• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Future Technologies Conference >A belief rule based expert system to assess clinical bronchopneumonia suspicion
【24h】

A belief rule based expert system to assess clinical bronchopneumonia suspicion

机译：基于信仰规则的专家系统，用于评估临床支气管内疑似

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

摘要

Bronchopneumonia is an acute or chronic inflammation of the lungs, in which the alveoli and/or interstitial are affected. Usually the diagnosis of Bronchopneumonia is carried out using signs and symptoms of this disease, which cannot be measured since they consist of various types of uncertainty. Consequently, traditional disease diagnosis, which is performed by a physician, cannot deliver accurate results. Therefore, this paper presents the design, development and application of an expert system for assessing the suspicion of Bronchopneumonia under uncertainty. The Belief Rule-Based Inference Methodology using the Evidential Reasoning (RIMER) approach was adopted to develop this expert system, which is named the Belief Rule-Based Expert System (BRBES). The system can handle various types of uncertainty in knowledge representation and inference procedures. The knowledge base of this system was constructed by using real patient data and expert opinion. Practical case studies were used to validate the system. The system-generated results are more effective and reliable in terms of accuracy than from the results generated by a manual system.
机译：支气管内愈伤症是肺部的急性或慢性炎症，其中肺泡和/或间质受到影响。通常使用这种疾病的迹象和症状进行支气管内瘤的诊断，这不能测量，因为它们由各种类型的不确定性组成。因此，由医生执行的传统疾病诊断不能提供准确的结果。因此，本文介绍了专家系统的设计，开发和应用，用于评估不确定度下的支气管内麻痹。采用了基于信仰规则的推理方法（Rimer）方法来开发该专家系统，该系统被命名为基于信仰规则的专家系统（BRBES）。系统可以在知识表示和推理程序中处理各种类型的不确定性。通过使用真实的患者数据和专家意见构建该系统的知识库。用实际的案例研究用于验证系统。在精度方面，系统产生的结果比手动系统产生的结果更有效可靠。

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