Research On Early Warning Of Women's Health Based On Association Rules Mining

Information Technology has developed rapidly in recent years,whether we are using a computer or a mobile phone,a large number of data will be generated,including text data or picture data.When a large number of data is collected,the word big data comes into being.It mainly refers to the special data set that can not be effectively managed by the old data management system.The core of big data is to use the relevant data mining technology to mine the value contained in the massive data.In this context,data mining technology came into being.With the wide application on the "Internet +",it reflect the status of the Internet technology in the future society.As the importance of the medical industry in the whole social economy,"Internet + medical" treatment has become a hot topic in the current social development.At present,there are many difficulties in the medical and health industry,mainly the increasing medical expenditure,which includes administrative waste,medical fraud and missed prevention opportunities.The main reason for this situation is that we can not make good use of a large number of medical data to get valuable information.If we can use data mining technology to mine a large number of existing medical data,and get some useful rule information from it,it is not only beneficial to patients' health,but also can make full use of medical index data,so that doctors' decision-making is more scientific and accurate.This paper focuses on the health problems of women under the rapid development of social economy.Because women have become the backbone of the development of social production and life,while bearing the burden of reproduction of the next generation,so with the rapid development of the Internet,how to make women more convenient to understand their health status,especially during pregnancy and childbirth,from the complex and tedious physical examination reports It has become a hot topic of discussion.This paper first introduces the research background and development status of the subject,then introduces the basic concepts and methods of data mining,then introduces the definition and process of association rule mining,and emphatically analyzes several related association rule mining algorithms from algorithm steps and algorithm advantages and disadvantages,then puts forward the improved optimized algorithm model,and applies it to women's health Early warning application.By using the improved algorithm with high efficiency to mine and analyze the data of women's physical examination,we can find the relationship between different indicators,and get the relationship rules hidden in a large number of data,which can be used in the early warning of women's health duringpregnancy and childbirth,identify the risks in time,prevent and treat as early as possible,and at the same time,it can improve the efficiency and accuracy of doctors' diagnosis and decision-making,make full use of medical resources,and reduce the risk Necessary medical expenses and errors can better guarantee the health of women in pregnancy and childbirth from all aspects,so that they can make their own contributions to the family,the country and the society.This study is not only conducive to the promotion of women's health management,but also has far-reaching significance for the development and implementation of China's "smart medical" strategy.