| Title | Research on Application of Chinese Natural Language Processing in Constructing Knowledge Graph of Chronic Diseases |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Qin, Shuangling, Xu, Chaozhi, Zhang, Fang, Jiang, Tao, Ge, Wei, Li, Jihong |
| Conference Name | 2021 International Conference on Communications, Information System and Computer Engineering (CISCE) |
| Date Published | may |
| Keywords | data mining, Education, Human Behavior, Knowledge engineering, knowledge graph, Medical diagnostic imaging, Medical services, named entity recognition, natural language processing, Object recognition, pubcrawl, Relationship extraction, resilience, Resiliency, Scalability |
| Abstract | Knowledge Graph can describe the concepts in the objective world and the relationships between these concepts in a structured way, and identify, discover and infer the relationships between things and concepts. It has been developed in the field of medical and health care. In this paper, the method of natural language processing has been used to build chronic disease knowledge graph, such as named entity recognition, relationship extraction. This method is beneficial to forecast analysis of chronic disease, network monitoring, basic education, etc. The research of this paper can greatly help medical experts in the treatment of chronic disease treatment, and assist primary clinicians with making more scientific decision, and can help Patients with chronic diseases to improve medical efficiency. In the end, it also has practical significance for clinical scientific research of chronic disease. |
| DOI | 10.1109/CISCE52179.2021.9445976 |
| Citation Key | qin_research_2021 |
Research on Application of Chinese Natural Language Processing in Constructing Knowledge Graph of Chronic Diseases