Detection of Parkinson disease for handwriting dataset using deep learning algorithms-Reference-Cited by-同舟云学术

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Detection of Parkinson disease for handwriting dataset using deep learning algorithms

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
language:
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Author:

Malathi A.¹,Ramalakshmi R.²,Gandhi Vaibhav³

Affiliation:

1. Anand Institute of Higher Technology,Department of Computer Science and Engineering,Chennai,India

2. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Srivilliputhur,India

3. Middlesex University,Department of Design Engineering,London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182388/10182370/10182413.pdf?arnumber=10182413

Reference25 articles.

1. Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines

2. Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues

3. Handwriting dynamics assessment using deep neural network for early identification of Parkinson’s disease

4. Digitized spiral drawing classification for Parkinson's disease diagnosis

5. Unsupervised learning for characterization of Arabic online handwriting of Parkinson’s disease patients

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. Early Detection Of Parkinson’s Disease Using Machine And Deep Learning Models;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27

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