An Approach for Detecting Parkinson’s Disease by Integrating Optimal Feature Selection Strategies with Dense Multiscale Sample Entropy

An Approach for Detecting Parkinson’s Disease by Integrating Optimal Feature Selection Strategies with Dense Multiscale Sample Entropy

Parkinson’s disease (PD) is a neurological disorder that severely affects motor function, especially gait, requiring accurate diagnosis and assessment instruments. This study presents Dense Multiscale Sample Entropy (DM-SamEn) as an innovative method for diminishing feature dimensions while maintain...

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Bibliographic Details
Main Authors: Minh Tai Pham Nguyen, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran, Quoc Duy Nam Nguyen
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Information
Subjects:
Parkinson’s Disease detection
dense multiscale sample entropy
feature selection strategy
feature selection process
machine learning
Online Access:https://www.mdpi.com/2078-2489/16/1/1
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