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

Author:

Wang Jianghan1,Qu Zhu1,Hu Yihan1,Ling Qiyun1,Yu Jingyi1,Jiang Yushan1

Affiliation:

1. School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

Abstract

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.

Funder

Ministry of Education, Science and Technology Development Center

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference32 articles.

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