Sanchez Eider, Toro Carlos, Graña Manuel, Sanín Cesar, Szczerbicki Edward
Vicomtech-IK4 Research Centre, San Sebastian, Spain.
University of the Basque Country UPV/EHU, Computational Intelligence Group, Computer Science Faculty, San Sebastian, Spain.
Stud Health Technol Inform. 2014;207:234-43.
Decision recommendations are a set of alternative options for clinical decisions (e.g. diagnosis, prognosis, treatment selection, follow-up and prevention) that are provided to decision makers by knowledge-based Clinical Decision Support Systems (k-CDSS) as aids. We propose to follow a reasoning over domain approach for the generation of decision recommendations, by gathering and inferring conclusions from production rules. In order to rationalize our approach we present a specification that will sustain the logic models supported in the Knowledge Bases we use for persistence. We introduce first the underlying knowledge model and then the necessary extensions that will convey towards the solution of the reported needs. The starting point of our approach is the work of Toro et al. [13] on Reflexive Ontologies (RO). We also propose an extension of RO, by including the handling and reasoning that production rules provide. Our approach speeds-up the recommendation generation process.
决策建议是一组用于临床决策（如诊断、预后、治疗选择、随访和预防）的替代选项，由基于知识的临床决策支持系统（k-CDSS）提供给决策者作为辅助。我们建议通过从生产规则中收集和推断结论，采用基于领域的推理方法来生成决策建议。为了使我们的方法合理化，我们提出了一个规范，该规范将支持我们用于持久性的知识库中所支持的逻辑模型。我们首先介绍基础知识模型，然后介绍为满足所报告需求的解决方案所需的扩展。我们方法的起点是托罗等人[13]关于自反本体（RO）的工作。我们还提出了对RO的扩展，包括生产规则提供的处理和推理。我们的方法加快了建议生成过程。
