A Comprehensive Study on Diabetes Detection Using Various Machine Learning Algorithms

Author:

Sharma Shweta,Tiwari Suraj,Alam Shahid,Sharma Rewa

Publisher

Springer Singapore

Reference15 articles.

1. Albert, K.G., Zimm, P.Z., et at.: World Health Organization (WHO), “Definition, Diagnosis, and Classification of Diabetes Mellitus and its Complications”. part 1. WHO/NCD/NCS/2016.2 (2016)

2. Chavey, A., Kioon, M., Bailbé, D: Programming of beta-cell disorders and intergenerational risk of type 2 diabetes diabetes. Maternal Dia. 40(5) (2014)

3. Manzella, D., Grella, R., Abbatecola, A.M., Paolisso, G.: Repaglinide administration improves brachial reactivity in type 2 diabetic patients. Dia. Care 28 (2005)

4. Nai-Aruna, N., Moungmaia, R.: Comparison of Classifiers for the Risk of Diabetes Prediction

5. Sisodiaa, D., Sisodiab, D.S.: Prediction of Diabetes using Classification Algorithms

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