Wiener F
Faculty of Medicine, Israel Institute of Technology, Haifa.
Comput Methods Programs Biomed. 1988 Jan-Feb;26(1):19-31. doi: 10.1016/0169-2607(88)90071-5.
SMR is an expert system shell designed to put the tools for knowledge acquisition directly into the hands of the domain expert. Since the knowledge base is represented as free text within a simplified syntactic structure, it is intelligible to anyone familiar with medical terminology. The knowledge base includes the rules for inference making as well as data groupings and protocols to facilitate case recording. In this paper, SMR is presented from the expert's point of view, describing the rule syntax and procedures for formulating the required diagnostic or therapeutic knowledge in the chosen domain. Similarly, the end-user's application of the system to patient data and the provisions for exploring and explaining the system's conclusions and reasoning processes are detailed. Avoiding tedious and often inane dialog, the user enters all that is known about the patient and receives a report of the system's conclusions and recommendations followed by a list of observations to be made in patient follow-up. An expert system for evaluating the diabetic patient is used to illustrate system operations.
SMR是一个专家系统外壳，旨在将知识获取工具直接交到领域专家手中。由于知识库以简化语法结构中的自由文本形式呈现，熟悉医学术语的任何人都能理解。知识库包括推理规则以及便于病例记录的数据分组和协议。本文从专家的角度介绍了SMR，描述了规则语法以及在所选领域中制定所需诊断或治疗知识的程序。同样，详细介绍了终端用户将系统应用于患者数据的情况以及探索和解释系统结论及推理过程的规定。用户无需进行冗长且往往毫无意义的对话，只需输入所有已知的患者信息，即可收到系统结论和建议的报告，随后是患者随访中要进行的观察列表。文中使用一个评估糖尿病患者的专家系统来说明系统操作。
