Physical Examination Data Mining And Health Condition Analysis Of University Staff

As the promoters and inheritors of scientific and technological progress,workers in universities play a vital role in the progress of social science and technology.Therefore,the health problems of this group have been widely concerned for a long time.Based on the physical examination data of staff in a university in Chengdu in 2016,this paper conducted data mining and analysis on the overall health status of staff.First of all,a descriptive analysis was made of the staff’s participation in the physical examination,medical history,living habits and physical signs.Then,the paper makes a deep analysis of the common diseases of the staff in colleges,mainly using the model of logistic regression and association rules to analyze and excavate the influencing factors of the common diseases of the staff in different dimensions.Finally analyze health level of the college teachers,according to the deviation analysis about 28 medical index,using the K-means cluster analysis analyzing the result of deviation analysis,these staffs can be divided into three different health groups,study the distribution of low level of health staff,compare and analysis the group all kinds of habits and customs.Through the data mining and analysis above,we have a relatively clear understanding of the overall health status of university staff,and analyze the influencing factors of various diseases of university staff and the living habits of people with low health level and other information,which is of great practical significance to both university staff and doctors.