Rev Epidemiol Sante Publique. 1984;32(1):40-4.
Diagnostic and decision making performances of a Bayesian model have been compared with clinically performances in abdominal pain of acute onset. Diagnostic accuracy of computer (63.3 p. cent) was lower than diagnostic accuracy of clinicians (72.6 p. cent). A two-fold increase in the number of diagnoses similarly decreased both performances. When the computer came to use national data base (6 916 patients) instead of local data base (571 patients), diagnostic accuracy of low-prevalence diseases increased and diagnostic accuracy of high-prevalence diseases decreased. Decision making accuracy of computer and clinicians were identical.
已将贝叶斯模型的诊断和决策性能与急性腹痛的临床性能进行了比较。计算机的诊断准确率（63.3%）低于临床医生的诊断准确率（72.6%）。诊断数量增加两倍同样会降低这两种性能。当计算机使用全国数据库（6916例患者）而非本地数据库（571例患者）时，低患病率疾病的诊断准确率提高，高患病率疾病的诊断准确率降低。计算机和临床医生的决策准确率相同。
