Chard T
Department of Reproductive Physiology, St Bartholomew's Hospital Medical College, London, U.K.
Comput Methods Programs Biomed. 1989 May;29(1):15-9. doi: 10.1016/0169-2607(89)90085-0.
A computer simulation is described which generates 'cases' of vaginal discharge. This simulation was used to evaluate the potential effects of dependence between clinical features on the diagnostic performance of Bayes' theorem. The following observations were made: (1) dependence between some but not all pairs of features reduced the overall diagnostic efficiency (judged by the number of true positive diagnoses); (2) the overall reduction in efficiency was never substantial; (3) the largest effects on the diagnosis of individual conditions was observed with rarer diseases, and with combinations of features which were inherently unlikely to be dependent. It is concluded that the diagnostic efficiency of Bayes' theorem will not be greatly influenced by dependence if a reasonable amount of commonsense is applied to the selection of the knowledge base.
本文描述了一种计算机模拟,它能生成阴道分泌物的“病例”。该模拟用于评估临床特征之间的相关性对贝叶斯定理诊断性能的潜在影响。得出以下观察结果:(1)部分而非所有特征对之间的相关性降低了总体诊断效率(以真阳性诊断数量判断);(2)效率的总体降低幅度从未很大;(3)在罕见疾病以及本质上不太可能相关的特征组合中,观察到对个体病症诊断的影响最大。结论是,如果在选择知识库时运用一定的常识,贝叶斯定理的诊断效率不会受到相关性的很大影响。