Design of Quality Evaluation Platform for Treating Superficial Thrombophlebitis with Traditional Chinese Medicine

In this paper, TCM treatment of superficial thrombophlebitis data is taken as the research object, and medical quality indicators is taken as the starting point, we try to mine and analyze the potential causal relationship in the front page data of the medical record through the use of outlier detection algorithm, to improve the quality of hospital medical care. In the scheme, the number of neighbors of each data point is determined automatically by the algorithm, and there is no need to specify it artificially. The points in the dense region have more neighbors, while the points in the sparse region have fewer neighbors. Then, the final model evaluation score of each medical service is obtained through the model calculation formula. Finally, by comparative analysis, the data sources of the changes of a series of medical indicators are found out, and the effectiveness of the strategy is verified.