Leveraging transformer models to predict cognitive impairment

The enhanced Transformer model offers superior accuracy and efficiency in predicting cognitive decline compared to traditional models. Its capacity to process both continuous and categorical data and its interpretability through attention mechanisms make it a promising tool for early detection of neurodegenerative diseases, potentially improving clinical decision-making and interventions

Biostatistics · Cognition · Cognitive impairment · Interpretability · Machine learning · Pathology · Psychiatry · Public health · Computer Science · Dementia and Cognitive Impairment Research · EEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Medicine · Artificial Intelligence

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