Classification of Diabetic Disorder using Machine Learning Approaches-Reference-Cited by-同舟云学术

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Classification of Diabetic Disorder using Machine Learning Approaches

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer, Power and Communications (ICCPC)
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Author:

Srinath R.¹,Maragathavalli P.¹,Shalini C.²,Asadh Syed¹

Affiliation:

1. Vel Tech Rangarajan Dr.Sagunthala R & D Institute of Science and Technology,ECE,Chennai,India,600062

2. T.J.S College of Engineering,ECE,Chennai,India,601206

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10072005/10072027/10072213.pdf?arnumber=10072213

Reference14 articles.

1. Explainable Diabetic Retinopathy using EfficientNET*

2. Machine Learning Approach: Detecting Polycystic Ovary Syndrome & It's Impact on Bangladeshi Women

3. Detection of Microaneurysm in Retina Image using Machine Learning Approach

4. DREAM: Diabetic Retinopathy Analysis Using Machine Learning

5. Classification of Diabetic Retinopathy based on Hybrid Neural Network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modified Support Vector Machine to Improve Diabetic Disease Prediction;2023 IEEE International Conference on Contemporary Computing and Communications (InC4);2023-04-21

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