Aliferis C F, Cooper G F, Miller R A, Buchanan B G, Bankowitz R, Giuse N
Section of Medical Informatics, B50A Lothrop Hall, 190 Lothrop Street, University of Pittsburgh, Pittsburgh, PA, USA.
J Am Med Inform Assoc. 1996 Jan-Feb;3(1):79-91. doi: 10.1136/jamia.1996.96342651.
To understand better the trade-offs of not incorporating explicit time in Quick Medical Reference (QMR), a diagnostic system in the domain of general internal medicine, along the dimensions of expressive power and diagnostic accuracy.
The study was conducted in two phases. Phase I was a descriptive analysis of the temporal abstractions incorporated in QMR's terms. Phase II was a pseudo-prospective controlled experiment, measuring the effect of history and physical examination temporal content on the diagnostic accuracy of QMR.
For each QMR finding that would fit our operational definition of temporal finding, several parameters describing the temporal nature of the finding were assessed, the most important ones being: temporal primitives, time units, temporal uncertainty, processes, and patterns. The history, physical examination, and initial laboratory results of 105 consecutive patients admitted to the Pittsburgh University Presbyterian Hospital were analyzed for temporal content and factors that could potentially influence diagnostic accuracy (these included: rareness of primary diagnosis, case length, uncertainty, spatial/causal information, and multiple diseases).
776 findings were identified as temporal. The authors developed an ontology describing the terms utilized by QMR developers to express temporal knowledge. The authors classified the temporal abstractions found in QMR in 116 temporal types, 11 temporal templates, and a temporal hierarchy. The odds of QMR's making a correct diagnosis in high temporal complexity cases is 0.7 the odds when the temporal complexity is lower, but this result is not statistically significant (95% confidence interval = 0.27-1.83).
QMR contains extensive implicit time modeling. These results support the conclusion that the abstracted encoding of time in the medical knowledge of QMR does not induce a diagnostic performance penalty.
为了更深入地理解在普通内科领域的诊断系统快速医学参考(QMR)中不纳入显式时间在表达能力和诊断准确性方面的权衡。
本研究分两个阶段进行。第一阶段是对QMR术语中纳入的时间抽象进行描述性分析。第二阶段是一个准前瞻性对照实验,测量病史和体格检查的时间内容对QMR诊断准确性的影响。
对于每个符合我们时间发现操作定义的QMR发现,评估了几个描述该发现时间性质的参数,其中最重要的参数是:时间原语、时间单位、时间不确定性、过程和模式。对匹兹堡大学长老会医院连续收治的105例患者的病史、体格检查和初始实验室结果进行了时间内容以及可能影响诊断准确性的因素(这些因素包括:主要诊断的罕见性、病例时长、不确定性、空间/因果信息以及多种疾病)的分析。
识别出776个时间发现。作者开发了一种本体,描述了QMR开发者用于表达时间知识的术语。作者将在QMR中发现的时间抽象分类为116种时间类型、11种时间模板和一个时间层次结构。在高时间复杂性病例中QMR做出正确诊断的几率是时间复杂性较低时几率的0.7倍,但这一结果无统计学意义(95%置信区间 = 0.27 - 1.83)。
QMR包含广泛的隐式时间建模。这些结果支持以下结论:QMR医学知识中时间的抽象编码不会导致诊断性能的损失。