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：2017
卷号：5
期号：12
页码：17579
DOI：10.15680/IJIRCCE.2017.0512051
出版社：S&S Publications
摘要：The fast growing sector of big data analytics has started to play a key role in the evolution of healthcarepractices and research. It has provided tools for gathering, managing, analyzing and assimilating large, structured andunstructured volumes of data produced by current healthcare systems. Big Data Analysis has recently been applied tohelp the process of delivering attention and exploration of diseases. However, the rate of adoption and development ofresearch in this space is still hampered by some fundamental problems inherent in the big data paradigm. In this paper,we have optimized automatic learning algorithms for the effective prediction of chronic disease epidemics in frequentdisease communities. We propose a new convolutional neural networks (CNN-MDRP) multimodal disease predictionalgorithm using structured and unstructured hospital data.
关键词：Big data analytics; Machine Learning; Healthcare
