Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature-Reference-Cited by-同舟云学术

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Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature

Published:2022-07-27 Issue: Volume: Page:351-361
ISSN:2367-3370
Container-title:Proceedings of Seventh International Congress on Information and Communication Technology
language:
Short-container-title:

Author:

Marres-Salhuana Marieta^ORCID,Garcia-Rios Victor^ORCID,Cabanillas-Carbonell Michael^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1610-6_30

Reference58 articles.

1. Nnamoko N, Hussain A, England D (2018) Predicting diabetes onset: an ensemble supervised learning approach. IEEE Congr Evol Comput CEC 2018—Proc, pp 1–7 (2018). https://doi.org/10.1109/CEC.2018.8477663

2. Gnanadass I (2020) Prediction of gestational diabetes by machine learning algorithms. IEEE Potentials 39(6):32–37. https://doi.org/10.1109/MPOT.2020.3015190

3. Rippe JM (2021) The silent epidemic. Am J Med 134(2):164–165. https://doi.org/10.1016/j.amjmed.2020.09.028

4. WHO (2020) Recommendations for people living with NCDs, caregivers, family members and the public. World Heal Organ, pp 1–6. Available: https://apps.who.int/iris/handle/10665/331473

5. Mengist W, Soromessa T, Legese G (2020) Method for conducting systematic literature review and meta-analysis for environmental science research. MethodsX, 7:100777. https://doi.org/10.1016/j.mex.2019.100777

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