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Title: A Deep-Big Data Approach to Health Care in the AI Age
Authors: Neves, José
Vicente, Henrique
Esteves, Marisa
Ferraz, Filipa
Abelha, António
Machado, José
Machado, Joana
Neves, João
Ribeiro, Jorge
Sampaio, Lúzia
Keywords: Artificial Intelligence
Decision Support Systems
Medical Imaging
Deep Learning
Logic Programming
Knowledge Representation and Reasoning
Artificial Neural Networks
Big Data
Issue Date: 2018
Publisher: Springer US
Citation: Neves, J., Vicente, H., Esteves, M., Ferraz, F., Abelha, A., Machado, J., Machado, J., Neves, J., Ribeiro, J. & Sampaio L., A Deep-Big Data Approach to Health Care in the AI Age. Mobile Networks and Applications, 23 (4), 1123–1128, 2018.
Abstract: 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.
ISSN: 1383-469X (paper)
1572-8153 (electronic)
Type: article
Appears in Collections:CQE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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