Table 2.

List of abbreviations for models mentioned in this paper.

Abbreviation	Description	Input	Classification Method
3D-ResNet	3D Residual Network	3D preprocessed image	3D- ResNet
XGB-HC	XGBoostmodelon hippocampus regions	Flattened 3D hippocampus region extracted from 3D preprocessed image	XGBoost
XGB	XGBoostmodelon complete image	Flattened 3D hippocampus extended region extracted from 3D preprocessed image	XGBoost
RTE-XGB	XGBoost model with input dimension reduction	Flattened 3D hippocampus extended region extracted from 3D preprocessed image	RTE XGBoost
ENS-1	Ensemble model of all XGBoost models	Predicted probability of XGB-HC, XGB, RTE-XGB	XGBoost
ENS-2	ENS-1 + 3D-ResNet	Predicted probability of XGB-HC, XGB, RTE-XGB, 3D-ResNet	XGBoost
ENS-3	ENS-1 + 3D-ResNet + demographics features	Predicted probability of XGB-HC, XGB, RTE-XGB, 3D-ResNet, demographic features (age and gender)	XGBoost
ENS-ALL	ENS-1 + 3D-ResNet + demographics features + cognitive scores	Predicted probability of XGB-HC, XGB, RTE-XGB, 3D-ResNet, demographic features (age and gender), cognitive test scores (MMSE and CDR)	XGBoost