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An intelligent event-driven medical information system based on object-oriented programming and hypermedia technology.

机译:基于面向对象程序设计和超媒体技术的智能事件驱动医疗信息系统。

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摘要

With the assistance of object-oriented programming and hypermedia technology, this intelligent event-driven medical information system for stroke (IMIS-Stroke) displays integrated images and text to train medical students and house staff about the vascular anatomy of the brain and symptoms produced by stroke. These technologies enhance the system with referential links between text and pictures in an integrated learning environment. A friendly graphical user interface running in a window environment enables the system to provide an efficient and natural method to access information about stroke and its effects on the brain.;In this research project, we implemented a window-based desktop training tool by displaying medical images in an intelligent medical information system. Two intelligent database management tools offer a convenient method for domain experts to maintain the knowledge data by contextual indexing method. Object-oriented programming (OOP) technology saves design time and makes it efficient to maintain a large and complex system.;KnowledgePro is a reliable asset to the design and development of this project with its combination of hypermedia, expert system, and OOP. Various event-driven search routines in this project offer multiple ways to access the desired medical information. Contextual data indexing methods speed up retrieval from external databases and also enhances the performance of the system. Highlighting medical images with colors and text increases the readability of the system for the user.;The IMIS-Stroke system was designed as a tool for teaching the vascular anatomy of the brain. An evaluation of its performance by medical professionals showed IMIS-Stroke to be a reliable system with high educational value. This system offers a clear and deep understanding of the vascular anatomy of the brain and the causes and symptoms of stroke supported by colored medical images.
机译:借助面向对象的编程和超媒体技术,该智能事件驱动的中风医疗信息系统(IMIS-Stroke)显示集成的图像和文本,以训练医学生和房屋工作人员大脑的血管解剖结构以及由其产生的症状中风。这些技术通过在集成学习环境中的文本和图片之间的引用链接来增强系统。在窗口环境中运行的友好图形用户界面使系统能够提供一种有效且自然的方法来访问有关中风及其对大脑的影响的信息。;在此研究项目中,我们通过显示医学信息实现了基于窗口的桌面培训工具智能医疗信息系统中的图像。两种智能数据库管理工具为领域专家通过上下文索引方法维护知识数据提供了一种便捷的方法。面向对象编程(OOP)技术节省了设计时间,并使其能够高效地维护大型复杂的系统。KnowledgePro结合了超媒体,专家系统和OOP,是该项目设计和开发的可靠资产。该项目中各种事件驱动的搜索例程提供了多种访问所需医疗信息的方式。上下文数据索引方法可以加快从外部数据库的检索速度,还可以提高系统性能。用颜色和文本突出显示医学图像可为用户增加系统的可读性。IMIS-Stroke系统被设计为用于教示大脑血管解剖的工具。医务人员对其性能进行的评估表明,MISS-Stroke是一种具有高教育价值的可靠系统。该系统对彩色血管图像支持的大脑血管解剖结构以及中风的原因和症状有清晰而深刻的理解。

著录项

  • 作者

    Jao, Chiang Seng (Johnson).;

  • 作者单位

    Illinois Institute of Technology.;

  • 授予单位 Illinois Institute of Technology.;
  • 学科 Computer science.;Health Sciences Education.
  • 学位 Ph.D.
  • 年度 1992
  • 页码 157 p.
  • 总页数 157
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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