Application of data mining based on clinical medicine database

By introducing status and progress of data mining and analyzing characteristics of medical data, a mathematical model of clinical medicine data mining is designed using data preprocessing, artificial neural network and manifold learning, focusing on data mining of clinical biochemical examining results for high-risk population with cancer and cardiovascular disease, and taking model output whose input was clinical examination data of 128 cancer patients and 32 cardiovascular patients for example. This work will not only make basis for further cluster analysis and disease early warning, but also provide data process methods and instructions.