Multi-source information fusion for smart health with artificial intelligence

Tao, Xiaohui; Velasquez, Juan D.


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.

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Título según WOS: ID WOS:000794868000001 Not found in local WOS DB
Título de la Revista: INFORMATION FUSION
Volumen: 83-84
Editorial: Elsevier
Fecha de publicación: 2022
Página de inicio: 93
Página final: 95


Notas: ISI