期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：6
页码：6752-6757
DOI：10.15680/IJIRSET.2018.0706059
出版社：S&S Publications
摘要：Now a days big data is the fastest and more widely used in every field .With the help of big data medical
and health care sectors achieves their growth and with help of big data benefit of a accurate medical data analysis ,
early disease prediction, accurate data of an patient can be securely stored and used .Moreover the accuracy of an
analysis can be reduced due to an various reason like incomplete medical data, some regional disease characteristics
which can be outbreaks the prediction. In this paper we can use a machine learning algorithm for the accurate disease
prediction for that purpose we can collect the hospital data of a particular region. For missing data we can use latent
factor model to achieve the incomplete data. In the previ-ous work for disease prediction Convolutional Neural
Network Based Unimodel Disease Prediction (CNN-UDRP) Algorithm is used. Convolutional Neural Network Based
Multimodal Disease Prediction(CNN-MDRP) algorithm is overcome the drawbacks of CNN-UDRP algorithm only
focus work on a structured data but CNN-MDRP algorithm uses both structured and unstructured data from the
hospital. None of the existing work focused on both data types in the area of medical big data analysis .CNN-MDRP
algorithm prediction is more accurate than compared to the previous prediction algorithm.
关键词：Data analytics; Health care data; Machine learning;
