Jeanty C
Med Inform (Lond). 1978 Dec;3(4):291-7. doi: 10.3109/14639237809014189.
The main difficulty with numerical laboratory data is the risk of ignoring significant results scattered in a multitude of normal results. The universal scale of measure attempts to provide an answer to this problem. It reduces every abnormal value of similar severity to the same number.
数值实验室数据的主要困难在于,存在忽略散布于众多正常结果中的显著结果的风险。通用度量尺度试图为这一问题提供答案。它将每个严重程度相似的异常值都简化为同一个数字。