Survey on analyzing and processing of EHR Medical data using Matlab and Hadoop

Kavita Garg , Pramila Joshi

BIG Data, Medical Image, MATLAB, Hadoop, Map Reduce, HDFS, EHR Data, Cloudera

In today’s world data is evolving at a very high pace which we term as Big Data . Big Data can be described as a large volume of data which can be in the form of structured and unstructured data . It is very difficult to analyze and process this huge data using the existing traditional databases and the software technologies . The medical image data produced by the hospitals increasing exponentially at a higher rate . Due to the new imaging techniques and instruments available , the growth has been accelerated . To analyze the required information from such a vast amount of image data is challenging . To fetch the important information from these images in the form of digital data requires the new innovative softwares . This survey paper explores the processing of medical data images using MATLAB tool and then processing the output of the tool using Hadoop . MATLAB has a MapReduce functionality which can be used to analyze the big data set. It is fully compatiable with Hadoop MapReduce as a result of which MapReduce based algorithms in MATLAB can be run within the Hadoop Mapreduce Framework

Published Paper   E-Certificate

"Survey on analyzing and processing of EHR Medical data using Matlab and Hadoop ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.661 - 669, May-2016, Available :https://ijsdr.org/papers/IJSDR1605126.pdf

Volume 1 Issue 5, May-2016

Pages : 661 - 669

Paper Reg. ID: IJSDR_160312

Published Paper Id: IJSDR1605126

Downloads: 000347063

Research Area: Engineering

Country: Unknown, Unknown, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1605126

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1605126

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition