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一种用于客观解读血清肿瘤标志物水平的专家系统方法。

An expert system approach for the objective interpretation of serum tumour marker levels.

作者信息

Stajić S, Novaković R, Bosnjaković V

机构信息

Institute of Nuclear Medicine, University Clinical Center, Belgrade, Yugoslavia.

出版信息

Nucl Med Commun. 1994 Apr;15(4):298-304. doi: 10.1097/00006231-199404000-00163.

Abstract

The aim of our work was to study specific aspects of statistical Weinstein-Bayes's analysis in order to find the most suitable program for presenting our results and for obtaining information which could be used as a guide in the clinical decision-making process. Our efforts resulted in a computer processing system based on modified Weinstein-Bayes receiver operating characteristics (ROC) analysis. The data analysis provides numeric values of sensitivity, specificity, positive predictive value and negative predictive values as output tumour marker databases, which would serve as graphic input. It becomes possible to plot the ROC curve as a graphical distribution of tumour marker levels. The computer program also allows the estimation of the potential utility of the serum tumour marker measured in patients with various diseases, simultaneous determination of serum tumour markers in diseased patients, and the real value of each serum tumour marker level in diseased patients.

摘要

我们工作的目的是研究统计温斯坦 - 贝叶斯分析的特定方面,以便找到最适合展示我们研究结果的程序,并获取可在临床决策过程中用作指导的信息。我们的努力成果是一个基于改进的温斯坦 - 贝叶斯接收器操作特征(ROC)分析的计算机处理系统。数据分析提供敏感性、特异性、阳性预测值和阴性预测值的数值作为输出肿瘤标志物数据库,这些数据将作为图形输入。绘制ROC曲线作为肿瘤标志物水平的图形分布成为可能。该计算机程序还允许估计在患有各种疾病的患者中测量的血清肿瘤标志物的潜在效用,同时测定患病患者的血清肿瘤标志物,以及患病患者中每个血清肿瘤标志物水平的实际价值。

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