Nursing Quality Based on Decision Tree Algorithm

With the continuous development of commodities and the constant changes in quality, medical care behavior is a commodity in the process of human society, and people are also concerned about its quality. Therefore, nursing quality evaluation has increasingly become the top priority of medical research. In addition, with the continuous development and application of data mining methods, many researchers have applied data mining methods to the study of nursing quality. This paper studies nursing quality based on Decision Tree algorithm (DTA). This paper firstly describes the basic concepts of the data DTA and the process of decision tree (DT) construction, then explains the common algorithms, and finally the model construction and evaluation.