Parkinson’s Disease Stage Classification with Gait Analysis using Machine Learning Techniques and SMOTE-based Approach for Class Imbalance Problem
Author:
Affiliation:
1. Manipal Institute of Technology Manipal Academy of Higher Education,Dept. of Biomedical Engineering,Manipal,India
2. Manipal College of Health Professions Manipal Academy of Higher Education,Dept. of Physiotherapy,Manipal,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9973801/9974618/09974754.pdf?arnumber=9974754
Reference10 articles.
1. Data-Driven Based Approach to Aid Parkinson’s Disease Diagnosis
2. Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review
3. A hybrid spatio-temporal model for detection and severity rating of Parkinson’s disease from gait data
4. SMOTE: Synthetic Minority Over-sampling Technique
5. Towards Real-Time Prediction of Freezing of Gait in Patients With Parkinson’s Disease: Addressing the Class Imbalance Problem
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson’s Disease Classification;IEEE Access;2024
2. Deep Learning in Medical Robotics for Parkinson's disease Symptom Assessment;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01
3. A Comprehensive Review on AI-Enabled Models for Parkinson’s Disease Diagnosis;Electronics;2023-02-04
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