Economou G P, Lymberopoulos D, Karavatselou E, Chassomeris C
Department of Electrical Engineering, University of Patras, Greece.
IEEE Trans Inf Technol Biomed. 2001 Mar;5(1):55-66. doi: 10.1109/4233.908395.
The original concept that led to the structuring of a computer-based medical decision support system (DSS) that is able to support a physician's diagnosis is introduced in this paper. The concept's implementation modeled a generic DSS, the core of which are an integrated knowledge/information base (KIB) along with the inference properties of a data evaluator. The KIB encapsulates the necessary medical knowledge and experience in the form of rules and constraints, preemptive tasks, and actual patients' clinical data. The data evaluator handles approved medical subjective and objective criteria for assessing the KIB's data. The data evaluator incorporates a medical standard data gathering and decision process, structured upon the principles of the clinical differential diagnosis methodology and has been integrated in the system by means of both algorithmic and artificial intelligence techniques. The novel model and the resulted computer-based package have been extensively tested under the Pulmonary Department, University Regional Hospital Patras, Patras, Greece.
本文介绍了促使构建基于计算机的医学决策支持系统（DSS）的最初概念，该系统能够支持医生进行诊断。该概念的实现对一个通用的DSS进行了建模，其核心是一个集成的知识/信息库（KIB）以及数据评估器的推理属性。KIB以规则和约束、预先任务以及实际患者的临床数据的形式封装了必要的医学知识和经验。数据评估器处理用于评估KIB数据的经认可的医学主观和客观标准。数据评估器纳入了一个基于临床鉴别诊断方法原则构建的医学标准数据收集和决策过程，并已通过算法和人工智能技术集成到系统中。该新型模型以及由此产生的基于计算机的软件包已在希腊帕特雷大学地区医院帕特雷分院的肺病科进行了广泛测试。
