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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Survey on analyzing and processing of EHR Medical data using Matlab and Hadoop |
| Authors Name: | Kavita Garg , Pramila Joshi |
| Unique Id: | IJSDR1605126 |
| Published In: | Volume 1 Issue 5, May-2016 |
| Abstract: | 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 |
| Keywords: | BIG Data, Medical Image, MATLAB, Hadoop, Map Reduce, HDFS, EHR Data, Cloudera |
| Cite Article: | "Survey on analyzing and processing of EHR Medical data using Matlab and Hadoop ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 5, page no.661 - 669, May-2016, Available :http://www.ijsdr.org/papers/IJSDR1605126.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR1605126 Registration ID:160312 Published In: Volume 1 Issue 5, May-2016 DOI (Digital Object Identifier): Page No: 661 - 669 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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