A novel approach to perform linear discriminant analyses for a 4-way alzheimer’s disease diagnosis based on an integration of pearson’s correlation coefficients and empirical cumulative distribution function

Abstract

The diagnosis of Alzheimer's disease (AD) in his prodromal stage is a major topic. About 50% of the well-known Mild Cognitive Impairment (MCI) cohort are estimated to develop AD, and the reasons for conversion or not are still unknown. An efficient diagnosis of the earlier (EMCI) and later (LMCI) cohorts among normal control subjects (CN) is still a big research challenge. Encouraged by the available data provided by the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, we aim to develop a 4-way framework for