BIG DATA ANALYTICS HEALTH CARE

Abstract

With the approach ofinnovation and developing measure ofinformation, requirement is perceived towards executing efficient and successful analytics approach like Big Data Analytics to break down this huge amount ofinformation for obscure and helpful details. The data ofhealthcare varies from language to language, region to region, and also from local terminologies. By this lots ofexperience, knowledge and research work remains useless for other locals. Because the huge variation in data, Data get jeopardized. Maintaining the data available for everyone and for every local region is quiet difficult and costly that is why we are using a certified Healthcare data provider 3M HDD (3M Health Data Dictionary hddaccess.com). HDD Access provide verified and reliable data collected from all across the world. By bringing all these facilities for doctors to one platform, various analytics process and complex searches can be solved with in few seconds using Apache Hadoop Map reduce algorithm. Also, we are leveraging BRFSS data to perform univariate and bivariate analysis by plotting graphs. In this, we are using web interfaces which is connected to R and R tools to perform descriptive analysis.