Towards Automated Classification of Parkinson's Disease: Comparison of Machine Learning Methods using MRI and Acoustic Data
Author:
Affiliation:
1. College of Computing and Inf. Sc, UTAS,Oman
2. Nottingham Trent University,Department of Computer Science,Nottingham,United Kingdom
Funder
Ministry of Higher Education, Research and Innovation (MoHERI)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371926.pdf?arnumber=10371926
Reference18 articles.
1. Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function
2. Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer’s and Parkinson’s Diseases
3. Parkinson's Disease Motor Symptoms in Machine Learning: A Review
4. Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison
5. A Comparative Study of Existing Machine Learning Approaches for Parkinson's Disease Detection
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