A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques

A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques

Abstract Objective This study aims to create a reliable and scalable framework for detecting Parkinson's disease (PD) using spiral drawings. It integrates advanced machine learning techniques to improve diagnostic accuracy and practical application in clinical settings. Materials and Methods Sp...

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Main Authors: Mohamed J. Saadh, Waleed K. Abdulsahib, Hardik Doshi, Anupam Yadav, J. Gowrishankar, Mayank Kundlas, Nargiza Mansurova, Kamal Kant Joshi, Fadhil Feez Sead, Bagher Farhood
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Brain and Behavior
Subjects:
deep learning
feature selection
machine learning
Parkinson's disease
spiral drawings
Online Access:https://doi.org/10.1002/brb3.70770
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https://doi.org/10.1002/brb3.70770

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