Tuning attention based long-short term memory neural networks for Parkinson’s disease detection using modified metaheuristics

Abstract Parkinson’s disease (PD) is a progressively debilitating neurodegenerative disorder that primarily affects the dopaminergic system in the basal ganglia, impacting millions of individuals globally. The clinical manifestations of the disease include resting tremors, muscle rigidity, bradykine...

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Autori principali:	Aleksa Cuk, Timea Bezdan, Luka Jovanovic, Milos Antonijevic, Milos Stankovic, Vladimir Simic, Miodrag Zivkovic, Nebojsa Bacanin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2024-02-01
Serie:	Scientific Reports
Soggetti:	Parkinson’s disease Medical diagnosis Long-short term memory neural networks Crayfish optimization algorithm Optimization
Accesso online:	https://doi.org/10.1038/s41598-024-54680-y
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