An Efficient Deep Learning Technique for Diabetes Classification and Prediction Based on Indian Diabetes Dataset

Diabetes is a chronic metabolic disorder that affects millions of people worldwide, and early diagnosis and effective prediction of this disease are crucial for its management and prevention of associated complications. Recently, deep_learning shows effective results in various healthcare applications, including disease classification and prediction. This paper presents diabetes classification and prediction using machine learning approach. Proposed system is increased the accuracy of the results by diabetes prediction framework using artificial neural network (ANN) deep learning algorithms. The performance of the overall classification results is improved as a consequence of this. The use of machine learning (ML) algorithms is currently effective for sickness detection.