Hybrid grey wolf and whale optimization for enhanced Parkinson's prediction based on machine learning models using biomedical sound

Background: Biomedical voice measurements have been used by many physicians and scientists to distinguish Parkinson's patients from ordinary people. Measurements of biomedical voices involve many variables calculated from signal analysis of the voice. These variables can be used to distinguish Parki...

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Hlavní autoři:	Hazem Al-Najjar, Nadia Al-Rousan, Dana Al-Najjar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2024-01-01
Edice:	Informatics in Medicine Unlocked
Témata:	Feature selection Biomedical voice measurements Machine learning model Parkinson's disease Whale optimization Grey wolf optimization
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2352914824000807
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