Healthcare 5.0

Author:

Dhanasekaran P.1,Velusamy Sakthivel2ORCID,Pavithra R.3,Hemawathi 1,Santhosh Kumar 4ORCID

Affiliation:

1. The Kavery Engineering College, India

2. Vellore Institute of Technology, Chennai, India

3. Dr. N.G.P. Institute of Technology, India

4. Sona College of Technology, India

Abstract

Healthcare 4.0 is a term coined by the healthcare sector in response to this transformation. In the present investigation, the authors present a blockchain-based federation learning strategy for smart healthcare, where the edge nodes control the blockchain to avoid a single point of failures and the MIoT gadgets use federated instruction to fully utilize the distributed medical information. The proposed intelligent system uses federated deep extreme neural networks for lung illness prediction. Additionally, for improved lung disease prediction, the proposed model is strengthened using a fused scaled deep extreme machine learning algorithm. The merged scaled federated deep extreme predictive machine learning model is utilized to verify the best cancer illness predictions in the smart healthcare sector 5.0 that has been provided. The results of the indicated fused balanced federation extreme deep learning methodology was 98.3%, surpassing the most recent reported methods.

Publisher

IGI Global

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