Quantitative Research On The Properties Of Traditional Chinese Medicine Based On BP Neural Network

Objective: It is difficult to accurately grasp the essential characteristics of traditional Chinese medicine's medicinal properties due to the abstraction and vagueness.This paper proposes a Quantitative Model of Traditional Chinese Medicine's Properties based on BP Neural Network(QM-BP Model)to train and realize quantitative representations of Chinese Herbal Medicine.Methods: Data for analysis are obtained and organized by conceptual analysis.Sample pairs of the associations are obtained based on the relationships of Chinese Herbal Medicine(CHM)and their efficacy.Then a QM-BP Model with three-tier structure in form of CHM-drug vector-efficacy is constructed,initialized and trained according to prior organized CHM data.Finally,rules of correlation of CHM and their efficacy is obtained by training dataset with drug vectors representing quantitative attributes of CHM.Results: Based on the training of QM-BP Model 474 TCM and 528 effects included in the textbook of Traditional Chinese Medicine w ere trained,then combined with the clinical efficacy of traditional Chinese medicine and the efficacy analysis of traditional Chinese medicine compound.It is found that the BP drug vectors representing drug properties after training reflect the attribute characteristics of CHM better than the initial quantitative values.In addition,as BP drug vector and word vector have similar properties,the BP drug vectors for CHM with similar efficacy is relatively close in Euclidean distance while the CHM with diff erent efficacies are relatively far in Euclidean distance.Conclusion: In this paper,a BP neural network is adopted to construct a medicine vector training model.Based on the correlation between the medicinal properties and efficacy of traditional Chinese medicine,the quantified values of the medicinal properties are modified to represent medicinal properties more accurately.In future work,the QM-BP model can be applied to the analysis of herb pairs and prescriptions to analyze the rules of combination related to medicinal properties and the compatibility within prescriptions.