Citation

Ramanathan, Thirumalaimuthu Thirumalaiappan and Hossen, Md. Jakir and Sayeed, Md. Shohel (2022) Blockchain integrated multi-agent system for breast cancer diagnosis. Indonesian Journal of Electrical Engineering and Computer Science, 26 (2). p. 998. ISSN 2502-4752

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Abstract

The integration of multi-agent system and blockchain technology can be beneficial to healthcare applications by providing intelligent data analysis with security. This paper presents an architecture that integrates multi-agent learning system and blockchain technology to support breast cancer diagnosis in a secured manner. The proposed system is based on a parallel hybrid fuzzy logic approach for supporting the prediction of breast cancer disease. The proposed system showed a classification accuracy of 96.49% in breast cancer diagnosis when testing with the Wisconsin Diagnostic Breast Cancer dataset. The blockchain is used to provide agent security in the proposed system to ensure that the only trusted and reputed agents are participated in the decision-making process.

Item Type:	Article
Uncontrolled Keywords:	Artificial intelligence, Blockchain technology, Data classification, Machine learning, Multi-agent system
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics Q Science > QH Natural history > QH301 Biology
Divisions:	Faculty of Engineering and Technology (FET) Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Nov 2022 01:55
Last Modified:	03 Nov 2022 01:55
URII:	http://shdl.mmu.edu.my/id/eprint/10218

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