Simulation of liver function enzymes as determinants of thyroidism: a novel ensemble machine learning approach

Bulletin of the National Research Centre

Table 1 Basic descriptive statistics and Spearman–Pearson correlation analysis

Variables	ALB	D.BIL	T.BIL	GGT	ALP	AST	ALT	FT4	FT3	T4	T3	TSH	Status
Mean	3.6	0.2	0.6	27.9	129.1	32.5	31.8	20.9	5.2	125.9	3.6	9.0	2.0
Median	3.5	0.2	0.5	24.0	118.5	32.0	31.0	15.4	4.2	113.0	2.0	1.8	2.0
Mode	3.5	0.1	0.5	21.0	89.0	34.0	39.0	16.6	1.9	113.0	1.7	0.0	1.0
Standard Deviation	0.7	0.1	0.2	11.7	52.8	9.6	12.1	16.9	3.9	86.2	4.7	20.3	0.8
Kurtosis	1.0	9.5	0.5	0.0	0.6	− 0.1	− 0.2	2.4	0.2	− 0.9	31.1	13.4	− 1.5
Skewness	0.6	2.4	0.7	0.9	0.9	0.3	0.4	1.6	0.9	0.4	4.9	3.6	0.0
Range	4.0	0.6	1.2	55.4	259.0	52.0	59.3	83.3	16.3	318.2	36.7	108.0	2.0
Minimum	2.1	0.1	0.1	0.6	36.0	11.0	9.7	2.0	0.1	0.4	0.1	0.0	1.0
Maximum	6.1	0.7	1.3	56.0	295.0	63.0	69.0	85.3	16.4	318.6	36.9	108.0	3.0

Variables	ALB	D.BIL	T.BIL	GGT	ALP	AST	ALT	FT4	FT3	T4	T3	TSH	Status
ALB	1
D.BIL	0.160	1.000
T.BIL	0.040	0.196	1.000
GGT	0.148	0.209	0.167	1.000
ALP	0.066	0.129	0.004	0.345	1.000
AST	0.003	− 0.021	0.025	0.275	0.205	1.000
ALT	0.025	− 0.049	0.081	0.207	0.164	0.663	1.000
FT4	0.104	− 0.003	0.080	0.252	0.069	0.189	0.304	1.000
FT3	0.075	0.038	0.119	0.274	0.060	0.273	0.344	0.816	1.000
T4	0.059	− 0.024	0.066	0.265	0.089	0.255	0.399	0.847	0.831	1.000
T3	0.003	0.025	0.174	0.163	0.028	0.049	0.122	0.667	0.632	0.644	1.000
TSH	0.092	0.047	0.154	0.005	0.001	0.029	0.170	0.375	0.441	− 0.494	0.240	1.000
Status	0.003	− 0.028	0.093	0.277	0.039	0.220	0.312	0.765	0.820	0.898	0.569	0.503	1