Machine and deep learning techniques for the prediction of diabetics: a review
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19766-9.pdf
Reference458 articles.
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3. Rajesh K, Sangeetha V (2012) Application of Data Mining Methods and Techniques for Diabetes Diagnosis. Int J Eng Innov Technol 2(3):224–229
4. Kaveeshwar SA, Cornwall J (2014) The current state of diabetes mellitus in India. Australas Med J 7(1):45
5. Wild S, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27(5):1047–1053
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