A predictive risk level classification of diabetic patients using deep learning modified neural network-Reference-Cited by-同舟云学术

A predictive risk level classification of diabetic patients using deep learning modified neural network

Published:2020-09-04 Issue:7 Volume:12 Page:7703-7713
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Appavu alias Balamurugan S.,Salomi M.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02490-1.pdf

Reference21 articles.

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2. Armengol E (2019) Constructing a classifier with patterns. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-019-01514-9

3. Bajestani NS, Kamyad AV, Esfahani EN, Zare A (2018) Prediction of retinopathy in diabetic patients using type-2 fuzzy regression model. Eur J Oper Res 264(3):859–869. https://doi.org/10.1016/j.ejor.2017.07.046

4. Baynes H (2015) Classification, pathophysiology, diagnosis and management of diabetes mellitus. J Diabetes Metab. https://doi.org/10.4172/2155-6156.1000541

5. Cui S, Wang D, Wang Y, Pay-Wen Yu, Jin Y (2018) An improved support vector machine-based diabetic readmission prediction. Comput Methods Progr Biomed 166:123–135. https://doi.org/10.1016/j.cmpb.2018.10.012

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