Author:
Vardhan P. Vishnu,Reddy C. Venkata Akhlieswar,Krishna Ram,Reddy N. Yogeshwar,Kumar K. Santhosh,Kumar B. Sravan,Rao T. V. V. L. N.
Reference15 articles.
1. Agrawal, P., and Kumar Dewangan, A., Machine Learning Techniques for Diabetes Mellitus Classification. International Journal of Engineering and Applied Sciences, 2015, 2(5), 145–148.
2. Eswari, T., Sampath, P., and Lavanya, S., Predictive technique for large data diabetes data analysis, Procedia Computer Science, 2015, 50, 203-208.
3. Mounika, M., Suganya, S.D., Vijayashanthi, B., and Anand, S.K., Diabetic therapy prediction using a classification system. IJCSIT, 2015, 6, 2502-2505.
4. Nai-arun, N., and Moungmai, R., Classifiers for diabetes risk prediction are compared, Procedia Computer Science, 2015, 69, 132-142.
5. An improved electromagnetism-like mechanism algorithm and its application to the prediction of diabetes mellitus