The Construction Model of the TCM Clinical Knowledge Coding Database Based on Knowledge Organization.


Journal

BioMed research international
ISSN: 2314-6141
Titre abrégé: Biomed Res Int
Pays: United States
ID NLM: 101600173

Informations de publication

Date de publication:
2022
Historique:
received: 29 11 2021
accepted: 16 12 2021
entrez: 27 1 2022
pubmed: 28 1 2022
medline: 9 4 2022
Statut: epublish

Résumé

Based on the knowledge organization method, this paper explores the construction method of the traditional Chinese medicine (TCM) clinical knowledge coding model by taking TCM clinical electronic medical record data as the research object. Firstly, extracting technology is used to obtain the required data in the electronic medical record. Then, by constructing the clinical knowledge coding model, the tacit knowledge is made explicit, establishing the clinical knowledge base and exploring the connotation of TCM clinical knowledge. It provides necessary data resources for deepening the expression level of TCM clinical knowledge, constructing accurate TCM clinical diagnosis, intervention, and evaluation models, and promoting the inheritance, innovation, and development of TCM. In this paper, we extracted the data of 318 cases of distention and established the TCM clinical database from the basic information of patients, clinical diagnosis information, clinical diagnosis and treatment information, and clinical evaluation information. Based on the knowledge coding model and the connotation of knowledge attributes, the established TCM clinical knowledge base was to explore the law of TCM clinical precision diagnosis and treatment.

Identifiants

pubmed: 35083328
doi: 10.1155/2022/2503779
pmc: PMC8786531
doi:

Substances chimiques

Drugs, Chinese Herbal 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2503779

Informations de copyright

Copyright © 2022 Pan Zhang et al.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest.

Références

AMIA Annu Symp Proc. 2017 Feb 10;2016:1880-1889
pubmed: 28269947
J Biomed Inform. 2017 Sep;73:14-29
pubmed: 28729030
BMC Med Inform Decis Mak. 2019 Apr 9;19(Suppl 2):64
pubmed: 30961597
Bioinformatics. 2020 Jan 1;36(1):295-302
pubmed: 31243432

Auteurs

Pan Zhang (P)

College of Clinical Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.

Shaowu Shen (S)

College of Information Engineering, Hubei University of Chinese Medicine, Wuhan 430065, China.

Wenping Deng (W)

College of Information Engineering, Hubei University of Chinese Medicine, Wuhan 430065, China.

Shusong Mao (S)

Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430065, China.

Yan Wang (Y)

College of Information Engineering, Hubei University of Chinese Medicine, Wuhan 430065, China.

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Classifications MeSH