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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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11052217/ |
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| author | Peetabas Patro Tapan Kumar Das |
| author_facet | Peetabas Patro Tapan Kumar Das |
| author_sort | Peetabas Patro |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6ef3f1f0a6d94e818ceea99a6bd3723a |
| institution | Matheson Library |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-6ef3f1f0a6d94e818ceea99a6bd3723a2025-07-11T23:01:04ZengIEEEIEEE Access2169-35362025-01-011311658611660510.1109/ACCESS.2025.358357211052217Artificial Intelligence in Action (2019-2024): A Review on Parkinson’s Disease Detection Using Non-Invasive ProceduresPeetabas Patro0https://orcid.org/0009-0003-1377-9607Tapan Kumar Das1https://orcid.org/0000-0002-2683-3516School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, IndiaSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, IndiaAlzheimer’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.https://ieeexplore.ieee.org/document/11052217/Neurological disorderParkinson’s diseasedeep learningnon-invasive techniquemachine learning |
| spellingShingle | Peetabas Patro Tapan Kumar Das Artificial Intelligence in Action (2019-2024): A Review on Parkinson’s Disease Detection Using Non-Invasive Procedures IEEE Access Neurological disorder Parkinson’s disease deep learning non-invasive technique machine learning |
| title | Artificial Intelligence in Action (2019-2024): A Review on Parkinson’s Disease Detection Using Non-Invasive Procedures |
| title_full | Artificial Intelligence in Action (2019-2024): A Review on Parkinson’s Disease Detection Using Non-Invasive Procedures |
| title_fullStr | Artificial Intelligence in Action (2019-2024): A Review on Parkinson’s Disease Detection Using Non-Invasive Procedures |
| title_full_unstemmed | Artificial Intelligence in Action (2019-2024): A Review on Parkinson’s Disease Detection Using Non-Invasive Procedures |
| title_short | Artificial Intelligence in Action (2019-2024): A Review on Parkinson’s Disease Detection Using Non-Invasive Procedures |
| title_sort | artificial intelligence in action 2019 2024 a review on parkinson x2019 s disease detection using non invasive procedures |
| topic | Neurological disorder Parkinson’s disease deep learning non-invasive technique machine learning |
| url | https://ieeexplore.ieee.org/document/11052217/ |
| work_keys_str_mv | AT peetabaspatro artificialintelligenceinaction20192024areviewonparkinsonx2019sdiseasedetectionusingnoninvasiveprocedures AT tapankumardas artificialintelligenceinaction20192024areviewonparkinsonx2019sdiseasedetectionusingnoninvasiveprocedures |