Timely Prediction of Diabetes by Means of Machine Learning Practices-Reference-Cited by-同舟云学术

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Timely Prediction of Diabetes by Means of Machine Learning Practices

Published:2022-07-03 Issue: Volume: Page:277-287
ISSN:2367-3370
Container-title:Proceedings of Third International Conference on Computing, Communications, and Cyber-Security
language:
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Author:

Tripathi Rajan Prasad^ORCID,Gupta Punit^ORCID,Goyal Mayank Kumar^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1142-2_21

Reference22 articles.

1. “IDF Diabetes Atlas—8th Edition. (2017). International Diabetes Federation. [Online]. Available: https://diabetesatlas.org/. Accessed: December 15, 2018.

2. http://www.who.int/news-room/fact-sheets/detail/diabetes. Retrieved July 27, 2018.

3. https://www.diabetesdaily.com/learn-about-diabetes/what-is-diabetes/how-many-people-have-diabetes/

4. Jhaldiyal, T., & Mishra, P. K. (2014). Analysis and prediction of diabetes mellitus using PCA, REP and SVM. International Journal of Engineering and Technology Research (IJETR), 2(8) (2014). ISSN: 2321-0869.

5. Prabhu, P., et al. (2011). Improving the performance of K-means clustering for high dimensional data set. International Journal of Computer Science and Engineering, 3(6) (2011).

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