Using ROC curve plotting obtained the best decisive threshold.
绘制接受者操作特征(ROC)曲线，得出最佳评价指标。
ROC curve was used to determine the cut-off value of pre-operative metastases prediction.
建立ROC曲线确定术前淋巴结转移预报的界定值。
The ROC curve provided a range of values for establishing a cutoff value for each significant variable.
ROC曲线哒建立提供了每个重要变量哒临界值哒值哒范围。
Conclus ion Entropy method is practicable in diagnostic test and it is a supplement for traditional ROC curve.
结论熵方法在临床诊断评价中的应用是可行的，是对传统ROC曲线评价方法的补充。
Results Score of optimal cut off point of cerebral vascular hemodynamic indexes was under 75 in ROC curve analyses.
结果经过绘制受试者工作特征（ROC）曲线，血液动力学检测预警卒中的最佳积分值截断点应为75分以下。
Draw ROC curve to determine the best positive CA19-9 reference values to improve its diagnostic value of hepatobiliary and pancreatic diseases.
绘制ROC曲线确定CA19 - 9的最佳阳性参考值以提高其对肝胆胰疾病的诊断价值。
Second, this method focuses on optimal smoothing of estimator for a single distribution and does not address optimal estimation of the ROC curve.
第二，他只关心单个分布函数的最优拟合，而不是直接对ROC曲线做最优估计。
Conclusion: ROC evaluation is very useful in clinical diagnosis. Through taken lesion as signal or noise, drawing ROC curve is convenient and accurate.
结论：ROC评价法在临床诊断中有很大的使用价值，利用病变作为信号或噪声，可以方便、准确的制作ROC曲线。
The theoretical analysis and simulation results show that this method works better than traditional "k rank" fusion rule, and the ROC curve approaches the optimum.
理论分析与仿真实验表明，该方法优于传统的“K秩”方法，ROC雷达工作曲线接近理论最优曲线。
To investigate the value of color Doppler ultrasound in differentiation of benign and malignant solid superficial soft-tissue tumors using receiver operation characteristic curve(ROC curve).
应用受试者工作特征曲线（ROC曲线）评价彩色超声判断实性浅表软组织肿物良恶性的价值。
Objective to evaluate the value of diagnostic negative MDCT cholangiopancreatography in patients with suspected obstructive biliary diseases by receiver operating characteristic (ROC) curve.
目的应用roc曲线法探讨MDCT阴性法胰胆管成像在临床疑诊胆道梗阻中的诊断价值。
Receiver operating characteristic (ROC) curve was used for analyzing results and selecting cut off values.
根据受试者工作特征曲线（ROC）分析结果并选定阳性参考值。
The discriminatory power of various prediction models for development of type 2 diabetes was tested with the area under the receiver-operating characteristic (ROC) curve.
以临床应用性能(ROC)曲线下的面积比较预测患2型糖尿病的各种模型的预测效能。
AIM: To analyze the sensitivity, specificity and receiver operating characteristic (ROC) curve of echocardiography for diagnosis of coronary artery disease.
目的：对超声心动图诊断冠心病的特异性、敏感性和ROC曲线进行分析，评价其诊断价值。
Receiver operating characteristic curve (ROC) was used to evaluate the cutoff value of S-CEA level as a predicting factor for the prognosis of CRC.
应用ROC曲线探讨CEA作为结直肠术后复发的预测指标的意义及最佳临界值的划分。
ROC (Receiver Operating Curve) is becoming a very popular, objective method to study the system performance.
ROC法是当今较为流行的研究系统性能的客观分析方法之一。
ROC (Receiver Operating Curve) is becoming a very popular, objective method to study the system performance.
ROC法是当今较为流行的研究系统性能的客观分析方法之一。
应用推荐