Stacked Ensemble Learning for Classification of Parkinson’s Disease Using Telemonitoring Vocal Features

Stacked Ensemble Learning for Classification of Parkinson’s Disease Using Telemonitoring Vocal Features

<b>Background:</b> Parkinson’s disease (PD) is a progressive neurodegenerative condition that impairs motor and non-motor functions. Early and accurate diagnosis is critical for effective management and care. Leveraging machine learning (ML) techniques, this study aimed to develop a robu...

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Bibliographic Details
Main Authors:	Bolaji A. Omodunbi, David B. Olawade, Omosigho F. Awe, Afeez A. Soladoye, Nicholas Aderinto, Saak V. Ovsepian, Stergios Boussios
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Diagnostics
Subjects:	Parkinson’s disease stacked ensemble learning machine learning feature selection predictive analytics
Online Access:	https://www.mdpi.com/2075-4418/15/12/1467
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