• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on practical applications of agents and multi-agent systems >A Holonic Multi-agent Based Diagnostic Decision Support System for Computer-Aided History and Physical Examination
【24h】

A Holonic Multi-agent Based Diagnostic Decision Support System for Computer-Aided History and Physical Examination

机译：基于Holonic Multi-agent的计算机辅助历史和体格检查诊断决策支持系统

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Available Medical Diagnosis systems (MDSs), including the state of the art, mainly focus on finding the perfect link between the patient's medical history and their health knowledge. However, no matter how powerful they are in performing this action, it is always possible that the final strong deduction is based on some incomplete input. Prior to this process, a physician should literally perform the Differential Diagnosis (DDx), in which (S)he carefully listens to the symptoms explained by the patient, considers some potential diagnoses and then tries to gather enough evidence and supporting information to shrink the probability of the other candidates. In a patient encounter, this method is used in a process called the History and Physical examination (H&P). Only physicians and in some institutions, in order to compensate the shortage of the physicians, some specially trained nurses are qualified to perform this process. A system capable of guiding a focus H&P, however, will allow less experienced nurses to perform this process, and furthermore, can provide second opinions in critical cases. The DDx domain is in fact a holonic domain; hence, a MDS with holonic architecture could be able to perform this process. As the Holonic Medical Diagnosis System (HMDS), tends to cover the stages in the H&P, this system could also be added to available MDSs in order to provide them with the essential comprehensive input and allow their integration in the clinical workflow. This paper will demonstrate the performance of this system and concentrates on its learning process.
机译：可用的医学诊断系统（MDS），包括最新技术，主要集中在寻找患者病史和他们的健康知识之间的完美联系。但是，无论他们在执行此操作中有多强大，最终的强推演总是有可能基于某些不完整的输入。在此过程之前，医生应从字面上进行鉴别诊断（DDx），在该过程中，他会仔细听取患者解释的症状，考虑一些可能的诊断，然后尝试收集足够的证据和支持信息以缩小诊断范围。其他候选人的可能性。在患者遇到的情况下，此方法用于称为“病史和体格检查（H＆P）”的过程中。只有医师，并且在某些机构中，为了弥补医师的不足，一些经过特殊培训的护士才有资格执行此过程。但是，能够指导重点H＆P的系统将允许经验不足的护士执行此过程，此外，还可以在紧急情况下提供第二意见。 DDx域实际上是一个完整域;因此，具有完整架构的MDS可以执行此过程。由于Holonic Medical诊断系统（HMDS）往往涵盖了H＆P的各个阶段，因此该系统也可以添加到可用的MDS中，以便为它们提供必要的全面输入并允许其集成到临床工作流程中。本文将演示该系统的性能，并着重于其学习过程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号