Big Data in Health Care Management System

Ifeanyi Moses Uzowuru¹, Dr. Rakesh D², Ms. Sumalatha³, & Urenna Nwagwu^4

1Msc University: Georgia State University, Georgia²Associate Professor, JSS-Centre for Management Studies, JSS Science & Technology University, Mysuru, India³Store Manager, Aero Club Woodand Store, V. V. Mohalla, Mysore, India⁴University of the Cumberlands, United States
DOI – http://doi.org/10.37502/IJSMR.2023.61110

Abstract

Over the past few decades, the healthcare industry has experienced remarkable growth. The healthcare sector offers medical, preventative, consoling, and other services to patients. As a result, enormous amounts of data are produced. This data was kept on paper in the distant past, when the computers were not in use. But fast digitalization is the present trend. Big data is made up of a lot of data that can’t be handled and stored in the conventional way. This article primarily examines big data deployment strategies in the healthcare industry. The difficulties and resources for implementing big data in the healthcare industry are also hinted to in this research. Additionally, it covers various machine learning algorithms that are helpful in upholding the trade-off between accuracy and efficiency.

Keywords: Big data, Analytics, Healthcare, Machine learning.

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