Voice-driven Parkinson’s disease prediction using a chaotic Grey Wolf–Dragonfly algorithm in high-dimensional datasets

Abstract Parkinson’s Disease (PD) is a progressive neurological disorder affecting motor and non-motor functions. Early detection significantly improves patient outcomes, yet traditional clinical diagnoses are often delayed. Machine learning (ML), especially using speech data—given that over 90% of...

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Główni autorzy:	Justice Kwame Appati, Alfred Tettey Ternor, Waliyyullah Umar Bandawu, Leonard Mensah Boante, Stephen Akatore Atimbire, Michael Agbo Tettey Soli
Format:	Artigo
Język:	Inglês
Wydane:	Springer 2026-02-01
Seria:	Discover Applied Sciences
Hasła przedmiotowe:	Parkinson's disease Chaotic Grey Wolf–Dragonfly algorithm Logistic chaotic map Feature selection Grey Wolf optimization Machine learning
Dostęp online:	https://doi.org/10.1007/s42452-026-08274-0
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