ARCHIVES

1. Butwall M, Kumar S.- A data mining approach for the diagnosis of diabetes mellitus using random forest classifie,. Int J Comput Appl.
2015;120(8):36–39.
2. Nongyao Nai-arun, Rungruttikarn Moungmai Comparison of Classifiers for the Risk of Diabetes Prediction,
3. Procedia Computer Science Volume 69, 2015, Pages 132-142
4. Deepti Sisodia, Dilip Singh Sisodia - Prediction of Diabetes using Classification Algorithms, Procedia Computer Science Volume 132, 2018, Pages 1578-1585
5. Han Wu, Shengqi Yang , Zhangqin Huang, Jian He, Xiaoyi Wang - Type 2 diabetes mellitus prediction model based on data mining(2018) -Informatics in Medicine Unlocked Volume 10, 2018, Pages 100-107
6. Harshil Thakkar , Vaishnavi Shah , Hiteshri Yagnik , Manan Shah, Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis -Clinical eHealth Volume 4, 2021, Pages 12-23
7. Omar S. Soliman, Eman AboElhamd, Classification of Diabetes Mellitus using Modified Particle Swarm Optimization and Least Squares Support Vector Machine(2014) – International Journal of Computer Trends andTechnology (IJCTT) – volume 8 number 1– Feb 2014
8. Sushruta Mishra, Brojo Kishore Mishra, Soumya Sahoo, Bijayalaxmi Panda, Impact of Swarm Intelligence Techniques in Diabetes Disease Risk Prediction(2016) – June 2016 International Journal of Knowledge Discovery in Bioinformatics 6(2):29-43
9. Mr. J. Beschi Raja1*, Dr. S. Chenthur Pandian, PSO-FCM Based Data Mining Model to Predict Diabetic Disease(2020) - Computer Methods and Programs in Biomedicine (IF5.428), Pub Date : 2020-07-11
10.Shahrokh Asadi, SeyedEhsan Roshan, Michael W. Kattan, Random forest swarm optimization-based for heart diseases diagnosis(2021) - Journal of Biomedical Informatics
11.Volume 115, March 2021, 103690
12.Haoxin Tang, Yi Zhang, Baolin Xiang, Mingkun Liu, and Junming Hu, and Cheng Liu , Risk prediction of early diabetes mellitus based on combination model -MATEC Web of Conferences 336, 07018 (2022)