
Big Data Analytics in Healthcare
Author(s) -
S. Saran Raj,
Mak Sharma
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7304.0991120
Subject(s) - big data , data science , computer science , identification (biology) , field (mathematics) , analytics , health care , work (physics) , data analysis , emerging technologies , risk analysis (engineering) , data mining , artificial intelligence , engineering , medicine , mechanical engineering , botany , mathematics , pure mathematics , economics , biology , economic growth
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.