Rypka E W, Madar D A
Dept. of Biology, University of New Mexico Health Sciences Center, Albuquerque 87131, USA.
Am Clin Lab. 1996 Nov-Dec;15(10):16-7.
Syndromic classifications differ from other taxonomies because they build on an ideal theoretical information standard to amplify information. This ideal standard, a truth table with requisite variety, h, equal to or greater than the generated symbols or system it seeks to control, preserves all of the information about the disease state available in the database. Such a system, interestingly enough, theoretically has no beta errors (diagnostic misses) because all possible alternative disease hypotheses are created by the proper-sized truth table that controls the diagnostic system. Subsequent articles will examine the process in more detail.
综合征分类与其他分类法不同,因为它们建立在理想的理论信息标准之上以放大信息。这个理想标准是一个具有必要多样性h的真值表,h等于或大于它试图控制的生成符号或系统,它保留了数据库中所有关于疾病状态的信息。有趣的是,这样一个系统理论上没有β错误(诊断遗漏),因为所有可能的替代疾病假设都是由控制诊断系统的适当大小的真值表创建的。后续文章将更详细地研究这个过程。