[Exploration and example interpretation of real-world herbal prescription classification based on similarity matching algorithm].
Zhongguo Zhong Yao Za Zhi
; 48(4): 1132-1136, 2023 Feb.
Article
in Chinese
| MEDLINE | ID: covidwho-2306506
ABSTRACT
In observational studies, herbal prescriptions are usually studied in the form of "similar prescriptions". At present, the classification of prescriptions is mainly based on clinical experience judgment, but there are some problems in manual judgment, such as lack of unified criteria, labor consumption, and difficulty in verification. In the construction of a database of integrated traditional Chinese and western medicine for the treatment of coronavirus disease 2019(COVID-19), our research group tried to classify real-world herbal prescriptions using a similarity matching algorithm. The main steps include 78 target prescriptions are determined in advance; four levels of importance labeling shall be carried out for the drugs of each target prescription; the combination, format conversion, and standardization of drug names of the prescriptions to be identified in the herbal medicine database; calculate the similarity between the prescriptions to be identified and each target prescription one by one; prescription discrimination is performed based on the preset criteria; remove the name of the prescriptions with "large prescriptions cover the small". Through the similarity matching algorithm, 87.49% of the real prescriptions in the herbal medicine database of this study can be identified, which preliminarily proves that this method can complete the classification of herbal prescriptions. However, this method does not consider the influence of herbal dosage on the results, and there is no recognized standard for the weight of drug importance and criteria, so there are some limitations, which need to be further explored and improved in future research.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Observational study
/
Prognostic study
Topics:
Traditional medicine
Limits:
Humans
Language:
Chinese
Journal:
Zhongguo Zhong Yao Za Zhi
Journal subject:
Pharmacology
/
Complementary Therapies
Year:
2023
Document Type:
Article
Affiliation country:
J.cnki.cjcmm.20221027.501
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