AINeutralarXiv – CS AI · 6h ago6/10
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Interpretable Concept-Guided Polynomial Tabular Kolmogorov-Arnold Network for EEG-Based Mild Cognitive Impairment Detection
Researchers have developed CPTabKAN, a machine learning model that detects mild cognitive impairment from EEG sleep data by organizing features into physiologically meaningful concept groups and modeling their interactions. The approach achieved 90.38% F1-score, outperforming gradient boosting while maintaining interpretability—a critical advantage for clinical deployment where understanding model reasoning builds physician trust.