VAMLM-PDD: Vigorous Amalgamated Machine Learning Model for Investigating Parkinson's Disease Detection
Author:
Affiliation:
1. Hallym University,Department of Artificial Intelligence Convergence,Chuncheon,Korea
2. Hallym University College of Medicine,Department of Neurology, Chuncheon Sacred Heart Hospital,Chuncheon,Korea
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10628105/10628121/10628415.pdf?arnumber=10628415
Reference36 articles.
1. Parkinsons disease classification using neural network and feature selection;Khemphila;International Journal of Mathematics and Computer Science,2012
2. Neural network-based approach to discriminate healthy people from those with Parkinsons disease;Ene;Computing,2008
3. A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform
4. Diagnosis of Parkinson's Disease Using Speech Samples and Threshold-Based Classification
5. Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity
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