Deep Learning on Healthcare Ecosystem using Blockchain Based Security System

Abstract

For providing immense care on the patient's health, it is obligatory to nurture the patient's health records. This health care circumstance of the patient info is stored using blockchain networks. Distinctive healthcare specialists can access the data via this shared network infrastructure-the healthcare quarter profits immensely from a decentralized and dependable database. The details would be collected and documented securely in the Mongo dB database as encoded chunk data after document validation by the CA server with minimal computation time. The details stored in this database can be accessed using RNN when the user id and password match up with the database. The interface, smart contract, user access management, monitoring, mapping modules are processed to create a blockchain. The patient's details will be collected in the P ATREC chain, and the gathered information is applied to the blockchain, where it is stored in the list of blocks. Then it generates a hash value for that information in the block. Each patient's health details can be stored in their account, which can be shared or allow access by others using smart contact after authentication. Hence, it is mandatory to securely maintain these patient health care details as a single encrypted hash value using blockchain, which cannot access.