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Classification of Parkinson’s Disease Using Various Machine Learning Techniques

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Advances in Computing and Data Sciences (ICACDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1045))

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Abstract

Parkinson’s Disease is one of the most wide spread diseases in elderly people. This disease largely limits the patient’s movement and speech abilities. The patient develops a tendency to fall frequently hence, ending up hurt with various injuries. Thus, it is very important to monitor and notify either the patients or their caregivers about the severity of the disease. This work showcases a comparative study of the various datasets, algorithms and techniques available for the classification of Parkinson’s Disease. This paper also presents the classification of Parkinson’s Disease based on various machine learning algorithms for UCI Spiral dataset for Parkinson’s Disease.

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Authors and Affiliations

  1. Punjab Engineering College (Deemed to be University), Chandigarh, 160012, India

    Tamanna Sood & Padmavati Khandnor

Authors
  1. Tamanna Sood
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  2. Padmavati Khandnor
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Corresponding authors

Correspondence to Tamanna Sood or Padmavati Khandnor .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Computer Science and Engineering, Jaypee Institute of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. ÚTIA AV ČR, Institute of Information Theory and Automation, Prague 8, Praha, Czech Republic

    Jan Flusser

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. CSE Department, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India

    Rekha Kashyap

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Sood, T., Khandnor, P. (2019). Classification of Parkinson’s Disease Using Various Machine Learning Techniques. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-13-9939-8_27

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  • DOI: https://doi.org/10.1007/978-981-13-9939-8_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9938-1

  • Online ISBN: 978-981-13-9939-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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