Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/58073

TitleA Deep-Big Data approach to health care in the AI age
Author(s)Neves, José
Vicente, Henrique
Esteves, Marisa
Ferraz, Filipa
Abelha, António
Machado, José Manuel
Machado, Joana
Neves, João
Ribeiro, Jorge
Sampaio, Lúzia
KeywordsArtificial intelligence
Artificial neural networks
Big data
Decision support systems
Deep learning
Knowledge representation and reasoning
Logic programming
Medical imaging
Issue date2018
PublisherSpringer
JournalMobile Networks and Applications
Abstract(s)The intersection of these two trends is what we call The Issue and it is helping businesses in every industry to become more efficient and productive. One’s aim is to have an insight into the development and maintenance of comprehensive and integrated health information systems that enable sound policy and effective health system management in order to improve health and health care. Undeniably, different sorts of technologies have been developed, each with their own advantages and disadvantages, which will be sorted out by attending at the impact that Artificial Intelligence and Decision Support Systems have to everyone in the healthcare sector engaged to quality-of-care, i.e., making sure that doctors, nurses, and staff have the training and tools they need to do their jobs.
TypeArticle
URIhttp://hdl.handle.net/1822/58073
DOI10.1007/s11036-018-1071-6
ISSN1383-469X
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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