2018
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 Journal Article
Em: Mobile Networks and Applications, vol. 23, não 4, pp. 1123-1128, 2018, ISSN: 1383469X, (cited By 24).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Decision support systems; Deep learning; Health care; Information management; Knowledge representation; Logic programming; Medical computing; Medical imaging; Neural networks; Personnel training, Big data, Health systems; Healthcare sectors; Integrated health information systems; Knowledge representation and reasoning; Quality of care
@article{Neves20181123,
title = {A Deep-Big Data Approach to Health Care in the AI Age},
author = {J. Neves and H. Vicente and M. Esteves and F. Ferraz and A. Abelha and J. Machado and J. Machado and J. Neves and J. Ribeiro and L. Sampaio},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049118338&doi=10.1007%2fs11036-018-1071-6&partnerID=40&md5=29e3778023e191c94a2f9373999bab44},
doi = {10.1007/s11036-018-1071-6},
issn = {1383469X},
year = {2018},
date = {2018-01-01},
journal = {Mobile Networks and Applications},
volume = {23},
number = {4},
pages = {1123-1128},
publisher = {Springer New York LLC},
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. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.},
note = {cited By 24},
keywords = {Artificial intelligence; Decision support systems; Deep learning; Health care; Information management; Knowledge representation; Logic programming; Medical computing; Medical imaging; Neural networks; Personnel training, Big data, Health systems; Healthcare sectors; Integrated health information systems; Knowledge representation and reasoning; Quality of care},
pubstate = {published},
tppubtype = {article}
}
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. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.