A Machine Learning Framework for Binary and Multiclass Classification of Cognitive Impairment Using Structural MRI Biomarkers
The findings support the potential role of structural MRI biomarkers combined with interpretable ML approaches for the classification of cognitive impairment and the integration of demographic variables improved model performance, particularly in binary discrimination tasks, whereas multiclass classification remained m...