Diagnosis and Treatment Knowledge Graph Modeling Application Based on Chinese Medical Records

被引：1
|
作者：
Wang, Jianghan [1 ]
Qu, Zhu [1 ]
Hu, Yihan [1 ]
Ling, Qiyun [1 ]
Yu, Jingyi [1 ]
Jiang, Yushan [1 ]
机构：
[1] Northeastern Univ Qinhuangdao, Sch Math & Stat, Qinhuangdao 066004, Peoples R China
来源：
ELECTRONICS | 2023年 / 12卷 / 16期
关键词：
medical big data; knowledge graph; graph database; entity extraction; NLP;
D O I：
10.3390/electronics12163412
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study, a knowledge graph of Chinese medical record data was constructed based on graph database technology. An entity extraction method based on natural language processing, disambiguation, and reorganization for Chinese medical records is proposed, and dictionaries of drugs and treatment plans are constructed. Examples of applications of the knowledge graph in diagnosis and treatment prediction are given. Experimentally, it is found that the knowledge graph based on the graph database is 116.7% faster than the traditional database in complex relational queries.
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页数：13
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