The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review

<div><p>Background: Parkinson’s Disease (PD) is a chronic neurodegenerative disorder that has been ranked second after Alzheimer’s disease worldwide. Early diagnosis of PD is crucial to combat against PD to allow patients to deal with it properly. However, there is no medical test(s) ava...

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Main Author: Mahmood Saleh Alzubaidi (18456723) (author)
Other Authors: Uzair Shah (15740699) (author), Haider Dhia Zubaydi (18518991) (author), Khalid Dolaat (18518994) (author), Alaa A. Abd-Alrazaq (18456726) (author), Arfan Ahmed (17541309) (author), Mowafa Househ (9154124) (author)
Published: 2021
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author Mahmood Saleh Alzubaidi (18456723)
author2 Uzair Shah (15740699)
Haider Dhia Zubaydi (18518991)
Khalid Dolaat (18518994)
Alaa A. Abd-Alrazaq (18456726)
Arfan Ahmed (17541309)
Mowafa Househ (9154124)
author2_role author
author
author
author
author
author
author_facet Mahmood Saleh Alzubaidi (18456723)
Uzair Shah (15740699)
Haider Dhia Zubaydi (18518991)
Khalid Dolaat (18518994)
Alaa A. Abd-Alrazaq (18456726)
Arfan Ahmed (17541309)
Mowafa Househ (9154124)
author_role author
dc.creator.none.fl_str_mv Mahmood Saleh Alzubaidi (18456723)
Uzair Shah (15740699)
Haider Dhia Zubaydi (18518991)
Khalid Dolaat (18518994)
Alaa A. Abd-Alrazaq (18456726)
Arfan Ahmed (17541309)
Mowafa Househ (9154124)
dc.date.none.fl_str_mv 2021-06-16T03:00:00Z
dc.identifier.none.fl_str_mv 10.3390/healthcare9060740
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/The_Role_of_Neural_Network_for_the_Detection_of_Parkinson_s_Disease_A_Scoping_Review/25771170
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Information and computing sciences
Artificial intelligence
Parkinson’s disease
neural network
deep learning
classification
dc.title.none.fl_str_mv The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>Background: Parkinson’s Disease (PD) is a chronic neurodegenerative disorder that has been ranked second after Alzheimer’s disease worldwide. Early diagnosis of PD is crucial to combat against PD to allow patients to deal with it properly. However, there is no medical test(s) available to diagnose PD conclusively. Therefore, computer-aided diagnosis (CAD) systems offered a better solution to make the necessary data-driven decisions and assist the physician. Numerous studies were conducted to propose CAD to diagnose PD in the early stages. No comprehensive reviews have been conducted to summarize the role of AI tools to combat PD. Objective: The study aimed to explore and summarize the applications of neural networks to diagnose PD. Methods: PRISMA Extension for Scoping Reviews (PRISMA-ScR) was followed to conduct this scoping review. To identify the relevant studies, both medical databases (e.g., PubMed) and technical databases (IEEE) were searched. Three reviewers carried out the study selection and extracted the data from the included studies independently. Then, the narrative approach was adopted to synthesis the extracted data. Results: Out of 1061 studies, 91 studies satisfied the eligibility criteria in this review. About half of the included studies have implemented artificial neural networks to diagnose PD. Numerous studies included focused on the freezing of gait (FoG). Biomedical voice and signal datasets were the most commonly used data types to develop and validate these models. However, MRI- and CT-scan images were also utilized in the included studies. Conclusion: Neural networks play an integral and substantial role in combating PD. Many possible applications of neural networks were identified in this review, however, most of them are limited up to research purposes.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Healthcare<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/healthcare9060740" target="_blank">https://dx.doi.org/10.3390/healthcare9060740</a></p>
eu_rights_str_mv openAccess
id Manara2_27ea14fd5fe7034e16e3da1279c58f60
identifier_str_mv 10.3390/healthcare9060740
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25771170
publishDate 2021
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rights_invalid_str_mv CC BY 4.0
spelling The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping ReviewMahmood Saleh Alzubaidi (18456723)Uzair Shah (15740699)Haider Dhia Zubaydi (18518991)Khalid Dolaat (18518994)Alaa A. Abd-Alrazaq (18456726)Arfan Ahmed (17541309)Mowafa Househ (9154124)Information and computing sciencesArtificial intelligenceParkinson’s diseaseneural networkdeep learningclassification<div><p>Background: Parkinson’s Disease (PD) is a chronic neurodegenerative disorder that has been ranked second after Alzheimer’s disease worldwide. Early diagnosis of PD is crucial to combat against PD to allow patients to deal with it properly. However, there is no medical test(s) available to diagnose PD conclusively. Therefore, computer-aided diagnosis (CAD) systems offered a better solution to make the necessary data-driven decisions and assist the physician. Numerous studies were conducted to propose CAD to diagnose PD in the early stages. No comprehensive reviews have been conducted to summarize the role of AI tools to combat PD. Objective: The study aimed to explore and summarize the applications of neural networks to diagnose PD. Methods: PRISMA Extension for Scoping Reviews (PRISMA-ScR) was followed to conduct this scoping review. To identify the relevant studies, both medical databases (e.g., PubMed) and technical databases (IEEE) were searched. Three reviewers carried out the study selection and extracted the data from the included studies independently. Then, the narrative approach was adopted to synthesis the extracted data. Results: Out of 1061 studies, 91 studies satisfied the eligibility criteria in this review. About half of the included studies have implemented artificial neural networks to diagnose PD. Numerous studies included focused on the freezing of gait (FoG). Biomedical voice and signal datasets were the most commonly used data types to develop and validate these models. However, MRI- and CT-scan images were also utilized in the included studies. Conclusion: Neural networks play an integral and substantial role in combating PD. Many possible applications of neural networks were identified in this review, however, most of them are limited up to research purposes.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Healthcare<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/healthcare9060740" target="_blank">https://dx.doi.org/10.3390/healthcare9060740</a></p>2021-06-16T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/healthcare9060740https://figshare.com/articles/journal_contribution/The_Role_of_Neural_Network_for_the_Detection_of_Parkinson_s_Disease_A_Scoping_Review/25771170CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/257711702021-06-16T03:00:00Z
spellingShingle The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
Mahmood Saleh Alzubaidi (18456723)
Information and computing sciences
Artificial intelligence
Parkinson’s disease
neural network
deep learning
classification
status_str publishedVersion
title The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
title_full The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
title_fullStr The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
title_full_unstemmed The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
title_short The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
title_sort The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
topic Information and computing sciences
Artificial intelligence
Parkinson’s disease
neural network
deep learning
classification