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佛罗伦萨:护理计划系统中基于案例推理与基于模型推理的综合

FLORENCE: synthesis of case-based and model-based reasoning in a nursing care planning system.

作者信息

Bradburn C, Zeleznikow J, Adams A

机构信息

Department of Mathematics and Computing, Phillip Institute of Technology, Bundoora, Victoria, Australia.

出版信息

Comput Nurs. 1993 Jan-Feb;11(1):20-4.

PMID:8428316
Abstract

In this article, the data structures and reasoning methodologies of FLORENCE, an expert system that advises on the identification of nursing diagnoses in a new client, are described. FLORENCE is primarily a case-based reasoning system, but has an ancillary model-based reasoning system to advise on complex problems. The use of multiple reasoning methods allows for better simulation of the reasoning process of the expert clinician.

摘要

本文描述了FLORENCE的数据结构和推理方法,FLORENCE是一个为新客户的护理诊断识别提供建议的专家系统。FLORENCE主要是一个基于案例的推理系统,但有一个辅助的基于模型的推理系统来处理复杂问题。多种推理方法的使用能够更好地模拟专家临床医生的推理过程。

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