Application of Data Mining based on Clinical Medicine Database

摘要：

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.

关键词： Clinical Medicine Database Data Mining Artificial Neural Networks Manifold Learning Disease Early Warning

作者: Qing Ang Wei-dong Wang Bo-ya Zhao Jing Li Kai-yuan Li

作者单位: School of Information and Electronics,Beijing Institute of Technology, 100081 Department of Biomedic Department of Biomedical Engineering,Chinese PLA(Peoples Liberation Army)General Hospital, 100853 B

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 2400-2404

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）