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Author

R. Mohanty

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Open access Oct 2026

Enhanced diabetes prediction using SMOTE-Tomek and F1-optimized machine learning models

This study presents a systematic and effective strategy for the early prediction of diabetes, utilizing a hybrid machine learning framework designed to address prevalent issues found in conventional diagnostic systems. A significant challenge in medical datasets, particularly in the context of diabetes, is the issue of...

Chaitra Nayak Janasale, R. Mohanty, S. N. Prasad · 0 citations
Jul 2026

Ensemble-Based Machine Learning Framework for Early Diabetes Prediction Using Localized and Normalized Data

An ensemble-based model that uses a combination of Random Forest, Support Vector Machine, and Extreme Gradient Boosting to predict diabetes at an early age has high stability and can be generalized, making it appropriate to implement in the real healthcare setting.

C. J, R. Mohanty, S. N. Prasad · 0 citations

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