Comparison of Machine Learning Techniques for the Identification of the Stages of Parkinson’s Disease

Advances in Intelligent Systems and Computing - Computational Intelligence, Cyber Security and Computational Models ◽

10.1007/978-981-10-0251-9_25 ◽

2015 ◽

pp. 247-259 ◽

Cited By ~ 1

Author(s):

P. F. Deena ◽

Kumudha Raimond

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Machine Learning Techniques ◽

Learning Techniques

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Classification of Parkinson's Disease using Speech Attributes with Parametric and Nonparametric Machine Learning Techniques

2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) ◽

10.1109/iciss49785.2020.9316078 ◽

2020 ◽

Author(s):

S. Sharanyaa ◽

P N. Renjith ◽

K. Ramesh

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Machine Learning Techniques ◽

Learning Techniques

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The Diagnosis of Parkinson's Disease Based on Gait, Speech Analysis and Machine Learning Techniques

Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing ◽

10.1145/3448748.3448804 ◽

2021 ◽

Author(s):

Yuyang Miao ◽

Xinyu Lou ◽

Han Wu

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Speech Analysis ◽

Machine Learning Techniques ◽

Learning Techniques

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Classification of Parkinson’s Disease Using Various Machine Learning Techniques

Communications in Computer and Information Science - Advances in Computing and Data Sciences ◽

10.1007/978-981-13-9939-8_27 ◽

2019 ◽

pp. 296-311

Author(s):

Tamanna Sood ◽

Padmavati Khandnor

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Machine Learning Techniques ◽

Learning Techniques

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A hybrid system for Parkinson’s disease diagnosis using machine learning techniques

International Journal of Speech Technology ◽

10.1007/s10772-021-09837-9 ◽

2021 ◽

Author(s):

Rohit Lamba ◽

Tarun Gulati ◽

Hadeel Fahad Alharbi ◽

Anurag Jain

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Hybrid System ◽

Disease Diagnosis ◽

Machine Learning Techniques ◽

Learning Techniques

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Parkinson’s Disease Data Analysis and Prediction Using Ensemble Machine Learning Techniques

Mobile Computing and Sustainable Informatics - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-981-16-1866-6_24 ◽

2021 ◽

pp. 327-339

Author(s):

Rubash Mali ◽

Sushila Sipai ◽

Drish Mali ◽

Subarna Shakya

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Data Analysis ◽

Machine Learning Techniques ◽

Ensemble Machine Learning ◽

Learning Techniques

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A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques

Journal of Applied Biomedicine ◽

10.1016/j.bbe.2017.09.002 ◽

2018 ◽

Vol 38 (1) ◽

pp. 1-15 ◽

Cited By ~ 36

Author(s):

Mehrbakhsh Nilashi ◽

Othman Ibrahim ◽

Hossein Ahmadi ◽

Leila Shahmoradi ◽

Mohammadreza Farahmand

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Disease Progression ◽

Intelligent System ◽

Machine Learning Techniques ◽

Learning Techniques ◽

Hybrid Intelligent System

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Parkinson’s Disease Detection Using Machine Learning Techniques

Lecture Notes in Electrical Engineering - Advances in Electronics, Communication and Computing ◽

10.1007/978-981-15-8752-8_49 ◽

2021 ◽

pp. 483-493

Author(s):

P. Anudeep ◽

P. Mourya ◽

T. Anandhi

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Machine Learning Techniques ◽

Disease Detection ◽

Learning Techniques

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A Comparative Study of Early Detection of Parkinson's Disease using Machine Learning Techniques

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) ◽

10.1109/icoei48184.2020.9142956 ◽

2020 ◽

Author(s):

Shail Raval ◽

Rahil Balar ◽

Vibha Patel

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Early Detection ◽

Comparative Study ◽

Machine Learning Techniques ◽

Learning Techniques

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Detection of Parkinson’s Disease (PD) Based On Speech Recordings using Machine Learning Techniques

2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT) ◽

10.1109/3ict51146.2020.9311991 ◽

2020 ◽

Author(s):

Azian Azamimi Abdullah ◽

Nurul Nurain Norazman ◽

Wan Khairunizam Wan Ahmad ◽

Saidatul Ardeenawatie Awang ◽

Foong Wei Jian

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Machine Learning Techniques ◽

Learning Techniques

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A Study On Deep Learning And Machine Learning Techniques On Detection Of Parkinson’s Disease

E3S Web of Conferences ◽

10.1051/e3sconf/202130901008 ◽

2021 ◽

Vol 309 ◽

pp. 01008

Author(s):

P. Mounika ◽

S. Govinda Rao

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Deep Learning ◽

Early Stage ◽

Signs And Symptoms ◽

Machine Learning Techniques ◽

Learning Approaches ◽

Machine Learning Methods ◽

Learning Techniques

Parkinson’s disease (PD) is a sophisticated anxiety malady that impairs movement. Symptoms emerge gradually, initiating with a slight tremor in only one hand occasionally. Tremors are prevalent, although the condition is sometimes associated with stiffness or slowed mobility. In the early degrees of PD, your face can also additionally display very little expression. Your fingers won’t swing while you walk. Your speech can also additionally grow to be gentle or slurred. PD signs and symptoms get worse as your circumstance progresses over time. The goal of this study is to test the efficiency of deep learning and machine learning approaches in order to identify the most accurate strategy for sensing Parkinson’s disease at an early stage. In order to measure the average performance most accurately, we compared deep learning and machine learning methods.

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