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用于确定上肢损伤评级的基于规则的人工智能专家系统。

Rule based artificial intelligence expert system for determination of upper extremity impairment rating.

作者信息

Lim I, Walkup R K, Vannier M W

机构信息

Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110.

出版信息

Comput Methods Programs Biomed. 1993 Apr;39(3-4):203-11. doi: 10.1016/0169-2607(93)90022-d.

Abstract

Quantitative evaluation of upper extremity impairment, a percentage rating most often determined using a rule based procedure, has been implemented on a personal computer using an artificial intelligence, rule-based expert system (AI system). In this study, the rules given in Chapter 3 of the AMA Guides to the Evaluation of Permanent Impairment (Third Edition) were used to develop such an AI system for the Apple Macintosh. The program applies the rules from the Guides in a consistent and systematic fashion. It is faster and less error-prone than the manual method, and the results have a higher degree of precision, since intermediate values are not truncated.

摘要

上肢损伤的定量评估通常采用基于规则的程序来确定百分比评级,现已在个人计算机上通过使用人工智能、基于规则的专家系统(人工智能系统)得以实现。在本研究中,采用了《美国医学协会永久性损伤评估指南》(第三版)第3章给出的规则,为苹果麦金塔电脑开发了这样一个人工智能系统。该程序以一致且系统的方式应用指南中的规则。它比手工方法更快且出错几率更小,并且结果具有更高的精确度,因为中间值不会被截断。

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