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Ontology based clinical decision support system for diabetes diagnostic

机译：基于本体的糖尿病诊断临床决策支持系统

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This paper presents a diagnosis and treatment recommendation system for diabetes. The system considers patient information, symptoms and signs, risk factors and lab tests and suggests a treatment plan according to the diabetes type as recommended by the Clinical Practice Guidelines (CPG). The work consisted in the acquisition, modeling and implementation of diabetes domain expertise from experts, the CPG and other sources to develop a domain ontology and a decision support system to handle the diabetes in an early stage. The proposed system uses an ontology to allow a standard representation of domain concepts and relationships and enable clinical knowledge sharing, update and reuse. The proposed ontology is designed and developed by OWL-DL, the rules are constructed by the Semantic Web Rule Language (SWRL) and executed by JESS inference engine.
机译：本文提出了一种糖尿病诊治推荐系统。该系统会考虑患者信息，症状和体征，危险因素和实验室检查，并根据《临床实践指南》（CPG）的建议根据糖尿病类型提出治疗计划。这项工作包括从专家，CPG和其他来源获取，建模和实施糖尿病领域的专业知识，以开发领域本体和决策支持系统以在早期阶段处理糖尿病。所提出的系统使用本体来允许领域概念和关系的标准表示，并且能够实现临床知识的共享，更新和重用。所提出的本体由OWL-DL设计和开发，规则由语义网规则语言（SWRL）构造并由JESS推理引擎执行。

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