Author:
Baiju B. V.,Priyadharshini S.,Haripriya S.,Aarthi A.
Publisher
Springer Nature Singapore
Reference20 articles.
1. Baiju, B. V., & John Aravindhar, D. (2019). Multi attribute inter dependency relational clustering of diabetic data with influence measure based disease prediction. Journal of Green Engineering (JGE), 9(1), 136–148.
2. Kamble, V. V., et al. (2022). Automated diabetic retinopathy detection using radial basis function. In Published in International Conference on Computational Intelligence and Data Science (ICCIDS 2019) (Vol. 167, pp. 799–808). https://doi.org/10.1016/j.procs.2020.03.42
3. Kharat, A. P. B. G. U. (2015). Detection of diabetic retinopathy in retinal images using MLP classifier. In IEEE International Symposium on Nanoelectronic and Information Systems (iNIS) (pp. 331–335). https://doi.org/10.1109/iNIS.2015.30
4. Fiarni, C., et al. (2019). Analysis and prediction of diabetes complication disease using data mining algorithm. Procedia Computer Science, 161, 449–457. https://doi.org/10.1016/j.procs.2019.11.144
5. Khan, F. A., et al. (2021). Detection and prediction of diabetes using data mining: A comprehensive review. IEEE Access, 9, 43711–43735. https://doi.org/10.1109/ACCESS.2021.3059343