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加强疾病的实验室检测。第3部分:检测汉坦病毒病事件:一个案例研究。

Enhancing laboratory detection of disease. Part 3: Detecting a hantavirus disease event: a case study.

作者信息

Rypka E W, Madar D A

机构信息

Department of Biology, University of New Mexico, Albuquerque 87198, USA.

出版信息

Am Clin Lab. 1997 May;16(4):6-7.

Abstract

A purposive syndromic classification diagnostic system, with known means to ends, has been developed that extracts bits of structural information from endogenous laboratory data. An edifice of structural information for organization, regulation, and decision-making was built for determining future pathophysiological events by asking the fewest questions to define the next event uniquely. The structural information is based on laboratory ordering patterns of physicians for patient populations they serve. Patient history and a physical examination may be included as hardware and software evolves for linking more aspects of the medical record.

摘要

已经开发出一种具有已知目的手段的针对性症状分类诊断系统,该系统可从内源性实验室数据中提取结构信息片段。通过提出最少的问题以唯一地定义下一个事件,构建了一个用于组织、调节和决策的结构信息体系,以确定未来的病理生理事件。该结构信息基于医生为其所服务的患者群体的实验室检查单模式。随着硬件和软件的发展,为了关联病历的更多方面,患者病史和体格检查可能会被纳入其中。

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