EFFECTIVE IMPLEMENTATION OF DATA SEGREGATION & EXTRACTION USING BIG DATA IN E - HEALTH INSURANCE

In the EXISTING SYSTEM, 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. In the PROPOSED SYSTEM, Insurance Agencies are actively participating for the Analysis of Patient's Data and used to Extraction some Useful Information. Analysis of Discharge Summary, Drug & Pharmacy, Diagnostics Details, Doctors Report, Medical History, Allergies & Insurance policies are made and Useful Data is extracted. In the MODIFICATION, We are analyzing more number of Factors like Disease Types, Diagnosis, Treatment Methodologies, with its Corresponding Reasons, Insurance policy Details with Sanctioned Amount, Family Grade wise Segregation.

  • Project Category : IEEE Projects
  • Project Year : 2014-2015
  • Department
  • M.E(Computer Science), M.E(SOFTWATE ENGG), MCA,
  • Domain
  • Data Mining,
  • Technology
  • Java,
  • Avilable city
  • Chennai,

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AADHITYAA INFOMEDIA SOLUTIONS, T.NAGAR

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