开发饮食推荐专家系统

Gergely Kovásznai
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引用次数: 29

摘要

对于需要在一定约束条件下进行菜单规划的单位来说,菜单构建是一项重要的任务。客户或患者对专业的菜单构建也有个人需求,他们应该按照计划饮食。对于菜单构建和饮食分析,有几种方法(例如,线性规划,遗传算法,基于规则的专家系统等)和商业IT系统。在本文中,我们提出了一种基于病例的饮食推荐方法。在此基础上,我们将构建一个应用于健康档案管理系统的专家系统。我们的方法是基于波动规则(RDR)的,但是,患者属性和规则操作还需要特殊的表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing an expert system for diet recommendation
Menu construction is an important task for institutions that need to plan menus within certain constraints. There is also a personal need for professional menu construction by clients or patients who should eat according to a planned diet. For menu construction and dietary analysis, there are several approaches (e.g., linear programming, genetic algorithms, rule-based expert systems, etc.) and commercial IT systems. In this paper, we propose a case-based approach for diet recommendation. Based on this approach, we are going to construct an expert system which is intended to be employed in a health record management system. Our approach is based on ripple down rules (RDR), however, a special representation is also needed for patient attributes and rule actions.
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