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Blockchain technology: A DNN token‐based approach in healthcare and COVID‐19 to generate extracted data by Basetty Mallikarjuna; Gulshan Shrivastava; Meenakshi Sharma is a Computer Science article available to read on EtoBox.

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## Abstract The healthcare technologies in COVID‐19 pandemic had grown immensely in various domains. Blockchain technology is one such turnkey technology, which is transforming the data securely; to store electronic health records (EHRs), develop deep learning algorithms, access the data, process the data between physicians and patients to access the EHRs in the form of distributed ledgers. Blockchain technology is also made to supply the data in the cloud and contact the huge amount of healthcare data, which is difficult and complex to process. As the complexity in the analysis of data is increasing day by day, it has become essential to minimize the risk of data complexity. This paper supports deep neural network (DNN) analysis in healthcare and COVID‐19 pandemic and gives the smart contract procedure, to identify the feature extracted data (FED) from the existing data. At the same time, the innovation will be useful to analyse future diseases. The proposed method also analyze the existing diseases which had been reported and it is extremely useful to guide physicians in providing appropriate treatment and save lives. To achieve this, the massive data is integrated using Python s

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Author

Basetty Mallikarjuna; Gulshan Shrivastava; Meenakshi Sharma

Publisher

Wiley

Published

2021

Language

EN

Field

Computer Science (Physical Sciences)