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Diabetics Empowered: AI Predicts Disease with 86% Accuracy, Revolutionizing Early Detection.

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Soumyalatha Naveen, Shruti Mishra, V Bhavana, P. Pujitha, J Chandana, Priyanka

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The goal of the study was to predict diabetes early with high accuracy using a machine learning algorithm called random forest. The researchers found that random forest had an accuracy of 85.6%, outperforming other algorithms like logistic regression and Naive Bayes. This method can effectively predict diabetes in patients.