Construction of MLP model
A diagnostic model based on MLP classifier was developed by integrating 2D-SWE data with conventional US parameters as well as readily available clinical information, including demographics and liquid biopsy indicators (The established multilayer perceptron model consists of an input layer, a hidden layer, and an output layer.The relative importance of each predictor variable in the multilayer perceptron model. The longer the bar is represented by the variable, the greater the relative contribution of the variable to the model. SWE: shear wave elastography; eGFR: estimated glomerular filtration rate; UACR: urinary albumin creatinine ratio; RI: resistive index; BUN: blood urea nitrogen; BMI: body mass index.