A Survey on Challenging Capabilities of Big Data Analytics in Healthcare

Authors

  • D.R. Krithika
  • Dr.K.Rohini

DOI:

https://doi.org/10.29027/IJIRASE.v4.i1.2020.593-597

Keywords:

Bigdata Analytics, Healthcare, Machine Learning, EHR-Electronic health record, IMIInnovative Medicines Initiative

Abstract

The term big data analytics is a huge volume of data which is difficult to process traditional techniques. Most of the hospitals do not maintain all necessary clinical data. Electronic health record (EHR) is a very important role to maintain a large volume of patient’s data in the healthcare industry. Better outcomes for using big data analytics the Innovative Medicines Initiative (IMI) projects in healthcare. In machine learning the rules processing in edge level and healthcare cloud. The edge level is like sensor devices healthcare equipment, wearables, patient monitoring machine. It will alert the patient. Healthcare rules cloud will analysis patients sensor collected data and forecast if any health issue takes place. In this paper, we discuss big data in the healthcare industry.

Author Biographies

D.R. Krithika

Research Scholar
Department of Computer Science,
Vels Institute of Science Technology and Advanced Studies, Chennai

Dr.K.Rohini

Associate Professor, Department of Computer Science,
Vels Institute of Science Technology and Advanced Studies, Chennai

Additional Files

Published

15-07-2020