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基于增量知识获取的生物医学领域决策支持系统。

An incremental knowledge acquisition-based system for supporting decisions in biomedical domains.

机构信息

Departamento de Informática y Sistemas, Universidad de Murcia, Facultad de Informatica, Campus de Espinardo, Murcia, Spain.

出版信息

Comput Methods Programs Biomed. 2010 May;98(2):161-71. doi: 10.1016/j.cmpb.2009.11.006. Epub 2009 Dec 8.

DOI:10.1016/j.cmpb.2009.11.006
PMID:20004039
Abstract

In Intensive Care Units doctors have to manage several alarm situations in patients. When a doctor analyzes the state of the patient, (s)he has to decide if there is an alarm situation and make decisions about what actions to perform. It is desirable to detect these situations before they occur, because the solution could be easier and the doctor has more time to react. An intelligent system could analyze the information, extract conclusions, format and order the causes leading to the severe condition. This would be helpful for a doctor, and would make the decision-making process easier. A system capable of performing such operations is presented here. This is not a diagnosis application but a tool to detect alarm situations for patient safety. A prototype capable of making retrospective evaluation of the condition of the patients has been developed. This system is based on the MCRDR technology, which has been extended to deal with the requirements of this domain. The evaluation of the system is also reported in this paper.

摘要

在重症监护病房,医生必须处理患者的多种报警情况。当医生分析患者的状态时,(他/她)必须判断是否存在报警情况,并决定采取何种措施。在情况发生之前检测到这些情况是理想的,因为解决方案可能更简单,医生有更多的时间做出反应。智能系统可以分析信息,提取结论,格式化和整理导致严重情况的原因。这对医生有帮助,并使决策过程更容易。这里介绍了一种能够执行此类操作的系统。这不是诊断应用程序,而是用于检测患者安全报警情况的工具。已经开发出了一个能够对患者病情进行回顾性评估的原型。该系统基于 MCRDR 技术,该技术已扩展到处理该领域的需求。本文还报告了对该系统的评估。

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