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Accurate Prediction of Type 1 and Type 2 Diabetes

A chronic illness that is caused by the continuous high-fluctuations in the glucose level is known as Diabetes. In the recent past, healthcare industry uses Machine Learning to the maximum possible extent to make critical decisions and to save the patients from the delayed medication. For predicting diabetes also, ML algorithms are widely used due to their ability to produce high accuracy predictions. This study focuses on building a framework for predicting type I and type II diabetes in a robust manner. When compared with the previous experiments, this study is better placed in terms of improving the accuracy of diabetes prediction and also it uses the optimized values for the parameters of ML algorithms. Thus the prediction of type1 and type 2 diabetes for a patient is done with a higher accuracy.