Comparing Ensemble-Based Machine Learning Classifiers Developed for Distinguishing Hypokinetic Dysarthria from Presbyphonia

It is essential to understand the voice characteristics in the normal aging process to accurately distinguish presbyphonia from neurological voice disorders. This study developed the best ensemble-based machine learning classifier that could distinguish hypokinetic dysarthria from presbyphonia using...

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Bibliografiset tiedot

Päätekijä:	Haewon Byeon
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2021-03-01
Sarja:	Applied Sciences
Aiheet:	Parkinson’s disease random forest gradient boosting model XGBoost presbyphonia
Linkit:	https://www.mdpi.com/2076-3417/11/5/2235
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