ROC curve

Methods The program algorithm was based on non-parametric and parametric ROC curve analysis theory.

方法①依据非参数法和参数法ROC分析理论建立算法。

We estimate unknown function and parameters use quasi-likelihood type methods and the local polynomial fitting, then we can estimate the ROC curve.

我们用伪似然估计和局部多项式拟合的方法估计这个未知的函数和各参数，从而估计出ROC曲线。

Lastly, we use the ROC curve to evaluate segmentation result.

最后通过ROC曲线对分割结果评价。

All data were analyzed by SPSS 10 0 and Receiver Operating Characteristic Curve ( ROC).

同时用SPSS100统计软件及接受器工作性能曲线（ROC）分析，评价肿瘤标志物的临床应用价值。

Application of parametric method and non-parametric method in estimation of area under ROC curve

ROC曲线下面积估计的参数法与非参数法的应用研究

Application and development of ROC curve approach for medical diagnostic tests

ROC曲线在医学诊断中的应用与进展

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.

A traffic anomaly detection algorithm based on steady model is proposed. Both weighted mean value and variance statistics method are used to build and update the steady model. Furthermore ROC curve method is used to assess performance.

提出了一种基于稳态模型的流异常检测算法，采用加权均值和方差计算相结合的统计学方法对网络流量稳态模型进行建模和更新，并使用ROC曲线进行异常检测模型的性能评估。

Sialic Acid as A Lung Cancer Marker by ROC Curve Analysis

唾液酸作为肺癌标志物的ROC分析

Conclusion: It was useful using ROC curve when assessing the performance and determining the OOP and doubtable value interval of a screening test.

结论：使用ROC曲线评价具有简单有效，并可用来确定诊断试验的敏感度及可疑值范围。

The cutoff point for diagnosing BOO with the function model and the curve was confirmed by ROC curve analysis.

采用ROC曲线分析的方法，确定我们的函数模型和相应曲线诊断BOO的界值。

To study relationship area under ROC curve with intercept and slope.

目的探索roc曲线 下面积与roc曲线 在ND轴上的截距、斜率的关系.

Objective: To study relationship area under ROC curve with intercept and slope.

目的探索ROC曲线下面积与ROC曲线在ND轴上的截距、斜率的关系。

Calculate the PA and PH number of cases of each group and the ARR value of diagnostic PA sensitivity, specificity and Youden index, then draw the ROC curve. Results: 1.

计算各个组段的PA和PH例数及ARR值诊断PA的敏感度、特异度和Youden指数，并绘制ROC曲线。

The application of ROC curve in neonatal congenital hypothyroidism screening

ROC曲线在新生儿先天性甲低筛查中的应用

Summary ROC Curve And its Application to Evaluation of Prenatal Screening of Down's Syndrome

SROC曲线方法及其在唐氏综合征筛查试验评价中的应用

Evaluation Study and Application of ROC Curve

ROC曲线的评价研究及应用

Research on Application of ROC Curve in Evaluating Performance of IDS

ROC曲线在入侵检测系统性能评估中的应用研究

The area under the ROC curve was ( 0.739±0.088 ) ( P < 0.05 ).

ROC曲线下的面积为(0.739±0.088 ) ( P<0.05 ).

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 area under the ROC curve was ( 0.739±0.088 ) ( P < 0.05 ).

ROC曲线下的面积为(0.739±0.088 ) ( P<0.05 ).