Title :
The Automatic Classification Research to Medical Imaging Disease Based on Naïve Nayesion Algorithm
Author :
Niu Luoyong ; Hong Jiaming ; Huo Hongbo ; He Bishi ; Xu Zhe
Author_Institution :
Hangzhou 1st Hosp., Hangzhou, China
Abstract :
This paper uses k-means algorithm to cluster medical imaging disease, and applies Naïve Bayesian classifier to realize the automatic classification of diseases, then achieves hierarchical retrieval of medical imaging examination report information by using. Net technology. It improves the retrieval efficiency and provides convenience for doctors to carry out clinical research.
Keywords :
Bayes methods; biomedical imaging; classification; diseases; information retrieval; medical information systems; pattern clustering; -means algorithm; .Net technology; Naïve Nayesion algorithm; automatic disease classification research; hierarchical medical imaging examination report information retrieval; medical imaging disease cluster; retrieval efficiency improvement; Bayes methods; Biomedical imaging; Classification algorithms; Clustering algorithms; Diseases; Naïve Bayesian; automatic classification; hierarchical retrieval; k-means algorithm;
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
DOI :
10.1109/CIS.2014.71
