...度)均与胃癌腹膜转移状况密切相关(P=0.000),MDCT判断为T_(0～2)N_xM_0或T_xN_0M_0期的胃癌病例均无腹膜转移;受试者工作特征(ROC)分析进一步显示,肿瘤大小和肿瘤厚度对预测胃癌腹膜转移状况具有较高的临床应用价值(ROC曲线下面积分别为0.83和0.75):多因素分析显...
基于250个网页-相关网页
...学问题;第2章定义了几个常用的诊断准确度指标,如灵敏度、特异度、预测价值、接受者工作特征(receiver operating characteristic,ROC)曲线及其有关指标;第3章描述了避免常见诊断准确度偏倚的临床研究设计。
基于40个网页-相关网页
...sc1.4软件进行异质性检验,综合敏感性、特异性和诊断优势比,绘制汇总受试者工作特征(summary receiver operating characteristic, SROC)曲线和计算曲线下面积(the area under the curve,AUC),并进行敏感性分析.
基于2个网页-相关网页
受试者工作特征曲线 ROC ; receiver operating characteristic curve ; summary receiver operating characteristic ; receiver operating curve
受试者工作特征 ROC ; RECEIVER OPERATING CHARACTERISTIC
汇总受试者工作特征 SROC
接受者工作特征 receiver operating characteristic ; ROC
综合受试者工作特征 SROC ; summary receiver operating characteristics
者工作特征曲线 Receiver Operating Characteristic Curve ; ROC ; ROC CURVE
接受者工作特征曲线 receiver operating characteristic ; receiver operating characteristics curve
用受试者工作特征曲线 receiver operating characteristic ; Receiver operation characteristic curve
接收者工作特征 receiver operating characteristic
研究形式包括FPG和A1C，二者用受试者工作特征（ AUROC ）曲线下面积来进行比较。
The models including FPG, A1C, and both were compared using the area under the receiver operating characteristic (AUROC) curves.
研究者称用这项方法预测头发颜色的准确率达到90%，可以帮助司法调查工作者确定未知嫌疑人的体貌特征。
They say their method can predict hair color with up to 90 percent accuracy, helping forensic investigators identify an unknown person's characteristics.
去年特征检测技术的问题日渐突出，网络攻击者越来越多的使用代码伪装技术制造出大量的病毒变种，更加重了防病毒分析工作。
The flip side of the problem became evident last year, as online attackers increasingly used obfuscation techniques to produce massive number of variants, taxing antivirus analysts.
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