Leveraging Pima Dataset to Diabetes Prediction: Case Study of Deep Neural Network

Diabetes is a chronic disease. In 2019, it was the ninth leading cause of death with an estimated 1.5 million deaths. Poorly controlled, diabetes can lead to serious health problems. That explains why early diagnosis very important. Several approaches that use Artificial Intelligence, specifically Deep Learning, have been widely used promising results. The contribution this paper in two-folds: 1) Neural Network (DNN) approach on Pima Indian dataset predict using 10 k-fold cross validation and 89% accuracy obtained; 2) comparative analysis previous work provided prediction DNN tested model. results showed cross-validation could decrease efficiency models DNN.