Döring D
Inneren Abteilung des Kreiskrankenhauses, Leisnig.
Z Gesamte Inn Med. 1989 May 1;44(9):264-7.
The Bayes-formula gives the possibility in ambiguous situations for diagnostic decisions to use the sensitiveness of findings for estimating the diagnostic probabilities. In such a case in differential-diagnostic questionings can be proceeded from the equal probability of the diagnoses so that the probabilities obtained by means of computation are alone based on the sensitiveness of findings and not on subjective estimations. Combinations of findings (patterns of findings) of any kind taken from positive and negative findings can be analysed. The advantage consists above all in the fact that the sensitiveness of findings may be evaluated controllable, reproducible and independent of the subjective experience. In addition to this there is a theoretical advantage that the process of the diagnostic decision becomes better understandable. Nevertheless it is to be emphasized that diagnostic decisions finally are based on subject-specific interpretations of the findings and formal criteria deliver only additional aids of decision.
贝叶斯公式在诊断决策的模糊情况下,给出了利用检查结果的敏感性来估计诊断概率的可能性。在这种情况下,对于鉴别诊断的询问,可以从诊断的等概率出发,这样通过计算得到的概率仅基于检查结果的敏感性,而不是主观估计。可以分析从阳性和阴性结果中获取的任何类型的检查结果组合(检查结果模式)。其优势首先在于,检查结果的敏感性可以得到可控、可重复且独立于主观经验的评估。除此之外,还有一个理论优势,即诊断决策过程变得更容易理解。然而,需要强调的是,诊断决策最终基于对检查结果的特定主体解释,而形式标准仅提供额外的决策辅助。