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Information • Vol 16 • No 1
An Approach for Detecting Parkinson’s Disease by Integrating Optimal Feature Selection Strategies with Dense Multiscale Sample Entropy
December 2024 • Minh Tai Pham Nguyen, Minh Tran, Tadashi Nakano, Thi Hong Tran, Quoc Duy Nam Nguyen
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 maintaining the uniqueness of signal features. DM-SamEn employs a weighting mechanism that considers the dynamic properties of the signal, thereby reducing redundancy and improving the distinctiveness of features extracted from…
Feature Selection
Artificial Intelligence
Computer Science
Parkinson's Disease
Disease
Machine Learning
Medicine
Physics
Histopathology
Quantum Mechanics