Linguistic-based Mild Cognitive Impairment detection using Informative Loss

Ali Pourramezan Fard, Mohammad H. Mahoor, Muath Alsuhaibani, Hiroko H. Dodge

Abstract: Highlights•Introducing a novel deep learning method for cognitive impairment detection.•Employs Natural Language Processing to analyze speech patterns.•Distinguishing Mild Cognitive Impairment from Normal Cognitive conditions.•Utilizing Transformer-based modules to capture contextual relationships.•Extracting temporal features from video interview transcripts.•Introducing InfoLoss to improve classification accuracy.