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©The Author(s) 2025.
World J Gastroenterol. Jul 21, 2025; 31(27): 108200
Published online Jul 21, 2025. doi: 10.3748/wjg.v31.i27.108200
Published online Jul 21, 2025. doi: 10.3748/wjg.v31.i27.108200
Table 1 The 81 correlated factors associated with metabolic-associated fatty liver disease
Spearman rank correlation | |||||
Indicators | r value | n | P value | Correlation coefficient | Correlation ranking |
ALT | 0.506 | 979 | 0.000 | 0.506 | 1 |
AST/ALT | -0.495 | 831 | 0.000 | 0.495 | 2 |
γ-GT | 0.366 | 828 | 0.000 | 0.366 | 3 |
TG | 0.358 | 917 | 0.000 | 0.358 | 4 |
BMI | 0.353 | 867 | 0.000 | 0.353 | 5 |
AST | 0.346 | 832 | 0.000 | 0.346 | 6 |
WC | 0.331 | 774 | 0.000 | 0.331 | 7 |
Weight | 0.303 | 778 | 0.000 | 0.303 | 8 |
UA/Cr ratio | 0.288 | 972 | 0.000 | 0.288 | 9 |
Cr/weight ratio | -0.255 | 770 | 0.000 | 0.255 | 10 |
Waist-to-hip ratio | 0.254 | 773 | 0.000 | 0.254 | 11 |
HDL-C | -0.25 | 907 | 0.000 | 0.25 | 12 |
HbA1c | 0.246 | 495 | 0.000 | 0.246 | 13 |
Average heart rate | 0.233 | 860 | 0.000 | 0.233 | 14 |
Hip circumference | 0.225 | 774 | 0.000 | 0.225 | 15 |
UA | 0.22 | 972 | 0.000 | 0.22 | 16 |
Kidney meridian | 0.208 | 860 | 0.000 | 0.208 | 17 |
FPSA | -0.194 | 444 | 0.000 | 0.194 | 18 |
WBC | 0.191 | 978 | 0.000 | 0.191 | 19 |
CRP | 0.187 | 261 | 0.002 | 0.187 | 20 |
Absolute value of lymphocytes | 0.186 | 981 | 0.000 | 0.186 | 21 |
Exercise type | -0.185 | 711 | 0.000 | 0.185 | 22 |
Intraocular pressure of the left eye | 0.185 | 446 | 0.000 | 0.185 | 23 |
Glucose | 0.183 | 911 | 0.000 | 0.183 | 24 |
Liver meridian | 0.178 | 860 | 0.000 | 0.178 | 25 |
Hemoglobin | 0.177 | 981 | 0.000 | 0.177 | 26 |
Gallbladder meridian | -0.177 | 860 | 0.000 | 0.177 | 27 |
RBC | 0.173 | 980 | 0.000 | 0.173 | 28 |
Duration of each exercise session | -0.172 | 700 | 0.000 | 0.172 | 29 |
Number of exercise sessions per week | -0.171 | 701 | 0.000 | 0.171 | 30 |
Pericardium meridian | -0.17 | 860 | 0.000 | 0.17 | 31 |
Redness at the sides and tips | -0.169 | 924 | 0.000 | 0.169 | 32 |
Spleen meridian | -0.157 | 860 | 0.000 | 0.157 | 33 |
PA | 0.152 | 683 | 0.000 | 0.152 | 34 |
Absolute value of eosinophils | 0.15 | 981 | 0.000 | 0.15 | 35 |
T3 triiodothyronine | 0.15 | 764 | 0.000 | 0.15 | 36 |
HCT | 0.148 | 979 | 0.000 | 0.148 | 37 |
GLO | 0.143 | 769 | 0.000 | 0.143 | 38 |
Neu/ALB ratio | 0.142 | 929 | 0.000 | 0.142 | 39 |
Coating at left side of tongue lab-a1 | -0.139 | 924 | 0.000 | 0.139 | 40 |
Absolute value of neutrophils | 0.135 | 981 | 0.000 | 0.135 | 41 |
Left side of tongue lab-a | -0.131 | 924 | 0.000 | 0.131 | 42 |
Absolute value of monocytes | 0.13 | 981 | 0.000 | 0.13 | 43 |
Coating at root of tongue lab-a | -0.129 | 924 | 0.000 | 0.129 | 44 |
Coating at full tongue lab-a | -0.129 | 924 | 0.000 | 0.129 | 45 |
Systolic blood pressure | 0.126 | 786 | 0.000 | 0.126 | 46 |
Root of tongue lab-a | -0.124 | 924 | 0.000 | 0.124 | 47 |
PCT | 0.123 | 889 | 0.000 | 0.123 | 48 |
Middle of tongue lab-L | 0.123 | 924 | 0.000 | 0.123 | 49 |
Left side of tongue lab-L | 0.122 | 924 | 0.000 | 0.122 | 50 |
Coating at left side of tongue lab-L | 0.12 | 924 | 0.000 | 0.12 | 51 |
PLT | 0.119 | 981 | 0.000 | 0.119 | 52 |
Coating at tip of tongue lab-a | -0.119 | 924 | 0.000 | 0.119 | 53 |
Coating at full tongue lab-l | 0.119 | 924 | 0.000 | 0.119 | 54 |
TP | 0.118 | 929 | 0.000 | 0.118 | 55 |
Coating at right side of tongue lab-a | -0.116 | 924 | 0.000 | 0.116 | 56 |
Right side of tongue lab-a | -0.115 | 924 | 0.000 | 0.115 | 57 |
Tip of tongue lab-l | 0.115 | 924 | 0.000 | 0.115 | 58 |
Coating at tip of tongue lab-l | -0.114 | 924 | 0.000 | 0.114 | 59 |
Coating at middle of tongue lab-l | 0.114 | 924 | 0.001 | 0.114 | 60 |
Coating at middle of tongue lab-l | 0.113 | 924 | 0.001 | 0.113 | 61 |
Right side of tongue lab-l | 0.109 | 924 | 0.001 | 0.109 | 62 |
RDW-SD | -0.107 | 889 | 0.001 | 0.107 | 63 |
Coating at middle of tongue lab-a | -0.106 | 924 | 0.001 | 0.106 | 64 |
Diastolic blood pressure | 0.104 | 786 | 0.003 | 0.104 | 65 |
Middle of tongue lab-a | -0.103 | 924 | 0.002 | 0.103 | 66 |
Left side of tongue lab-b | -0.103 | 924 | 0.002 | 0.103 | 67 |
Coating at right side of tongue lab-l | 0.103 | 924 | 0.002 | 0.103 | 68 |
Coating at tip of tongue lab-b | -0.102 | 924 | 0.002 | 0.102 | 69 |
Absolute value of basophils | 0.101 | 981 | 0.002 | 0.101 | 70 |
MCHC | 0.1 | 889 | 0.003 | 0.1 | 71 |
Tip of tongue lab-b | -0.1 | 924 | 0.002 | 0.1 | 72 |
Root of tongue lab-b | -0.099 | 924 | 0.003 | 0.099 | 73 |
Coating at root of tongue lab-l | 0.099 | 924 | 0.003 | 0.099 | 74 |
ALP | 0.098 | 798 | 0.006 | 0.098 | 75 |
Root of tongue lab-l | 0.097 | 924 | 0.003 | 0.097 | 76 |
Right side of tongue lab-b | -0.096 | 924 | 0.004 | 0.096 | 77 |
Coating at left side of tongue lab-b | -0.096 | 924 | 0.004 | 0.096 | 78 |
Coating at full tongue lab-b | -0.096 | 924 | 0.003 | 0.096 | 79 |
Coating at right side of tongue lab-b | -0.094 | 924 | 0.004 | 0.094 | 80 |
MCV | -0.09 | 889 | 0.007 | 0.09 | 81 |
Table 2 High linear correlation in 16 indicators: Absence of multicollinearity
Collinearity diagnostics | ||||||
Indicators | Sig. | Tolerance | VIF | n | Correlation coefficient | Correlation ranking |
WC | 0.790 | 0.558 | 1.792 | 774 | 0.331 | 7 |
Duration of each exercise session | 0.724 | 0.824 | 1.213 | 700 | -0.172 | 29 |
Absolute value of lymphocytes | 0.647 | 0.785 | 1.274 | 981 | 0.186 | 21 |
RBC | 0.199 | 0.702 | 1.425 | 980 | 0.173 | 28 |
MCHC | 0.114 | 0.831 | 1.203 | 889 | 0.1 | 71 |
PCT | 0.476 | 0.750 | 1.334 | 889 | 0.123 | 48 |
ALT | 0.265 | 0.554 | 1.806 | 979 | 0.506 | 1 |
AST/ALT | 0.004 | 0.532 | 1.878 | 831 | -0.495 | 2 |
GLO | 0.360 | 0.880 | 1.137 | 769 | 0.143 | 38 |
TG | 0.182 | 0.874 | 1.144 | 917 | 0.358 | 4 |
Cr/weight ratio | 0.052 | 0.606 | 1.649 | 770 | -0.255 | 10 |
HbA1c | 0.008 | 0.758 | 1.319 | 495 | 0.246 | 13 |
FPSA | 0.187 | 0.845 | 1.183 | 444 | -0.194 | 18 |
Coating at left side of tongue la | 0.694 | 0.866 | 1.154 | 924 | -0.139 | 40 |
Average heart rate | 0.415 | 0.809 | 1.235 | 860 | 0.233 | 14 |
Liver meridian | 0.774 | 0.806 | 1.240 | 860 | 0.178 | 25 |
Table 3 Performance comparison of each model
Models | Accuracy | Precision | Recall | F1-score |
Random forest | 0.83 (0.7663-0.8804) | 0.82 (0.7518-0.8803) | 0.83 (0.7717-0.8804) | 0.81 (0.7439-0.8692) |
XGBoost | 0.84 (0.7989-0.9076) | 0.82 (0.7987-0.9119) | 0.82 (0.7820-0.8533) | 0.84 (0.7741-0.8450) |
Logistic regression | 0.78 (0.7174-0.8370) | 0.78 (0.7233-0.8379) | 0.78 (0.7120-0.8370) | 0.78 (0.7143-0.8340) |
Support vector machine | 0.78 (0.7227-0.8424) | 0.77 (0.7042-0.8372) | 0.78 (0.7174-0.8424) | 0.78 (0.7100-0.8352) |
- Citation: Tian Y, Zhou HY, Liu ML, Ruan Y, Yan ZX, Hu XH, Du J. Machine learning-based identification of biochemical markers to predict hepatic steatosis in patients at high metabolic risk. World J Gastroenterol 2025; 31(27): 108200
- URL: https://www.wjgnet.com/1007-9327/full/v31/i27/108200.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i27.108200