Clinical decision support systems combine knowledge and data from a variety of sources, represented by quantitative models based on stochastic methods, or qualitative based rather on expert heuristics and deductive reasoning. At the same time, case-based reasoning (CBR) memorizes and returns the experience of solving similar problems. The cooperation of heterogeneous clinical knowledge bases (knowledge objects, semantic distances, evaluation functions, logical rules, databases...) is based on medical ontologies. A multi-agent decision support system (MADSS) enables the integration and cooperation of agents specialized in different fields of knowledge (semiology, pharmacology, clinical cases, etc.). Each specialist agent operates a knowledge base defining the conduct to be maintained in conformity with the state of the art associated with an ontological basis that expresses the semantic relationships between the terms of the domain in question. Our approach is based on the specialization of agents adapted to the knowledge models used during the clinical steps and ontologies. This modular approach is suitable for the realization of MADSS in many areas.

中文翻译：

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基于多智能体本体的临床决策支持系统

临床决策支持系统结合了来自各种来源的知识和数据，由基于随机方法的定量模型或基于专家启发式和演绎推理的定性模型表示。同时，案例推理（CBR）记忆并返回解决类似问题的经验。异构临床知识库（知识对象、语义距离、评价函数、逻辑规则、数据库...）的协作基于医学本体。多代理决策支持系统 (MADSS) 可以实现不同知识领域（符号学、药理学、临床案例等）专业代理的集成和合作。每个专家代理操作一个知识库，该知识库根据与表达所讨论领域的术语之间的语义关系的本体论基础相关联的现有技术来定义要维护的行为。我们的方法基于适应临床步骤和本体论中使用的知识模型的代理的专业化。这种模块化方法适用于许多领域的 MADSS 实现。