TABLE 3.

Classification Result for Prediction of Clinical Dementia Rating (CDR) Score

CDR Pairs	AUC	Sensitivity	Specificity	Feature Type	Features	Standard Error{73}	95% Confidence Interval	Z statistic	Significance level P (Area = 0.5)
0, 0.5	0.84	0.78	0.81	Volume	% HC Volume	0.04	(0.76, 0.89)	9.67	<0.0001
0.5, 1	0.71	0.77	0.67	Texture	Right HC Dost pc2	0.05	(0.61, 0.8)	4.03	0.0001
1, 2	0.56	0.58	0.59	Texture	Left HC Gabor pc 1	0.08	(0.42, 0.69)	0.74	0.46
0, 1	0.95	0.88	0.96	Texture	Left HC Dost pc1, Left HC LoGHist pc5, Left HC Gabor pc1, Right HC GLCM pc2	0.02	(0.9, 0.98)	22.88	<0.0001
0.5, 2	0.73	0.58	0.90	Texture	Left HC Gabor pc1, Left HC Dost pc1	0.08	(0.61, 0.83)	2.89	0.0038
0, 2	0.98	1.0	0.90	Volume	% HC Volume	0.01	(0.93, 0.99)	46.5	<0.0001

Key: CDR: Clinical Dementia Rating; Gabor: Gabor Filter Banks; Dost: Discrete Orthonormal Stockwell Transform; % Volume: relative volume in percent; LBP: Local Binary Patterns; HC: Hippocampus; LoGHist: Laplacian of Gaussian Histograms; GLCM: Gray level Concurrence Matrices; PC: Principal Component.