine learning algorithms

Abstract

The growth of technology has brought in sophistication in our day to day activities. This sophistication has brought in many health issues. One among the most important problems that has currently become a typical issue is Diabetics Mellitus. Diabetes Mellitus has affected over 246 million people worldwide with a majority of them being women. The WHO reports that by 2025 this number is expected to rise to over 380 million. Prevention is better than cure. The health care data is large and complex. It is better to predict the disease at an earlier stage which may save the life and also have a preventive measure in controlling the diseases. In this paper, we have taken up a heterogeneous data to analyze the various factors which are affecting this disease. The various machine learning algorithms used in this paper help us to decide the attributes which play a major role in diagnosis of Diabetes Mellitus.