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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >An incremental knowledge acquisition-based system for supporting decisions in biomedical domains.
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An incremental knowledge acquisition-based system for supporting decisions in biomedical domains.

机译：基于增量知识获取的系统，用于支持生物医学领域的决策。

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摘要

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.
机译：在重症监护室，医生必须管理患者的几种警报情况。当医生分析患者的状态时，他必须决定是否存在警报情况，并决定要执行的操作。理想的是在这些情况发生之前将其检测出来，因为解决方案可能更容易并且医生有更多的时间做出反应。一个智能系统可以分析信息，提取结论，格式化和排序导致严重状况的原因。这将对医生有所帮助，并使决策过程更容易。这里介绍了一种能够执行这种操作的系统。这不是诊断应用程序，而是检测警报情况以确保患者安全的工具。已经开发出能够对患者状况进行回顾性评估的原型。该系统基于MCRDR技术，该技术已扩展为满足该领域的要求。本文还对系统进行了评估。

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