Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning

Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning

Parkinson’s disease (PD), characterized by motor impairments and tremors, also presents early-stage vocal abnormalities that hold diagnostic potential. Leveraging voice analysis and classification techniques, numerous studies explore the feasibility of early PD detection through automated systems. W...

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Bibliographic Details
Main Authors: Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
Parkinson’s disease detection
voice disorders
PSO
acoustic feature weighting
Online Access:https://doi.org/10.1088/2632-2153/adadc3
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