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Effective Implementation of Data Segregation and Extraction Using Big Data in E-Health Insurance as a Service


Affiliations
1 Department of Computer Science, Sathyabama University, Chennai, India
2 Sathyabama University, Chennai, India
     

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Big data is not implemented in as full way in real-time; it is still in a Research. People do not know what to do with Enormous Data. Insurance Agencies are actively participating for the Analysis of Patient's Data and used to Extraction of Information which is useful. Study of Discharge Summary, Drug and Pharma, Diagnostics Details, Allergies, Doctors Report, Medical History and Insurance policies are made and Useful Data is extracted. So Analyzing more number of Factors like Disease Types with its Corresponding Reasons, Insurance policy Details with Sanctioned Amount, Family Grade wise Segregation.

Keywords

Big Data, Extraction, Segregation, E-Health Insurance.
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Abstract Views: 184

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  • Effective Implementation of Data Segregation and Extraction Using Big Data in E-Health Insurance as a Service

Abstract Views: 184  |  PDF Views: 1

Authors

Gelivi Harish
Department of Computer Science, Sathyabama University, Chennai, India
J. Andrews
Sathyabama University, Chennai, India

Abstract


Big data is not implemented in as full way in real-time; it is still in a Research. People do not know what to do with Enormous Data. Insurance Agencies are actively participating for the Analysis of Patient's Data and used to Extraction of Information which is useful. Study of Discharge Summary, Drug and Pharma, Diagnostics Details, Allergies, Doctors Report, Medical History and Insurance policies are made and Useful Data is extracted. So Analyzing more number of Factors like Disease Types with its Corresponding Reasons, Insurance policy Details with Sanctioned Amount, Family Grade wise Segregation.

Keywords


Big Data, Extraction, Segregation, E-Health Insurance.