Nelson C W
College of Business Administration, Northeastern University, Boston, Massachusetts 02115.
J Med Syst. 1988 Feb;12(1):1-10. doi: 10.1007/BF01002372.
This paper outlines a modular, microcomputer and videodisc expert system, for patients with mechanical low back pain. The system incorporate facts, rules, and methods to extract data, opinions, information, and user preferences. It supports individual patient needs with a broad knowledge base, and analytical modelling techniques that connect flexible inference structures and user choices. Videodisc based expert systems help break the bottleneck in relevant medical knowledge representation. The expert system program serves the user in the capacity of teacher, confidant, interpreter, diagnostician, and adviser.
本文概述了一个针对机械性下背痛患者的模块化、微机和视盘专家系统。该系统整合了事实、规则以及用于提取数据、观点、信息和用户偏好的方法。它通过广泛的知识库以及连接灵活推理结构和用户选择的分析建模技术来满足个体患者的需求。基于视盘的专家系统有助于打破相关医学知识表示方面的瓶颈。该专家系统程序以教师、知己、翻译、诊断师和顾问的身份为用户服务。
