A Comprehensive Study of Various Techniques for Big Data Analytics in Healthcare

Main Article Content

Ashok Kumar Yadav, Ajay Kumar, Raj Kumar, Jitender Tanwar , Ramnaresh Yadav

Abstract

'Enormous information' is gigantic measures of data that can do something amazing. Different hotspots for massive data in the medical care business include emergency clinical assessment outcomes, clinic data, patient clinical records and IoT gadgets. Biomedical examination also generates a significant amount of substantial data that is useful to public health services. As a result, several businesses, including the medical care industry, are figuring out how to transform this potential into improved services and financial profits. Modern medical service associations may upset clinical therapies (treatments) and personalized medication with a robust blend of bio-medical and medical services information. Huge Data examination can work on understanding results, advance and customize care, further develop supplier associations with patients, and lessen clinical spending. This paper discuss analytic techniques used in Big Data healthcare.

Article Details

How to Cite
Ashok Kumar Yadav, et al. (2023). A Comprehensive Study of Various Techniques for Big Data Analytics in Healthcare. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 3585–3593. https://doi.org/10.17762/ijritcc.v11i9.9579
Section
Articles