Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation-Reference-Cited by-同舟云学术

Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation

Published:2022-06 Issue:1-2 Volume:2 Page:1-13
ISSN:2667-1336
Container-title:Human-Centric Intelligent Systems
language:en
Short-container-title:Hum-Cent Intell Syst

Author:

Liao Xiong^ORCID,Liao Meng,Guo Andi,Luo Xinran,Li Ziwei,Chen Weiyuan,Li Tianrui,Du Shengdong,Jia Zhen

Abstract

AbstractKnowledge Graph (KG) has been proven effective in representing and modeling structured information, especially in the medical domain. However, obtaining structured medical information usually depends on the manual processing of medical experts. Meanwhile, the construction of Medical Knowledge Graph (MKG) remains a crucial problem in medical informatization. This work presents a novel method for constructing MKGto drive the application of Rational Drug Use (RDU). We first collect and preprocess the corpora from various types of resources, and then develop a medical ontology via studying the concepts in RDUdomain, authoritative books and drug instructions. Based on the medical ontology, we formulate a scheme to annotate the corpora and construct the dataset for extracting entities and relations. We utilize two mechanisms to extract entities and relations respectively. The former is based on deep learning, while the latter is the rule-based method. In the last stage, we disambiguate and standardize the results of entity relation extraction to construct and enrich the MKG. The experimental results verify the effectiveness of the proposed methods.

Funder

Sichuan Key R &D project

the National Key R &D Program of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s44230-022-00005-z.pdf

Reference46 articles.

1. Hong L, Shi XY. A method for constructing medical ontology: the case of Brain Area and Autism. J Inf Resour Manag. 2020;10(2):80–90.

2. Liu H. X, Research on Construction and Retrieval of Diabetes Ontology, Master’s thesis, Jilin University, 2014.

3. Jia XH, Song WA, Li WY, Wang Q, Lei Y, Chen ZH, Chang ZP. Research and Implementation of the Construction of Slow Obstructive Pulmonary Knowledge Map. J Chin Comput Syst. 2020;41(7):1371–4.

4. Fu Y, Liu MF, Qiao R. Construction of Chinese Knowledge Graph of Heart Disease. J Wuhan Univ (Science Edition). 2020;66(3):261–7.

5. Lin YR, Zhang Y, Liu D, Qiao DP, Si HY, Jiang YP, Zhu J, Lu KD, Cheng H. Constructing a Medical Knowledge Graph of Nephropathy Based on the Electronic Medical Records of Nephropathy Specialists. J Southwest Univ (Natural Science Edition). 2020;42(11):52–8.