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Multi-source information fusion for smart health with artificial intelligence
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NSTL
Elsevier
The rapid developments in Artificial Intelligence present an opportunity for the research community to provide and advance Smart Health for the well-being of our society. By considering the availability of multisource information and heterogeneous data in the era of Big Data, this Special Issue explores the theories, methodologies and possible breakthroughs that have designed and adopted information fusion for Smart Health powered by recent Artificial Intelligence advances. Specifically, this Special Issue focuses on three questions; How to achieve and realize human-level intelligence in Smart Health, How to achieve and benefit Smart Health from a multi-disciplinary balance, and How to utilize the power of Big Data for Smart Health. The Special Issue is a great success, with a small number of quality studies carefully selected from an overwhelming amount of contributions.
Information fusionArtificial intelligenceSmart healthMulti-source data
Xiaohui Tao、Juan D. Velasquez
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School of mathematics, Physics and Computing, University of Southern Queensland
Department of Industrial Engineering, University of Chile, Instituto Sistemas Complejos de Ingenieria
NSTL
Elsevier
