Artificial Intelligence in Action (2019-2024): A Review on Parkinson’s Disease Detection Using Non-Invasive Procedures
Alzheimer’s disease, Parkinson’s disease (PD), multiple sclerosis, epilepsy, and stroke are among the most significant neurological disorders. This paper focuses on PD. Although there is currently no cure for PD, early identification can help manage the condition. We present a...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11052217/ |
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| Summary: | Alzheimer’s disease, Parkinson’s disease (PD), multiple sclerosis, epilepsy, and stroke are among the most significant neurological disorders. This paper focuses on PD. Although there is currently no cure for PD, early identification can help manage the condition. We present a comprehensive review of cutting-edge research on computerized methods for detecting and monitoring Parkinson’s disease. Our study covers various feature extraction techniques, methods for reducing dimensionality, feature selection approaches, and classification strategies related to PD. The articles reviewed were chosen from various journals, from January 2019 to September 2024, based on the data sources and symptoms used to diagnose PD. We conducted a thorough analysis and documented information about datasets, software tools, and libraries for future use of researchers in this field. |
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| ISSN: | 2169-3536 |