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IJSRP, Volume 9, Issue 3, March 2019 Edition [ISSN 2250-3153]



      A.S. Thanuja Nishadi

Abstract: The large volumes of healthcare big data are rapidly generating all over the world in numerous ways. Therefore, significant amount of money has been allocating for healthcare industry for treatments, diagnosis and other research and development areas in handling healthcare big data. Further, patients are unnecessarily spending time, effort and money, due to lack of telemedicine support. However, the rapid growth of unstructured healthcare data does not support for existing big data analyzing technologies. Therefore, the study suggests Hadoop MapReduce for store and process medical data to avoid the modern issues in healthcare big data analysis.

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A.S. Thanuja Nishadi (2019); Healthcare Big Data Analysis using Hadoop MapReduce; International Journal of Scientific and Research Publications (IJSRP) 9(3) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.03.2019.p87104

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