" 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.