• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

GUUS:重症监护病房中的一个专家系统。

GUUS an expert system in the intensive care unit.

作者信息

van den Heuvel J, Stemerdink J D, Bogers A J, Bree D S

机构信息

Department of Thoracic Surgery, University Hospital Leiden, The Netherlands.

出版信息

Int J Clin Monit Comput. 1990 Jul;7(3):171-5. doi: 10.1007/BF02915582.

DOI:10.1007/BF02915582
PMID:2250127
Abstract

In cooperation with the Rotterdam School of Management of the Erasmus University in Rotterdam, an expert system GUUS was developed in the intensive care unit of the Department of Thoracic Surgery of the Leiden University Hospital. This expert system is able to diagnose postoperative haemodynamic problems in patients after coronary artery surgery and can give suggestions for therapy. GUUS has been developed by using the expert system shell Acquaint. The knowledge base was initially based on existing protocols and interviews with the medical head of the intensive care unit. The first prototype was tested and modified by using actual patient cases collected via special questionnaires. Subsequently the performance of GUUS was tested in a single blind comparison with three human experts. The results of this test were encouraging and initiated further development and implementation of the system.

摘要

莱顿大学医院胸外科重症监护室与鹿特丹伊拉斯姆斯大学鹿特丹管理学院合作,开发了一个名为GUUS的专家系统。该专家系统能够诊断冠状动脉搭桥术后患者的术后血流动力学问题,并能给出治疗建议。GUUS是使用专家系统外壳Acquaint开发的。知识库最初基于现有的协议以及对重症监护室医疗主任的访谈。第一个原型通过使用通过特殊问卷收集的实际患者病例进行了测试和修改。随后,在与三位人类专家的单盲比较中对GUUS的性能进行了测试。该测试结果令人鼓舞,并启动了该系统的进一步开发和实施。

相似文献

1
GUUS an expert system in the intensive care unit.GUUS:重症监护病房中的一个专家系统。
Int J Clin Monit Comput. 1990 Jul;7(3):171-5. doi: 10.1007/BF02915582.
2
Computerized detection of nosocomial infections in newborns.新生儿医院感染的计算机化检测
Proc Annu Symp Comput Appl Med Care. 1994:684-8.
3
Problems of knowledge acquisition automation in medical expert systems.
Medinfo. 1995;8 Pt 1:857-60.
4
Artificial intelligence applications in the intensive care unit.人工智能在重症监护病房的应用。
Crit Care Med. 2001 Feb;29(2):427-35. doi: 10.1097/00003246-200102000-00038.
5
Computer assisted diagnosis and treatment planning of brachial plexus injuries.臂丛神经损伤的计算机辅助诊断与治疗规划
Clin Neurol Neurosurg. 1993;95 Suppl:S50-5. doi: 10.1016/0303-8467(93)90036-g.
6
Graphical knowledge acquisition for medical diagnostic expert systems.医学诊断专家系统的图形化知识获取
Artif Intell Med. 1993 Jun;5(3):185-211. doi: 10.1016/0933-3657(93)90024-w.
7
Evaluation of a medical diagnosis system using simulator test scenarios.
Artif Intell Med. 1997 Oct;11(2):119-40. doi: 10.1016/s0933-3657(97)00027-4.
8
Using a general theory of time and change in patient monitoring: experiment and evaluation.
Comput Biol Med. 1997 Sep;27(5):435-52. doi: 10.1016/s0010-4825(97)00014-0.
9
A probabilistic approach to improved antibiotic therapy.
Stud Health Technol Inform. 1999;68:690-5.
10
["INTENSIV"--organization and structure of a knowledge-based PC system for the intensive care unit].
Klin Wochenschr. 1991;69 Suppl 26:234-40.

引用本文的文献

1
Artificial intelligence in medicine and male infertility.医学与男性不育症中的人工智能
World J Urol. 1993;11(2):129-36. doi: 10.1007/BF00182040.