A Comparative Study of Machine Learning, Deep Learning Algorithms, and Explainable AI Techniques for Diabetes Prediction

Abstract

Diabetes prediction remains a crucial area of research due to its profound impact on global health. Diabetes, a chronic metabolic disorder, affects millions of people worldwide and poses significant challenges to healthcare systems. Early prediction and diagnosis are essential to managing the disease effectively, preventing complications, and improving the quality of life for patients. Recent advancements in artificial intelligence (AI) have paved the way for powerful tools in diabetes prediction, particularly through machine learning and deep learning algorithms. These methods offer promising solutions for enhancing early diagnosis and personalized care.