基于规则的专家系统和基于案例的推理在急性细菌性脑膜炎临床决策支持系统中的集成
Integration of Rule Based Expert Systems and Case Based Reasoning in an Acute Bacterial Meningitis Clinical Decision Support System
摘要：
本文介绍了一个应用于急性细菌性脑膜炎的医疗诊断系统的开发进行的研究结果，使用基于案例的推理方法。研究的重点是适应阶段的实现，从基于案例的推理和基于规则的专家系统的集成。在这个适应阶段，我们使用了一个更高级别的RBC，它存储并允许重新利用变化经验，并结合了一个经典的基于规则的推理引擎。为了考虑最明显的临床情况，使用规则引擎来实现预诊断阶段，该规则引擎在给定明显情况的情况下发出相应的诊断并且避免完整的过程。
英文摘要：
This article presents the results of the research carried out on the development of a medical diagnostic system applied to the Acute Bacterial Meningitis, using the Case Based Reasoning methodology. The research was focused on the implementation of the adaptation stage, from the integration of Case Based Reasoning and Rule Based Expert Systems. In this adaptation stage we use a higher level RBC that stores and allows reutilizing change experiences, combined with a classic rule-based inference engine. In order to take into account the most evident clinical situation, a pre-diagnosis stage is implemented using a rule engine that, given an evident situation, emits the corresponding diagnosis and avoids the complete process.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
