Open AccessCloud Enabled Predictive Big data Analytics Framework for Healthcare
Author(s) -
Madhuri A. Dalal*,
D. R. Ingle
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5395.098319
Subject(s) - big data , data science , predictive analytics , cloud computing , computer science , analytics , context (archaeology) , data analysis , health care , data mining , paleontology , biology , economics , economic growth , operating system
Big data is one of the recently emerged domain in today's digital age where everything is being digitized. Very large size of data is produced from various organizations all through the globe .This very large size of data is termed as big data..Conventional databases are not able to handle the challenges with enormous data. Detailed examination of large amounts of data requires a lot of efforts at various levels with the aim of finding knowledge , hidden patterns for decision making. Big data analytics plays an essential character in order to attain predictive analytics in healthcare. Cloud systems can be employed for the storage of big data so that users can be able to access it from anywhere . The objective of this paper is to review the concept of big data , healthcare in the context of big data and cloud computing. It also proposes architecture framework model for predictive big data analytics in healthcare area. It also presents technology for big data analytics. This paper also addresses the use of big data analytics along with specifying healthcare applications