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应用于临床试验的专家系统示例:连续分级运动心电图测试数据分析。

An example of expert systems applied to clinical trials: analysis of serial graded exercise ECG test data.

作者信息

Long J M, Slagle J R, Leon A S, Wick M W, Matts J P, Karnegis J N, Bissett J K, Sawin H S, Stevenson J P

出版信息

Control Clin Trials. 1987 Jun;8(2):136-45. doi: 10.1016/0197-2456(87)90038-9.

Abstract

Clinical trials collect large amounts of data over time. The use of statistical methods to compare and interpret these serial data often fall short of complete evaluation because the analysis requires clinical judgment. As an alternative, some trials use individual experts or panels of experts to evaluate data, but this method usually requires the participation of clinicians who must spend large amounts of time performing tedious, repetitive tasks. The authors examined the use of expert systems to analyze serial clinical trial data where the analyses required use of clinical judgment. A prototype expert system was built to assess the data obtained from a pair of serial graded exercise ECG tests and reach a decision that would duplicate the decision reached by a cardiologist. The experiment was successful. Expert systems should be further developed and tested in other areas, such as serial coronary arteriography data.

摘要

随着时间的推移,临床试验会收集大量数据。运用统计方法来比较和解读这些系列数据往往无法进行全面评估,因为这种分析需要临床判断。作为一种替代方法,一些试验会利用个别专家或专家小组来评估数据,但这种方法通常需要临床医生参与,而他们必须花费大量时间去执行繁琐、重复的任务。作者们研究了如何使用专家系统来分析系列临床试验数据,这些分析需要运用临床判断。构建了一个原型专家系统,用于评估从一对系列分级运动心电图测试中获得的数据,并得出与心脏病专家相同的结论。该实验取得了成功。专家系统应在其他领域,如系列冠状动脉造影数据领域,进一步开发和测试。

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