Title :
Application of data mining based on clinical medicine database
Author :
Ang, Qing ; Wang, Wei-dong ; Zhao, Bo-ya ; Li, Jing ; Li, Kai-yuan
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Abstract :
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.
Keywords :
data analysis; data mining; diseases; learning (artificial intelligence); medical information systems; neural nets; pattern clustering; artificial neural network; cancer; cardiovascular disease; clinical medicine database; cluster analysis; data mining; data preprocessing; disease early warning; manifold learning; Data mining; Databases; Hospitals; Manifolds; Medical diagnostic imaging; Signal processing algorithms; Artificial Neural Networks; Clinical Medicine Database; Data Mining; Disease Early Warning; Manifold Learning;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555754
