Healthcare Data Management and Analytics using Big Data Tools
Subham Singh Chauhan1, Iraa Sharma2, Ishan Kanungo3, Gurpartap Singh4
1S.Dhanasekar*, Vellore Institute of Technology , Chennai Campus, Chennai (Tamil Nadu), India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 54-57 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26581081219/2019©BEIESP | DOI: 10.35940/ijitee.L2658.1081219
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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: Data have been expanding enormously in latest years, enormous amounts of structured, unstructured and semi-structured information have been produced in various areas around the globe, collectively known as big data. The health sector has produced enormous amounts of heterogeneous information that must be handled and analyzed. In this paper, we discuss about the characteristics of data generated by healthcare and how to manage this data using big data tools. We also explore tools to analyse this data and discuss the implementations of this data. A conceptual architecture of big data analytics is also given, which includes data cleaning, data injection, data management, data mining, data visualization and data analysis.
Keywords: Healthcare, Big Data, Data Management, Data Analytics
Scope of the Article: Healthcare Informatics