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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >OntoDiabetic: An Ontology-Based Clinical Decision Support System for Diabetic Patients
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OntoDiabetic: An Ontology-Based Clinical Decision Support System for Diabetic Patients

机译：ontodiabetic：糖尿病患者的基于本体临床决策支持系统

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摘要

Clinical decision support systems (CDSS) assist medical practitioners in their daily work, thereby enhancing the quality of care given to a patient. It supports them in the decision-making process and suggests appropriate treatments. The use of the ontology to build knowledge-driven decision support systems is widely adopted. Ontology is best suited to encapsulate the concepts and relationships of terms associated with the medical domain. It is suitable for capturing medical knowledge in a formal way, allowing sharing and reusing it whenever necessary. All concepts and relationships detailed in clinical guidelines can be implemented usingWeb Ontology Language (OWL). The reasoning mechanism is vital in any knowledge-based system. Ontology can be reasoned to recommend the suitable treatment for a patient by considering the current medical status of the patient. OntoDiabetic, an ontology-based decision support system is developed to assess the risk factors and provide appropriate treatment suggestions for diabetic patients. This paper focuses on the modeling and implementation of clinical guidelines using OWL2 rules and the reasoning process of the OntoDiabetic system. The case study is conducted for patients having the risk of overt cardiovascular disease, diabetic nephropathy and hypertension in primary health centers of Oman.
机译：临床决策支持系统（CDSS）协助医生在日常工作中，从而提高患者的护理质量。它在决策过程中支持他们，并建议适当的治疗方法。广泛采用本体的使用来构建知识驱动的决策支持系统。本体论最适合封装与医疗领域相关的术语的概念和关系。它适合以正式的方式捕获医学知识，允许在必要时共享和重用。临床指南中详述的所有概念和关系都可以使用WEB本体语言（OWL）来实现。在基于知识的系统中，推理机制至关重要。可以通过考虑患者的当前医疗状态来推荐本体论以推荐患者的合适治疗。开发了一种基于本体的决策支持系统，以评估危险因素并为糖尿病患者提供适当的治疗建议。本文侧重于使用OWL2规则的临床指南的建模和实施以及砧奶肉制剂的推理过程。对患有公开心血管疾病风险，糖尿病肾病和阿曼原发性保健中心的患者进行案例研究。

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