A Comparative Analysis on Diabetes Datasets Using Data Mining Techniques

Abstract

In past, many researchers have been worked on the early diagnosis of diabetes disease. They used different diabetes datasets for the prediction of diabetes disease. Diabetes disease is one of the chronic diseases and becoming a cause of death among peoples. So many factors involved which cause diabetes disease and in this way a huge amount of data increasing about diabetes disease.In this paper, we compared different cases of diabetes disease based on two different Pima Indian diabetes datasets. From previous studies we found that different deep learning and machine learning methods had been applied to these two datasets but achieved very efficient methods used to diagnose diabetes. Also, determine the research gap in the application of different methods in the biomedical field.