Prediction of Parkinson Disease using Autoencoder Convolutional Neural Networks-Reference-Cited by-同舟云学术

Prediction of Parkinson Disease using Autoencoder Convolutional Neural Networks

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)
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Author:

Hema M S¹,Maheshprabhu R²,Nageswara Guptha M¹,Mary G Prema Arokia³,Sharma Aditi¹

Affiliation:

1. Sri Venkateshwara College of Engineering,Bangalore,India

2. Aurora's Scientific & Technological Institute,Hyderabad,India

3. Kumaraguru Collefe of Technology,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059452/10059584/10060292.pdf?arnumber=10060292

Reference24 articles.

1. Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson's Disease Detection;muntasir;Diagnostics,2021

2. Environmental Risk Factors and Parkinson” s Disease-A Study Report;kanagaraj;International Journal of Recent Technology and Engineering (IJRTE),2018

3. Parkinson disease detection using deep neural networks;johri;Twelfth International Conference on Contemporary Computing (IC3),0

4. Machine Learning Techniques for Prediction of Parkinson’s Disease using Big Data

5. Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition;kooksung;IEEE Access,2020

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