Big Data and Cloud Paradigm for Health Care Reports Monitoring and Performance Analysis

Big data is basically the data which is collected from different sources, which have basically five “V” characteristics viz; velocity, volume, value, variety and veracity. When we define the big data in artificial intelligence term it is called as big data analysis. This is the data of large size wh...

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Bibliographic Details
Published inNeuroQuantology Vol. 20; no. 2; p. 533
Main Author Chattopadhyay, Saumitra
Format Journal Article
LanguageEnglish
Published Bornova Izmir NeuroQuantology 24.05.2023
Subjects
Access control
Artificial intelligence
Big Data
Classification
Cloud computing
Communication
Confidentiality
Data analysis
Datasets
Decision making
Health care industry
Information sharing
Literature reviews
Machine learning
Medical research
Medical science
Monitoring systems
Performance evaluation
Predictive analytics
Privacy
Real time
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Summary:Big data is basically the data which is collected from different sources, which have basically five “V” characteristics viz; velocity, volume, value, variety and veracity. When we define the big data in artificial intelligence term it is called as big data analysis. This is the data of large size which can be processed, analysed and generated by the digital tools and different information learning systems to generate useful, predictable, descriptive data analysis. Big data is most widely used in medical science to calculate or predict the data and to communicate big/huge records over the cloud in real time span. In this article we discuss a hybrid approach to distribute the medical data, in this approach we embed PSM-PBC, DSV-CP and LFR-CM models to get a parallel framework which improve the accuracy and classification time of retrieval of data in real time.
ISSN:1303-5150
DOI:10.48047/nq.2022.20.2.NQ22346