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
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
2503779Informations 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