Multi-source information fusion for smart health with artificial intelligence
Editorial
Article Title | Multi-source information fusion for smart health with artificial intelligence |
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ERA Journal ID | 20983 |
Article Category | Editorial |
Authors | Tao, Xiaohui (Author) and Velasquez, Juan D. (Author) |
Journal Title | Information Fusion |
Journal Citation | 83-84, pp. 93-95 |
Number of Pages | 3 |
Year | 2022 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 1566-2535 |
1872-6305 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.inffus.2022.03.010 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S1566253522000343 |
Abstract | 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 multi-source 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. |
Keywords | Information fusion, Artificial intelligence, Smart health, Multi-source data |
ANZSRC Field of Research 2020 | 460299. Artificial intelligence not elsewhere classified |
460507. Information extraction and fusion | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Mathematics, Physics and Computing |
University of Chile, Chile | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7539/multi-source-information-fusion-for-smart-health-with-artificial-intelligence
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