Analysis of Big Data in Healthcare Applications
S. Sadagopan1, R. Muthu Venkata Krishnan2, B. Sundarraj3, S. Sri Gowtham4
1S. Sadagopan, Department of CSE, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India.
2R. Muthu Venkata Krishnan, Department of CSE, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India.
3B. Sundarraj, Department of CSE, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India.
4S. Sri Gowtham, Department of CSE, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India.
Manuscript received on 09 July 2019 | Revised Manuscript received on 21 July 2019 | Manuscript Published on 23 August 2019 | PP: 1184-1188 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I32590789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3259.0789S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: As of late, tremendous fields of sorted out, unstructured, and semi-composed data have been made by various foundations around the world and this heterogeneous data all in all implied as enormous data. The prosperity business section has been portrayed by the need to manage the enormous data being made by various sources, which are remarkable for conveying high volumes of heterogeneous data. Distinctive huge data examination gadgets and frameworks have been created for dealing with these monstrous proportions of data, in the human administrations portion. This paper discusses the impact of gigantic data in human administrations, and various gadgets accessible in the Hadoop organic framework for dealing with it. We furthermore explore the hypothetical plan of colossal data examination for social protection which incorporates the data gathering history of different branches, the genome database, electronic prosperity records, content/imagery and clinical decisions sincerely steady system.
Keywords: Big data, Healthcare, Hadoop, Map Reduce.
Scope of the Article: Big Data Analytics