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A survey on large scale bio-medical data implementation methods
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| Author:
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PATHAPATI SAROJA, P. UDAYARAJU, B. SUREESHA
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| Abstract:
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In the ongoing years, the volume of data that exists on the planet has risen significantly. Biomedical data will be data
that are recorded from a living being that is utilized to help analyzing and diagnosis of a specific disease. In the same
way as other different sorts of data, the volume biomedical data has likewise ascended over the most recent few
years. With the end goal to process this huge measure of data, conventional preparing systems are not satisfactory
and here is big data for the most part manages the capacity and handling of expansive scale and complex structure
data sets for which the customary techniques end up being unfit. In this paper, we examine a few methodologies in
preparing extensive measure of biomedical data. This paper will likewise examine a few varieties of biomedical data
and the test that are confronted when handling those biomedical data in expansive sizes and survey and talk about big
data application in four noteworthy biomedical sub disciplines: bioinformatics, clinical informatics, public health
informatics, imaging informatics. Survey the ongoing advancement and leaps forward of big data applications in these
human services areas and condense the difficulties and holes to enhance and advance big data applications in social
insurance.
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| Keyword:
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Big data, bioinformatics, medical imaging, cloud computing, biomedicine, data-driven application, health informatics, medical informatics, sensor informatics, social health.
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| EOI:
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| DOI:
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https://doi.org/10.31838/ijpr/2019.11.01.087
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| Download:
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