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Artificial Intelligence Based Diagnosis of Parkinson’s Disorders

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Data Analysis for Neurodegenerative Disorders

Part of the book series: Cognitive Technologies ((COGTECH))

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Abstract

Parkinson is a neurodegenerative disorder which affects a considerable fraction of the global population. Early and accurate diagnosis of Parkinson is essential for proper treatment and disease management. Artificial intelligence (AI) has emerged as a promising tool in the field of medical diagnosis, including PD. AI algorithms can analyze large datasets of patient information, including medical records, imaging data, and patient histories, to identify patterns and predict the likelihood of PD. Machine learning (ML) and deep learning (DL) algorithms have been trained on various data sources to diagnose PD with high accuracy, sensitivity, and specificity. AI-based approaches to PD diagnosis have also led to the development of new tools, including wearable sensors and mobile apps that can monitor patients’ movements and track changes in their condition. While AI-based PD diagnosis is still in its early stages, the potential for this technology to improve patient outcomes is significant. However, it is essential to continue improving AI algorithms and incorporating them into clinical practice to ensure their safety and effectiveness while diagnosing Parkinson and its treatment.

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Author information

Authors and Affiliations

  1. Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India

    Kamini & Shalli Rani

  2. Manchester Metropolitan University, Manchester, UK

    Ali Kashif Bashir

Authors
  1. Kamini
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  2. Shalli Rani
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  3. Ali Kashif Bashir
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Corresponding author

Correspondence to Shalli Rani .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Deepika Koundal

  2. Chongqing University of Posts and Telecommunications, Chongqing, China

    Deepak Kumar Jain

  3. Department of Computer Science, University of Illinois at Springfield, Springfield, IL, USA

    Yanhui Guo

  4. Faculty of Engineering, Tanta University, Tanta, Al-Garbia, Egypt

    Amira S. Ashour

  5. Department of Computer Science, Taif University, Taif, Saudi Arabia

    Atef Zaguia

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Kamini, Rani, S., Bashir, A.K. (2023). Artificial Intelligence Based Diagnosis of Parkinson’s Disorders. In: Koundal, D., Jain, D.K., Guo, Y., Ashour, A.S., Zaguia, A. (eds) Data Analysis for Neurodegenerative Disorders. Cognitive Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-99-2154-6_13

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  • DOI: https://doi.org/10.1007/978-981-99-2154-6_13

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  • Online ISBN: 978-981-99-2154-6

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