Application Of Data Mining In The Field Of Medical Diagnosis And The Internet Of Things

The essence of data mining is found in a great deal of data and complex process of law, thus the data mining can be applied in every field of life and work. As a current discipline the scientific theory of increasingly perfect, the need to apply these theories to real life to produce effective social and economic value. Based on data mining in two key areas of medical diagnosis and the application of Internet of things as the breakthrough point, through the use of data mining technology to solve specific problems.Cancer is a rather stubborn disease in the history of human disease; in China it takes away the lives of millions of people every year. But if it can be in the presence of the early detection of cancer, its completely cure rate can reach60%or more. The existence of the early detection of cancer, or how in early diagnosis of cancer is very important. In this paper, the main work is the early diagnosis of cancer data mining process flow chart is given, and the cancer decision module of the algorithm in detail. The cancer decision problem can be converted to the classification problem of data mining, through the attribute all0,1, correlation value type transformation so as to realize the cancer early decision quick decisions. Using historical data training classifiers, the classifier is used in the comparison, selection and classification effect optimal classifier will be the optimal classifier, which is the core of the medical decision stage cancer classifier. In this paper, the history of the attribute from the value of the attributes of cancer patients, at the same time at the time of experiment to join a certain number of cancer cases.Internet of things as an emerging field, combining now at the forefront of sensing technology and network technology will greatly improve people’s life style. To really play the huge potential of the Internet of things, establish a lot of information processing system is indispensable. How to automate, intellectualized management information processing system is a bottleneck in the development of the Internet of things type problems. This paper describes a call center node processing scheme, the essence of which is to install a new sensor signal at the receiving end of intelligent node device. Can complete of muti-types sensors signal reception center node, data mining technology is applied to implement simple data report. In addition, in addition to set up the center of the node has the function of data mining can also contain node communication, combined with the central node of wireless network Settings and security policy Settings apply lot other required data transmission makes the reuse of sensor possible. For daily report of center node data mining service module simple description, about the anomaly detection method is discussed in detail.KNN data mining technology was applied to abnormal sequence detection, through the calculation of the density and decide whether the time sequence of abnormal. At the back of the experimental section designed an experiment by comparing normal sequence and abnormal sequence verification algorithm is feasible, on the basis of feasibility to discuss the value of K.