An Improved Convolutional Neural Network for Classification of Type-2 Diabetes Mellitus-Reference-Cited by-同舟云学术

An Improved Convolutional Neural Network for Classification of Type-2 Diabetes Mellitus

Published:2022-08-04 Issue: Volume: Page:417-424
ISSN:2524-7565
Container-title:Proceedings of the Third International Conference on Information Management and Machine Intelligence
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Author:

Singh Shatakshi,Rathore Bhoomika,Das Harshita,Agrawal Shalini,Bhutia Dawa,Maan Vinod,Jangir Sunil Kumar,Kumar Manish

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2065-3_45

Reference10 articles.

1. American Diabetes Association (2007) Diagnosis and classification of diabetes mellitus. Diabetes Care 30(1). https://doi.org/10.2337/DC07-S042

2. Choudhury A (2021) D. G.-R. developments in machine learning and, and undefined 2019. In: A survey on medical diagnosis of diabetes using machine learning techniques. Springer. Accessed 21 Nov 2021. Available https://link.springer.com/chapter; https://doi.org/10.1007/978-981-13-1280-9_6

3. Roychowdhury S, Koozekanani DD, Parhi KK (2014) DREAM: diabetic retinopathy analysis using machine learning. IEEE J Biomed Health Inform 18(5):1717–1728. https://doi.org/10.1109/JBHI.2013.2294635

4. Kumar M, Mishra SK (2017) Teaching learning based optimization-functional link artificial neural network filter for mixed noise reduction from magnetic resonance image. Bio-med Mater Eng 28(6):643–654

5. Dewangan AK (2021) P. A.-I. J. of Engineering, and undefined 2015. Classification of diabetes mellitus using machine learning techniques, neliti.com. Accessed: 21 Nov 2021. Available: https://www.neliti.com/publications/257905/classification-of-diabetes-mellitus-using-machine-learning-techniques