期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：3
页码：4083
DOI：10.15680/IJIRCCE.2016.0403088
出版社：S&S Publications
摘要：Clinical diagnosis support system , which uses data mining techniques to help clinician to make decisions. The advantage of clinical diagnosis support system is that it reduce the diagnosis time and give accurate report. Na.ve Bayesian classification can be used to get valuable information. In this paper, we propose a new automatic clinical diagnosis system based on Na.ve Baye sian classification this system will help the clinician to diagnosis the risk of patients' disease in preserving way. In this system, the past patients' details are stored in cloud and Na.ve Bayesian classifier is used to create a trained set. We use AES c ryptosystem to give privacy to the data stored in cloud
