A New Quantitative Method of Tibetan Medicine Property ——Construction of “Ro Nus ZhurJes” Vector Structural Model / 中国实验方剂学杂志

ABSTRACT

“Ro Nus ZhurJes” theory is the core content of Tibetan medicine property theory, and also the core compatibility law of Tibetan medicine. It takes six tastes of medicine as the surface medicinal property, three tastes after digestion by "three gastropyretie" as the inner medicinal property, eight properties and seventeen effects as the deep medicinal property, and its essential property is the special medicinal property, forming a multi-level medicinal property theory, but its internal structure still needs to be unified and sorted out, clinical practicability needs to be further improved. In this paper, literature mining, Tibetan medicine theory, vector structural model, K-means clustering analysis, Gephi 0.9.2 visualization and other methods were used to sort out the theory of Tibetan medicinal properties. It was found that the inherent structure of Tibetan medicine properties had the multi-dimensional structural characteristics of "seven medicinal properties+three characteristics", and that the same medicinal properties would overlap, while the opposite medicinal properties would offset and could be expressed by vectors. Therefore, the vector structural model of "Ro Nus ZhurJes" of Tibetan medicine was proposed in this paper. Taking twenty-five-flavor Yuganzi powder(skyu-ru-nyer-lnga) and 92 commonly used Tibetan medicine prescriptions as examples, the rates of single prescription with seventeen effects and multiple prescriptions acting on three factors were analyzed. The model analysis results were highly consistent with the clinical efficacy, and the main diseases were the same, which showed that this model had a high degree of fitting and interpretation. It could effectively and intuitively quantify the properties of Tibetan medicine prescriptions and uncover the complex hidden knowledge of Tibetan medicine theory. In the future, the vector structural model of "Ro Nus ZhurJes" will be applied to analyze the classical prescriptions of Tibetan medicine, and the fitting evaluation and modification optimization will be carried out continuously in order to improve the practicability of theory of Tibetan medicine property in the big data environment and provide methodological reference for the quantification of medicinal property of Tibetan medicine prescriptions.