Methodology for establishing a 'gold standard' (for a medical expert system)

D. C. Georgakis, C. Georgakis
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Abstract

Presents a statistical method for establishing a consensus diagnosis among several experts, which is the common 'gold standard' used for evaluating the diagnostic performance of a medical expert system. This method involves the use of the extended kappa statistic developed by J.L. Fleiss (1971) and R.J. Light (1971) in the social sciences for the study of a similar problem. The method is carried out in two stages. First, the existence of an overall agreement or disagreement among the medical experts in their diagnoses of a sample of patients is established. Second, in the case of overall agreement, one selects the particular disorders that have a significant level of agreement among the experts, and uses the experts' diagnoses as the 'gold standard' for the sample of patients that were classified in those disorders.<>
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建立“金标准”的方法(用于医学专家系统)
提出了一种在几位专家之间建立共识诊断的统计方法,这是用于评估医学专家系统诊断性能的通用“金标准”。该方法涉及使用由J.L. Fleiss(1971)和R.J. Light(1971)在社会科学领域开发的扩展kappa统计来研究类似问题。该方法分两个阶段进行。首先,确定医学专家对患者样本的诊断是否存在总体上的一致或不一致。其次,在总体一致的情况下,选择专家之间具有显著一致水平的特定疾病,并使用专家的诊断作为分类在这些疾病中的患者样本的“金标准”
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