Study Findings on Alzheimer Disease Reported by Researchers at Department of Computational Intelligence (Optimized machine learning model for Alzheimer and epilepsy detection from EEG signals).

A recent study conducted by researchers at the Department of Computational Intelligence in India has focused on the bidirectional association between Alzheimer's disease and epilepsy. The study proposes an optimized machine learning model that utilizes EEG signals to detect Alzheimer's disease and epilepsy. By incorporating particle swarm optimization for feature selection and kernel PCA for dimensionality reduction, the proposed model outperforms existing methods in terms of precision, recall, f1-score, and accuracy. The study provides valuable insights into the clinical relevance of Alzheimer's disease and epilepsy and highlights the potential of machine learning in improving detection and diagnosis. [Extracted from the article]

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