Multi-attribute feature fusion algorithm for blockchain communications in healthcare systems using machine intelligence

【Author】 Li, Yan; Tan, Zheng; Yang, Shiqing; Kaur, Mandeep

【Source】SOFT COMPUTING

【影响因子】3.732

【Abstract】The relevance of data fusion in handling big data in blockchain-enabled healthcare systems is of utmost importance in today's data-driven healthcare landscape. As healthcare systems continue to generate vast amounts of data from various sources, the need to effectively manage and analyze this data becomes crucial for informed decision-making, improved patient outcomes, and efficient healthcare operations. The gaps for time complexity and inaccuracy of feature fusion in the existing algorithms have been identified by surveying the existing literature and this article is proposing a multi-attribute feature fusion algorithm blockchain communications based on ant colony neural networks (ACNN) to overcome the problems in the state-of-the-arts. This article applies the feature decomposition method for communication between blockchain-based healthcare transactions, and optimizes the information based on the data characteristics. The proposed algorithm identifies the properties and attributes of the data by making use of rough set theory. A genetic algorithm is also used to improve the ACNN which enhances the search ability by minimizing the space complexity of the solution space. The multi-attribute fusion mechanism extracts the information from the blockchain transactions and filters out the characteristics of data using the proposed method, and achieves better accuracy. The empirical results show that the fusion error of the blockchain communications based on multi-attribute feature fusion algorithm is relatively small and stable. The outcomes of the proposed fusion mechanism are promising and it has been found that the proposed mechanism produces accurate results with minimal errors. The average energy consumption rate during the transition of data is below 2% which reflects the viability of the proposed fusion mechanism for blockchain-based healthcare transactions.

【Keywords】Healthcare systems; IoT (Internet of Things); Multi-attribute fusion algorithm (MAFFA); Blockchain communications; Data fusion mechanism

【发表时间】2023 2023 SEP 15

【收录时间】2023-09-28

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-医疗领域