Diabetes Classification Techniques: A Brief State-of-the-Art Literature Review-Reference-Cited by-同舟云学术

Diabetes Classification Techniques: A Brief State-of-the-Art Literature Review

Published:2020 Issue: Volume: Page:313-329
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Agushaka Jeffrey O.,Ezugwu Absalom E.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-61702-8_22

Reference71 articles.

1. Diabetes mellitus. (n.d.) Concise Dictionary of Modern Medicine. McGraw-Hill (2002). https://medical-dictionary.thefreedictionary.com/diabetes+mellitus . Accessed 9th Mar 2020

2. International Diabetes Foundation. IDF Diabetes Atlas, 9th edn. Brussels, Belgium (2019). https://www.diabetesatlas.org

3. American Diabetes Association. Classification and diagnosis of diabetes: Standards of medical care in diabetes – 2018. Diabet. Care 41(Suppl 1), S13–27 (2018). https://doi.org/10.2337/dc18-s002

4. Sun, Y.L., Zhang, D.L.: Machine learning techniques for screening and diagnosis of diabetes: a survey. Tehnički vjesnik 26(3), 872–880 (2019)

5. Kelarev, A.V., Stranieri, A., Yearwood, J.L.: Empirical study of decision trees and ensemble classifiers for monitoring of diabetes patients in pervasive healthcare. In: Proceedings of the International Conference on Network Based Information Systems (2012). https://doi.org/10.1109/NBiS.2012.20

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