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

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, bradykinesia, and...

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Veröffentlicht in:	Scientific Reports Jg. 14; H. 1; S. 4309 - 12
Hauptverfasser:	Cuk, Aleksa, Bezdan, Timea, Jovanovic, Luka, Antonijevic, Milos, Stankovic, Milos, Simic, Vladimir, Zivkovic, Miodrag, Bacanin, Nebojsa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer Science and Business Media LLC 21.02.2024 Nature Publishing Group UK Nature Publishing Group Nature Portfolio
Schlagworte:	631/114/1305 631/114/2164 631/114/2397 631/114/2398 Basal Ganglia Crayfish optimization algorithm Disease detection Dopamine receptors Gait Humanities and Social Sciences Humans Long-short term memory neural networks Medical diagnosis Medicine Movement disorders multidisciplinary Neural networks Neural Networks, Computer Neurodegenerative diseases Optimization Parkinson Disease - diagnosis Parkinson's disease Q Quality of life R Rigidity Science Science (multidisciplinary) Short term memory Medical diagnosis Long-short term memory neural networks Crayfish optimization algorithm Parkinson’s disease Optimization
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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