Diabetes Detection Using Deep Learning

The main aim of this paper is to predict the presence of diabetes at an early stage using some machine learning techniques, with having the female patients in the center of the study. Making the appropriate lifestyle adjustments at the right time will help prevent diabetes and all the problems connected with it. Early detection of diabetes can considerably minimize the disease's progression and lower the chance of catastrophic consequences including heart and kidney ailments. Therefore, a tool that can help physicians identify this fatal disease earlier and halt its course is desperately needed. In conclusion, this model yielded an 82% accuracy rate using the random forest classifier model.