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：4
页码：7197
DOI：10.15680/IJIRCCE.2016.0404170
出版社：S&S Publications
摘要：Big data can be referred as huge storage of structured, semi-structured and unstructured data, can be used for analysis for extraction of knowledge. Nowa day's many social networking users shares their health linked information on web. Such health related information can use for prediction of diseases. Diseases like asthma, high/low blood pressure, diabetes are most prevalent and costly chronic conditions in the world which cannot be cured. However accurate and timely surveillance data can control the diseases. Now current medical dataset can predict emergencies up to certain level but is not able to produce better result. A better another for this is bigdata. In this paper a new novel method stands introduced which collect results and prediction data from many social networking sites like twitter, Google search. Specialized categories can be made depending on diseases. A generalized method is discussed in this paper which will predict the fore-coming strokes of different diseases depending on data gathered by social networking sites
