Table 8.

Performance of Independent Component Analysis (ICA) method (instead of using the developed approach) using MRI dataset (Unit %).

Illnesses	FS	MN	GL	VD	CA	HY	CC	MA	CS	MI	AD	CT	ME	PD	SR	AL	CJ	MB	AV	MS	LE	HE	CH	HD	NB
FS	71	0	2	1	2	2	0	1	2	2	0	1	2	0	2	1	2	0	2	1	1	0	2	2	1
MN	1	77	0	2	0	0	2	2	1	0	1	2	0	1	2	2	0	1	2	2	0	1	0	1	0
GL	2	0	81	0	2	1	0	1	0	2	0	1	1	0	1	1	2	0	1	0	2	0	1	0	1
VD	0	2	0	82	0	1	2	0	1	0	2	0	0	2	0	0	1	2	0	1	0	2	0	2	0
CA	1	0	2	1	73	0	1	2	1	2	0	1	2	0	2	2	0	1	2	0	2	0	1	2	2
HY	0	1	0	0	1	84	2	0	2	0	1	2	0	1	0	0	1	0	0	2	0	2	0	1	0
CC	2	0	1	1	0	0	85	1	0	2	0	0	1	0	0	2	0	0	1	0	1	0	2	0	1
MA	0	2	0	2	1	1	0	81	1	0	2	1	0	2	1	0	1	2	0	0	0	1	0	2	0
CS	1	0	1	0	2	0	2	0	80	1	0	2	0	0	2	1	0	0	1	2	2	0	2	1	0
MI	0	2	0	1	0	0	0	2	0	88	0	0	1	0	0	0	2	1	0	0	0	2	0	0	1
AD	2	0	1	0	2	1	2	0	2	0	74	1	0	2	1	2	0	0	2	1	1	0	2	2	2
CT	2	1	0	2	1	0	2	1	0	2	2	75	1	0	2	0	1	2	0	2	0	2	0	2	0
ME	0	2	1	0	2	1	1	0	2	1	0	2	77	1	0	2	0	1	2	0	1	1	2	0	1
PD	1	0	2	1	0	0	2	1	0	0	1	0	2	79	1	0	2	2	0	1	2	0	1	2	0
SR	2	1	0	0	1	2	0	0	2	1	0	1	0	0	83	2	0	0	2	0	0	2	0	1	0
AL	0	0	1	1	0	0	1	2	0	0	2	0	2	1	0	85	1	0	0	2	0	0	2	0	0
CJ	1	0	0	0	2	0	0	0	1	1	0	0	0	0	1	0	89	2	0	0	1	0	0	2	0
MB	0	2	0	1	0	1	0	2	0	0	0	2	0	0	0	0	0	90	0	1	0	0	1	0	0
AV	1	0	0	0	0	0	1	0	0	0	2	0	0	1	0	2	0	0	91	0	0	2	0	0	0
MS	0	0	2	0	1	0	0	0	1	0	0	0	2	0	0	0	0	0	0	92	0	0	0	0	2
LE	2	1	0	2	0	2	0	1	0	2	2	1	0	0	2	1	2	0	2	1	76	0	2	1	0
HE	1	0	2	0	1	0	2	0	2	0	1	0	1	2	0	2	0	2	0	2	2	78	0	1	1
CH	0	2	0	1	0	2	0	1	0	1	0	2	0	2	1	0	1	0	2	0	1	1	81	0	2
HD	2	0	1	0	2	0	1	0	2	0	2	0	1	0	2	2	0	1	0	1	2	2	0	77	2
NB	0	1	0	2	0	1	0	2	1	1	0	2	0	1	2	0	2	0	1	2	0	0	2	0	80
Average	81.16%