2016
Quintas, A.; Vicente, H.; Novais, P.; Abelha, A.; Santos, M. F.; Machado, J.; Neves, J.
A case based approach to assess waiting time prediction at an intensive care unity Proceedings Article
Em: P., Arezes (Ed.): pp. 29-39, Springer Verlag, 2016, ISSN: 21945357, (cited By 10; Conference of International Conference on Safety Management and Human Factors, 2016 ; Conference Date: 27 July 2016 Through 31 July 2016; Conference Code:180619).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Computation theory; Computer circuits; Decision support systems; Forecasting; Health care; Human engineering; Knowledge representation; Logic programming; Reconfigurable hardware, Case based reasoning, Case-based approach; Healthcare quality; Intensive care; Key feature; Knowledge representation and reasoning; Similarity analysis; Waiting-time; Waiting-time prediction
@inproceedings{Quintas201629,
title = {A case based approach to assess waiting time prediction at an intensive care unity},
author = {A. Quintas and H. Vicente and P. Novais and A. Abelha and M. F. Santos and J. Machado and J. Neves},
editor = {Arezes P.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986268659&doi=10.1007%2f978-3-319-41929-9_4&partnerID=40&md5=14537afce594fb1c8883221af2f7b789},
doi = {10.1007/978-3-319-41929-9_4},
issn = {21945357},
year = {2016},
date = {2016-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {491},
pages = {29-39},
publisher = {Springer Verlag},
abstract = {Waiting time at an intensive care unity stands for a key feature in the assessment of healthcare quality. Nevertheless, its estimation is a difficult task, not only due to the different factors with intricate relations among them, but also with respect to the available data, which may be incomplete, self-contradictory or even unknown. However, its prediction not only improves the patients’ satisfaction but also enhance the quality of the healthcare being provided. To fulfill this goal, this work aims at the development of a decision support system that allows one to predict how long a patient should remain at an emergency unit, having into consideration all the remarks that were just stated above. It is built on top of a Logic Programming approach to knowledge representation and reasoning, complemented with a Case Base approach to computing. © Springer International Publishing Switzerland 2016.},
note = {cited By 10; Conference of International Conference on Safety Management and Human Factors, 2016 ; Conference Date: 27 July 2016 Through 31 July 2016; Conference Code:180619},
keywords = {Artificial intelligence; Computation theory; Computer circuits; Decision support systems; Forecasting; Health care; Human engineering; Knowledge representation; Logic programming; Reconfigurable hardware, Case based reasoning, Case-based approach; Healthcare quality; Intensive care; Key feature; Knowledge representation and reasoning; Similarity analysis; Waiting-time; Waiting-time prediction},
pubstate = {published},
tppubtype = {inproceedings}
}