首页|Study Findings from Changchun University of Science and Technol- ogy Broaden Understanding of Machine Learning (A Disease Diag- nosis System for Smart Healthcare Based On Fuzzy Clustering and Battle Royale Optimization)
Study Findings from Changchun University of Science and Technol- ogy Broaden Understanding of Machine Learning (A Disease Diag- nosis System for Smart Healthcare Based On Fuzzy Clustering and Battle Royale Optimization)
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NETL
NSTL
Elsevier
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “The ongoing growth of the Internet of Things and machine learning technology have provided increased motivation for the development of smart healthcare. In this study, a disease diagnosis system is proposed for remote identification and early prediction in smart healthcare environments.” Financial support for this research came from Jilin Provincial Department of Science and Technology, China. Our news editors obtained a quote from the research from the Changchun University of Science and Technology, “The originality of this study resides in the innovative implementation of ensuing modules to improve diagnostic accuracy of the system. First, fuzzy clustering based on the forest optimization algorithm is employed to detect outliers and a self-organizing fuzzy logic classifier is applied to supplement missing data in electronic medical records (EMRs). A feature selection technique using the battle royale optimization algorithm is then developed to remove redundant information and identify optimal EMR features. The refined and fused data are further classified using an eigenvalue-based machine learning algorithm to determine whether a patient exhibits a certain disease.”
ChangchunPeople’s Republic of ChinaAsiaAlgorithmsCyborgsDiagnostics and ScreeningEmerging TechnologiesFuzzy LogicHealth and MedicineMachine LearningChangchun University of Science and Technology
NETL
NSTL
Elsevier
