Machine Learning with Neural Networks for Early Detection of Peripheral Neuropathy in Patients with Diabetes-Reference-Cited by-同舟云学术

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Machine Learning with Neural Networks for Early Detection of Peripheral Neuropathy in Patients with Diabetes

Published:2023-12-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Raman Chandan Radha¹,Mahaboob John Y. M.²,Agarwal Jyoti³,Selvameena R.⁴,Vijay K Senthil⁵,Madan Parul⁶

Affiliation:

1. School of Management Sciences(SMS),Department of Computer Science,Varanasi,UP,India,221011

2. Mahendra College of Engineering,Department of ECE,Salem,Tamil Nadu

3. Shri Ram MurtiSmarak College of Engineering and Technology Bareilly,Computer Science and Engineering Department,U.P

4. Dr.M.G.R Educational and Research Institute,Department of Computer Science and Engineering,Maduravoyal,Chennai,600095

5. St. Martins Engineering College,Department of Computer Science and Engineering,Secunderabad,Telangana

6. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465284.pdf?arnumber=10465284

Reference11 articles.

1. Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts

2. Energetic Glaucoma Segmentation and Classification Strategies Using Depth Optimized Machine Learning Strategies

3. A systematic literature review of predicting diabetic retinopathy, nephropathy and neuropathy in patients with type 1 diabetes using machine learning

4. Glioma brain tumor detection using dual convolutional neural networks and histogram density segmentation algorithm

5. Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes

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