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目的探讨利用多重逻辑回归模型、人工神经网络(ANN)和支持向量机(SVM)模型预测前列腺活检结果并比较各模型的准确率。方法1077例病人行经直肠超声(TRUS)导向下前
Objective To investigate the predictive value of prostate biopsy using multiple logistic regression model, artificial neural network (ANN) and support vector machine (SVM) models and to compare the accuracy of the models. Methods A total of 1077 patients underwent transrectal ultrasound (TRUS) guidance