Research on Performance Appraisal Indicators of Traditional Chinese Medicine Characteristic Treatment Based on Data Mining
Based on the current performance appraisal method for tertiary public Traditional Chinese Medicine hospitals,this paper uses data mining technology to analyze the related indicators of TCM characteristic treatment.In order to achieve multi-dimensional evaluation of department performance appraisal goals,the Unsupervised Learning algorithm is used to classify data on the TCM characteristic treatment projects.The research uses three feature engineering methods to preprocess TCM characteristic treatment related indicators through constructing CK-means clustering model,then uses the improved CK-means model for unsupervised clustering training.It changes the traditional division mode of department assessment and divides the entire departments of the hospital into 5 clusters.Based on the classification results,department assessment methods with more TCM characteristics can be developed and optimized to provide support and guarantee for the good development of tertiary TCM hospitals.
refine operationTraditional Chinese Medicine characteristic treatmentclustering algorithmperformance appraisal
国家科技期刊平台
NSTL
万方数据
