Bradburn C, Zeleznikow J, Adams A
Department of Mathematics and Computing, Phillip Institute of Technology, Bundoora, Victoria, Australia.
Comput Nurs. 1993 Jan-Feb;11(1):20-4.
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.
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。
