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	Development of knowledge-based ontology framework for diabetespatients in medical applications
	Li Chen; Dongxin Lu; Sandeep Pirbhulal; Ali Hassan Sodhro; Zhenda Chen; Guixin Huang; Hongyan Wu
	2018
会议日期	2018
会议地点	Shanghai
英文摘要	Diabetes is a disease that affects an estimated 422 million adults, and the total costs of diagnosed diabetes have raised more than $245 billion. The main limitations of existing, ontology-based methods for diagnosing diabetes are that they not only have semantic inconsistencies, but also they have not provided a complete, clinical approach due to consideration of a few numbers of classes in their models. In this study, a knowledge-based ontology framework (KBOF) is developed for screening and treating diabetic patients. The proposed KBOF provides a complete semantic and clinical approach by adding more detailed analysis of patients based on a standard ontology. We have implemented the developed KBOF on Web Ontology Language (OWL), which is a semantic-web language; it enables us to create a knowledge-based representation of diabetic patients by applying different parameters. From the comparative analysis, we observed that the proposed KBOF is more feasible and accurate than traditional models for managing diabetes.
语种	英语
URL标识	查看原文
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14149]
专题	深圳先进技术研究院_数字所
推荐引用方式 GB/T 7714	Li Chen,Dongxin Lu,Sandeep Pirbhulal,et al. Development of knowledge-based ontology framework for diabetespatients in medical applications[C]. 见:. Shanghai. 2018.

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