N. Sri Ram

MACHINE LEARNING APPROACHES FOR EARLY DIABETES PREDICTION: A COMPARATIVE STUDY USING CLINICAL DATA

This study focuses on the accurate and early prediction of diabetes, which plays a vital role in improving clinical care and treatment planning. The research evaluates the performance of three machine learning techniques - Logistic Regression, Random Forest, and Support Vector Machine (SVM) - using data collected from...