Big Data Analytics in Healthcare
Sakshi Raj1, Swati Sharma2

1Sakshi Raj, School of Computing Science & Engineering Galgotias University Yamuna Expressway, Greater Noida, Gautam Buddh Nagar, (Uttar Pradesh), India.
1Miss Swati Sharma, Assistant Professor, School of Computing Science & Engineering Galgotias University Yamuna Expressway, Greater Noida, Gautam Buddh Nagar, (Uttar Pradesh), India.
Manuscript received on August 20, 2020. | Revised Manuscript received on August 29, 2020. | Manuscript published on September 10, 2020. | PP: 317-319 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.I7304079920 | DOI: 10.35940/ijitee.I7304.0991120
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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: Today, data is constantly increasing and it becomes very hard to handled data skilfully in the usual way. It is also quite expensive, unproductive and very hard to manage data. That’s the reason why the super-important technologies are entering in the work place. In the medical field data is increasing day by day and it becomes very hard to manage, analysis and store data in paper pen work. Recent, big data technology, plays major role in the management, organization and analysis of data. Big data technology has been applied towards improving patient profile of care delivery. Biomedical image, generating each day in huge number can be analyzed better with big data technology along with machine learning and artificial intelligence. Research rate in this field has the potential to provide meaningful result in identification of diseases. Change in DNA can predict many future chronic disease. Research also demanded useful, updated, and accurate data. . It becomes possible for public to identify their health risk by their own. 
Keywords: Big data, Big data analytics, Healthcare, NGS, Personalized medicine.