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©The Author(s) 2025.
World J Gastroenterol. Mar 14, 2025; 31(10): 103716
Published online Mar 14, 2025. doi: 10.3748/wjg.v31.i10.103716
Published online Mar 14, 2025. doi: 10.3748/wjg.v31.i10.103716
Figure 1 Performance of artificial intelligence models for metabolic dysfunction-associated steatotic liver disease.
Training dataset: A: Area under the receiver operating characteristic curve; B: Precision-Recall curve; Validation dataset: C: Area under the receiver operating characteristic curve; D: Precision-Recall curve. FP: False positive; TP: True positive; XGBoost: eXtreme gradient boosting.
- Citation: Lu MY, Wei YJ, Wang CW, Liang PC, Yeh ML, Tsai YS, Tsai PC, Ko YM, Lin CC, Chen KY, Lin YH, Jang TY, Hsieh MY, Lin ZY, Huang CF, Huang JF, Dai CY, Chuang WL, Yu ML. Mitochondrial mt12361A>G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes. World J Gastroenterol 2025; 31(10): 103716
- URL: https://www.wjgnet.com/1007-9327/full/v31/i10/103716.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i10.103716