Constructing patient diagnosis and treatment knowledge graph from relational database of EMR systemZHANG

Corresponding author: zhangbaiping, 2503002258@qq.com

DOI: 10.12201/bmr.202110.00031

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  Abstract: This paper introduces the motivation of using graph database in EMR data, expounds the whole process of using neo4j to model the relational data of EMR system, constructs the multi relational heterogeneous diagnosis and treatment knowledge graph of outpatient records of a large Class Ⅲ Grade Ⅰ general hospital, realizes the visualization of the structure of relational database in EMR system, and explores the potential of using graph database to promote data management and analysis. The ultimate goal of this work is to study techniques and methods in order to obtain more insights from the visual representation and analysis of large graph databases.

  Key words: graph database visualisation of relations EMR knowledge graph

  Submit time: 7 December 2021

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2021-10-28	bmr.202110.00031V1	Download

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