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 Spiral...

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主要な著者:	Mohamed J. Saadh, Waleed K. Abdulsahib, Hardik Doshi, Anupam Yadav, J. Gowrishankar, Mayank Kundlas, Nargiza Mansurova, Kamal Kant Joshi, Fadhil Feez Sead, Bagher Farhood
フォーマット:	Artigo
言語:	Inglês
出版事項:	Wiley 2025-08-01
シリーズ:	Brain and Behavior
主題:	deep learning feature selection machine learning Parkinson's disease spiral drawings
オンライン･アクセス:	https://doi.org/10.1002/brb3.70770
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