Knowledge Graphs of Kawasaki Disease

Health Information Science and Systems - Tập 9 - Trang 1-8 - 2021
Zhisheng Huang1,2,3, Qing Hu1,2,3, Mingqun Liao4, Cong Miao5, Chengyi Wang5,6, Guanghua Liu5
1Knowledge Representation and Reasoning (KR&R) Group, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
2School of Computer Science and Engineering, Wuhan University of Science and Technology, Wuhan, China
3Ztone International BV, Purmerend, The Netherlands
4Ztone Fujian, Fuzhou City, China
5Fujian Provincial Maternity and Children’s Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China
6Engineering Research Center for Medical Data Mining and Application of Fujian, Fujian, China

Tóm tắt

Kawasaki Disease is a vasculitis syndrome that is extremely harmful to children. Kawasaki Disease can cause severe symptoms of ischemic heart disease or develop into ischemic heart disease, leading to death in children. Researchers and clinicians need to analyze various knowledge and data resources to explore aspects of Kawasaki Disease. Knowledge Graphs have become an important AI approach to integrating various types of complex knowledge and data resources. In this paper, we present an approach for the construction of Knowledge Graphs of Kawasaki Disease. It integrates a wide range of knowledge resources related to Kawasaki Disease, including clinical guidelines, clinical trials, drug knowledge bases, medical literature, and others. It provides a basic integration foundation of knowledge and data concerning Kawasaki Disease for clinical study. In this paper, we will show that this disease-specific Knowledge Graphs are useful for exploring various aspects of Kawasaki Disease.

Tài liệu tham khảo

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