A Survey on Big Data Techniques in Medical Field
B. Triveni1, P. Bhargavi2, S. Jyothi3
1B. Triveni, Department of Computer Science, Sri Padmavathi Mahila Visvavidyalayam, Tirupati (A.P), India.
2P. Bhargavi, Department of Computer Science, Sri Padmavathi Mahila Visvavidyalayam, Tirupati (A.P), India.
3S. Jyothi, Department of Computer Science, Sri Padmavathi Mahila Visvavidyalayam, Tirupati (A.P), India.
Manuscript received on 10 December 2017 | Revised Manuscript received on 18 December 2017 | Manuscript Published on 30 December 2017 | PP: 146-151 | Volume-7 Issue-2, December 2017 | Retrieval Number: B5268127217/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big data analytics is rapidly expanding in various fields and it has started to play a crucial role in Medical field. It is providing various tools to store, manage, analyze, and assimilate massive data sets of disparate, structured, and unstructured data produced by current Medical systems. Big data in medical field can build better health profiles and predict outbreaks of epidemics, Clinical decision support for patients with accurate diagnosis and can build novel treatment for diseases .This paper provides Big Data concepts and its characteristics used in Medical field. This paper also reviews the analysis of Big Data Analytics in Medical Field.
Keywords: Medical field, Diagnosis, Clinical decision support, Big Data Concepts, Big Data Analytics.
Scope of the Article: Data Analytics