期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：37
期号：3
页码：110-116
DOI：10.14445/22312803/IJCTT-V37P121
出版社：Seventh Sense Research Group
摘要：Data mining techniques help clinician make proper decisions in health care applications. The benefits of clinical decision support system include not only improving diagnosis of illness accuracy but also reducing identification time. Specifically, with massive amounts of clinical data generated every day, decision tree algorithm can be utilized to excavate valuable data to improve clinical decision support system. In this paper a hybrid algorithm is proposed which integrates both the homomorphic encryption and navie bayes for storing the data in database safe manner. In order to retrieve the data safely and classify the abnormal and normal data fuzzy based system is employed here.
