COMPARATIVE ANALYSIS OF DATA MINING TECHNIQUES FOR MEDICAL DATA CLASSIFICATION

被引:0
作者
Lashari, S. A. [1 ]
Ibrahim, R. [1 ]
机构
[1] Univ Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
来源
COMPUTING & INFORMATICS, 4TH INTERNATIONAL CONFERENCE, 2013 | 2013年
关键词
Medical data classification; data mining; neural networks; texture classification; COMPUTER-AIDED DIAGNOSIS; FRAMEWORK; TOOL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Medical data classification plays a crucial role in many medical imaging applications by automating or facilitating the delineation of image data. It addresses the problem of diagnosis, analysis and teaching purposes in medicine. For these several medical imaging data modalities and applications based on data mining techniques have been proposed and developed. In this paper, a comparative analysis of applications of data mining techniques has been presented. Thus, the existing literature suggests that we do not lose sight of the current and future potential of applications of data mining techniques that can impact upon the successful classification of medical data into a thematic map. Thus, there is a great potential for the use of data mining techniques for medical data classification, which has not been fully investigated and would be one of the interesting directions for future research.
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收藏
页码:365 / 370
页数:6
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