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Review on AI-Based Diagnosis of Parkinson's Disorders

Review on AI-Based Diagnosis of Parkinson's Disorders

Avni Kuba, Brijanshi Rastogi, Anushree Sah, Saurabh Rawat
Copyright: © 2023 |Pages: 11
ISBN13: 9798369308769|ISBN13 Softcover: 9798369348390|EISBN13: 9798369308776
DOI: 10.4018/979-8-3693-0876-9.ch014
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MLA

Kuba, Avni, et al. "Review on AI-Based Diagnosis of Parkinson's Disorders." AI and IoT-Based Technologies for Precision Medicine, edited by Alex Khang, IGI Global, 2023, pp. 236-246. https://doi.org/10.4018/979-8-3693-0876-9.ch014

APA

Kuba, A., Rastogi, B., Sah, A., & Rawat, S. (2023). Review on AI-Based Diagnosis of Parkinson's Disorders. In A. Khang (Ed.), AI and IoT-Based Technologies for Precision Medicine (pp. 236-246). IGI Global. https://doi.org/10.4018/979-8-3693-0876-9.ch014

Chicago

Kuba, Avni, et al. "Review on AI-Based Diagnosis of Parkinson's Disorders." In AI and IoT-Based Technologies for Precision Medicine, edited by Alex Khang, 236-246. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/979-8-3693-0876-9.ch014

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Abstract

Parkinson's disease is a neurological condition that progressively damages both the motor and non-motor portions of the brain. It's crucial to remember that Parkinson's disease (PD) still has no treatment, despite the fact that medical science has advanced quickly over time.With the aid of machine learning techniques, this work aims to give a detailed analysis of the use of artificial intelligence in kinematic analysis of PD. The search included articles discussing the application of ML algorithms for Parkinson Disease diagnosis and assessment utilizing data representing mobility in the upper and lower extremities. This work is based on a number of publicly available papers. There is a thorough discussion of the available datasets and their varied features. A complete overview of the current algorithms, methods, and approaches that make use of various datasets is also offered, along with information on how they have affected the development of newer research directions. Early diagnosis and supporting rehabilitation are the most important advantages.

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