Optimal Feature Selection and Classification for Parkinson’s Disease Using Deep Learning and Dynamic Bag of Features Optimization

Optimal Feature Selection and Classification for Parkinson’s Disease Using Deep Learning and Dynamic Bag of Features Optimization

Parkinson’s Disease (PD) is a neurological condition that worsens with time and is characterized bysymptoms such as cognitive impairment andbradykinesia, stiffness, and tremors. Parkinson’s is attributed to the interference of brain cells responsible for dopamine production, a substance regulating c...

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Bibliographic Details
Main Authors:	Aarti, Swathi Gowroju, Mst Ismat Ara Begum, A. S. M. Sanwar Hosen
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	BioMedInformatics
Subjects:	Parkinson’s disease feature selection deep learning dynamic bag of features classification predictive modeling
Online Access:	https://www.mdpi.com/2673-7426/4/4/120
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