IoT-Enabled Alzheimer Disease Detection: A Convolutional Encoder-Decoder Approach Enhanced by Alpine Skiing Optimization

Alzheimer's disease (AD) represents a significant challenge in the treatment of dementia among older adults, with early diagnosis being crucial for improving patient outcomes and extending life expectancy. This study introduces a novel Alzheimer's prediction model that leverages Internet o...

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Veröffentlicht in:	2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) S. 386 - 391
Hauptverfasser:	Evangelin Sonia, S.V., Mustare, Narendra B, Sailaja, V., Sunitha, Pamarthi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.08.2024
Schlagworte:	Accuracy Adaptive Self-Guided Filter Alpine skiing optimization Alzheimer's disease Alzheimer's prediction model Brain modeling Convolutional Encoders and Decoder Feature extraction Information filters Internet of Things Neuroimaging Optimization Predictive models Transformers
Online-Zugang:	Volltext
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