A Class Imbalance Learning Approach to Build an Efficient Machine Learning Model for the Diagnosis of Parkinson's Disease
Author:
Affiliation:
1. TKM College of Engineering,Kollam,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10576062/10576051/10576138.pdf?arnumber=10576138
Reference12 articles.
1. Parkinson's disease: clinical features and diagnosis
2. Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
3. Tensor Decomposition of Gait Dynamics in Parkinson's Disease
4. Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology
5. Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings
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