Welcome to the InfoSci Platform
Healthcare 5.0: Intelligent Lung Cancer Disease Prediction Model Using Blockchain-Based Federated Learning Method

Healthcare 5.0: Intelligent Lung Cancer Disease Prediction Model Using Blockchain-Based Federated Learning Method

P. Dhanasekaran, Sakthivel Velusamy, R. Pavithra, Hemawathi, Santhosh Kumar
Copyright: © 2024 |Pages: 22
ISBN13: 9798369310823|EISBN13: 9798369310830
DOI: 10.4018/979-8-3693-1082-3.ch009
Cite Chapter Cite Chapter

MLA

Dhanasekaran, P., et al. "Healthcare 5.0: Intelligent Lung Cancer Disease Prediction Model Using Blockchain-Based Federated Learning Method." Federated Learning and AI for Healthcare 5.0, edited by Ahdi Hassan, et al., IGI Global, 2024, pp. 156-177. https://doi.org/10.4018/979-8-3693-1082-3.ch009

APA

Dhanasekaran, P., Velusamy, S., Pavithra, R., Hemawathi, & Santhosh Kumar. (2024). Healthcare 5.0: Intelligent Lung Cancer Disease Prediction Model Using Blockchain-Based Federated Learning Method. In A. Hassan, V. Prasad, P. Bhattacharya, P. Dutta, & R. Damaševičius (Eds.), Federated Learning and AI for Healthcare 5.0 (pp. 156-177). IGI Global. https://doi.org/10.4018/979-8-3693-1082-3.ch009

Chicago

Dhanasekaran, P., et al. "Healthcare 5.0: Intelligent Lung Cancer Disease Prediction Model Using Blockchain-Based Federated Learning Method." In Federated Learning and AI for Healthcare 5.0, edited by Ahdi Hassan, et al., 156-177. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1082-3.ch009

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.