FIGURE 1.

Methodology for dementia classification using CFAS and ADNI datasets. The dementia classification methodology was developed and executed in three key stages: design, implementation, and evaluation. After acquiring neuropathology data, we carried out pre‐processing and determined the correlation between different features. Utilising seven filter methods, we ranked all neuropathological features. Subsequently, we explored the connection between feature–feature correlation and feature ranking across all applied filter methods. Thereafter, classifiers were evaluated using various feature subsets, depending on their interrelations.