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AI/Consult: a prototype directed history system based upon the AI/Rheum knowledge base.

机译:AI /咨询:基于AI / Rheum知识库的定向历史记录系统原型。

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摘要

An expert system is designed which uses the AI/Rheum knowledge base as the basis for a directed workup system for rheumatological disorders. A Turbo Pascal prototype is demonstrated which, unlike AI/Rheum, permits entry by the clinician of a patient's chief complaint(s) and subsequently develops a dynamic differential diagnosis for this limited set of findings. The system restricts its line of questioning to those pertinent in order to rule in or rule out items on this dynamic differential diagnosis, and, unlike AI/Rheum, it provides immediate notification to the user when a critical mass of information has been entered in order to meet a diagnosis at one of the AI/Rheum criteria table's three levels of diagnosis (possible, probable, definite). Thus the system allows for a more rapid, focused decision making approach than does AI/Consult, while it follows the trend established by QMR in that it abandons the Greek Oracle problem solving approach and instead adopts a physician-assisted hypothesis investigation approach. The system is currently a prototype, without AI/Rheum's page oriented and mouse driven interface, and thus the total user interaction time may be longer than with AI/Rheum even though fewer user interactions (responses) are required. Plans for future development include optimization of the knowledge base to allow for more efficient, problem oriented questioning and modification of the knowledge base compiler in order to dynamically rule out diseases through the addition of three new levels of diagnosis in the knowledge base criteria tables.
机译:设计了一个专家系统,该系统使用AI / Rheum知识库作为风湿病定向检查系统的基础。演示了Turbo Pascal原型,该原型与AI / Rheum不同,它允许临床医生输入患者的主要主诉,随后针对这组有限的发现开发动态鉴别诊断。该系统将其查询范围限制在相关人员,以便在此动态差异诊断中排除或排除项目,并且与AI / Rheum不同,当已按顺序输入关键信息量时,系统会立即通知用户满足AI / Rheum标准表中三个诊断级别(可能,可能,确定)之一的诊断。因此,与AI / Consult相比,该系统提供了一种更快,更集中的决策方法,同时它遵循了QMR建立的趋势,即它放弃了希腊Oracle问题解决方法,而采用了医生辅助的假设调查方法。该系统目前是一个原型,没有AI / Rheum面向页面和鼠标驱动的界面,因此,即使需要较少的用户交互(响应),总的用户交互时间也可能比AI / Rheum更长。未来的开发计划包括优化知识库,以进行更有效,面向问题的提问,并对知识库编译器进行修改,以便通过在知识库标准表中添加三个新的诊断级别来动态排除疾病。

著录项

  • 期刊名称 AMIA Annual Symposium Proceedings
  • 作者

    R. S. Kaplan;

  • 作者单位
  • 年(卷),期 1991(639–643),-1
  • 年度 1991
  • 页码 639–643
  • 总页数 5
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 16:20:56

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