VAMLM-PDD: Vigorous Amalgamated Machine Learning Model for Investigating Parkinson's Disease Detection

Author:

Prabhakar S.K.1,Park Dogeun1,Ju Young-Gi1,Kim Chulho2,Won D.O.1

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

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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