Parkinson’s disease Classification from Speech Signal Parameters using Deep Neural Network

Author:

Deepa P.1,Khilar Rashmita2

Affiliation:

1. Panimalar Engineering College,Dept. of CSE,Chennai,India

2. Institute of IT Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences,Chennai,India

Publisher

IEEE

Reference15 articles.

1. Imaging Approaches to Parkinson Disease

2. Prediction of Parkinson’s disease using Ensemble Machine Learning classification from acoustic analysis;patra;Journal of Physics Conference Series,2019

3. Robust automated Parkinson disease detection based on voice signals with transfer learning

4. Predicting Severity Of Parkinson’s Disease Using Deep Learning;grover;International conference on Computational Intelligence and Data Department of Computer Science and Engineering Indira Gandhi Delhi Technical University for Women Kashmere Gate Delhi 110006 India Procedia Computer Science,2018

5. A Comparative Analysis Of Parkinson Disease Prediction Using Machine Learning Approaches;shamrat,2019

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1. BEiT Transformer Models to Aid in the Early Detection of Parkinson Illness;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

2. Integrated Feature Extraction and Classification Framework for Early Diagnosis of Parkinson’s Disease: A Neural Network Perspective;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

3. Enhancing Accuracy in the Detection of Chondrosarcoma Using Mobile Net Algorithm and Comparison with Support Vector Machine;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

4. Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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