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A novel method for Parkinson's disease diagnosis utilizing treatment protocols
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Otaibi, S Ayouni, MMH Khan… - BioMed Research …,
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Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification
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A Clustering Algorithm Application in Parkinson Disease based on k-means Method
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Prediction of Parkinson's disease using data mining
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2017 |
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International Journal of Research Publications in Engineering and Technology,
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Medical Data Mining Techniques for Health Care Systems
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2016 |
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MACHINE LEARNING BASED APPROACHES FOR PREDICTION OF PARKINSON'S DISEASE
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Machine Learning and Applications: An International Journal (MLAIJ) ,
2016 |
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Diagnosis of Parkinson Disease Using Machine Learning and Data Mining Systems from Voice Dataset
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Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014,
2015 |
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A Survey of Parkinson's Disease Using Data Mining Alogorithms
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A Professor, MP Scholar - ijcsit.com,
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A PROPOSED DATA MINING DRIVEN METHDOLOGY FOR MODELING HUMAN GAIT AND GEOSPATIAL TRAJECTORIES
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NULL
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Speech processing algorithm for detection of parkinson's disease
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International Journal of Engineering Research & Technology,
2013 |
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[1]
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Acoustic Properties of Vowel Production in Mandarin-Speaking Patients With Parkinson Disease-Related Hypokinetic Dysarthria
Journal of Craniofacial Surgery,
2025
DOI:10.1097/SCS.0000000000011233
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[2]
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PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson's disease severity assessment
Heliyon,
2024
DOI:10.1016/j.heliyon.2024.e34593
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[3]
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A Novel Method for Parkinson’s Disease Diagnosis Utilizing Treatment Protocols
BioMed Research International,
2022
DOI:10.1155/2022/6871623
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[4]
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Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification
Biocybernetics and Biomedical Engineering,
2022
DOI:10.1016/j.bbe.2022.07.002
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[5]
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Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014
Advances in Intelligent Systems and Computing,
2015
DOI:10.1007/978-3-319-11933-5_17
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