Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data
Abstract: Highlights•Pioneering traumatic seizure classification with multimodal neuroimaging data (dMRI, EEG, and fMRI).•Bayesian estimator for direct classification, handling missing modality in data.•Novel fusion algorithms for integrating multivariate information.•Modality-specific potential biomarkers using statistics and explainable machine learning.
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