Enhancing Type 2 Diabetes Prediction via SMOTEENN and Weighted Voting Classifiers: Balancing Recall and Accuracy in Imbalanced Medical Data

Yuchen Chen

doi:10.54254/2755-2721/2026.TJ28428

Article Information

Received: 17 October 2025

Published: 22 October 2025

DOI: https://doi.org/10.54254/2755-2721/2026.TJ28428

Article Type: Research Article

Cite this article

Chen,Y. (2025). Enhancing Type 2 Diabetes Prediction via SMOTEENN and Weighted Voting Classifiers: Balancing Recall and Accuracy in Imbalanced Medical Data. Applied and Computational Engineering,190,49-53.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About this Volume

Volume Title: ACE Vol.190

Part of Series: Applied and Computational Engineering

ISSN: 2755-2721 (Print) / 2755-273X (Online)

Copyright & License

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