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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 3, MARCH 2024

Diabetes Prediction using Machine Learning

Tushar Kanti De, Prathipati Likhitha, J Vamsi, T Krishna Sai, S Jaswanth,N Sai Krishna Teja, P Narasimha Raju

DOI: 10.17148/IJARCCE.2024.13322

Abstract: With its increasing occurrence, diabetes has become a major global health concern that presents serious difficulties for healthcare systems everywhere. Diabetes must be identified early and managed proactively to improve patient outcomes and lessen the disease's toll. This initiative offers an original method for predicting diabetes using cutting-edge machine learning algorithms.

Keywords: Diabetes Prediction, Machine Learning, Early Detection, Healthcare, Model Interpretability, Feature Engineering, Ethical Considerations, Chronic Disease Prevention Cite: Tushar Kanti De, Prathipati Likhitha, J Vamsi, T Krishna Sai, S Jaswanth,N Sai Krishna Teja, P Narasimha Raju, "Diabetes Prediction using Machine Learning", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13322.

How to Cite:

[1] Tushar Kanti De, Prathipati Likhitha, J Vamsi, T Krishna Sai, S Jaswanth,N Sai Krishna Teja, P Narasimha Raju, “Diabetes Prediction using Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13322