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Research Article

Diabetes Prognosis Using Random Forest Classification

  • Paper ID 402
  • Volume 3, Issue 3
  • Pages 201-203
  • Published Online: May-June 2022
  • 1 Views
Open Access Peer Reviewed

Authors

  • M. Anushya1
  • L.Priya2

1Department of Computer Science, Sri Kaliswari College (Autonomous), Tamilnadu, India. 2Head of the department, Department of Computer Science, Sri Kaliswari College (Autonomous), Tamil Nadu, India.

Article Information

DOI
No DOI
Published Online
May-June 2022
Pages
201-203
Article Type
Research Article
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No DOI available for cross-reference

References

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)
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