Development of knowledge-based ontology framework for diabetespatients in medical applications
文献类型：会议论文
| 作者 | Li Chen; Dongxin Lu; Sandeep Pirbhulal; Ali Hassan Sodhro; Zhenda Chen; Guixin Huang; Hongyan Wu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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