Nivedita Das

Work place: Kiit University, Bhubaneswar, India



Research Interests: Human-Computer Interaction, Computer Architecture and Organization, Image Processing, Data Compression, Data Structures and Algorithms


Nivedita Das, is a CSI Accredited Student. She is continuing her studies in School of Computer Engineering as a M.Tech postgraduate at KIIT University, Bhubaneswar. Her research areas include Data Analytics, Big Data and Data Mining. Her paper “A Big Step for Prediction of HIV/AIDS with Big Data Tools” has been accepted in “IC4S 2017”,SCOPUS Indexed. She can be reached at

Author Articles
Big Data Analytics for Medical Applications

By Nivedita Das Leena Das Siddharth Swarup Rautaray Manjusha Pandey

DOI:, Pub. Date: 8 Feb. 2018

Big Data is an accumulation of data sets which are abundant and intricate in character. They comprise both structured and unstructured data that evolve abundant, so speedy they are not convenient by classical relational database systems or current analytical tools. Big Data Analytics is not linearly able to expand. It is a predefined schema. Now big data is very helpful for backup of data not for everything else. There is always a data introducing. It also helps to solve India’s big problems. It also helps to fill the data gap. Health care is the conservation or advancement of health along the avoidance, interpretation and medical care of disorder, bad health, abuse, and other substantial and spiritual deterioration in mortal. Health care is expressed by health experts in united health experts, specialists, physician associates, mid-wife, nursing, antibiotic, pharmacy, psychology and other health. This paper focuses on providing information in the area of big data analytics and its application in medical domain. Further it includes introduction, Challenging aspects and concerns, Big Data Analytics in use, Technical Specification, Research application, Industry application and Future applications.

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