DocumentCode
234863
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
fYear
2014
fDate
15-16 Nov. 2014
Firstpage
308
Lastpage
311
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4799-7433-7
Type
conf
DOI
10.1109/CIS.2014.71
Filename
7016906
Link To Document