2016
Faria, R.; Vicente, H.; Abelha, A.; Santos, M.; Machado, J.; Neves, J.
A case-based approach to nosocomial infection detection Proceedings Article
Em: J.M., Rutkowski L. Tadeusiewicz R. Zurada (Ed.): pp. 159-168, Springer Verlag, 2016, ISSN: 03029743, (cited By 2; Conference of 15th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016 ; Conference Date: 12 June 2016 Through 16 June 2016; Conference Code:177089).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Computation theory; Computer circuits; Decision support systems; Diagnosis; Health care; Knowledge representation; Logic programming; Reconfigurable hardware; Soft computing, Case based reasoning, Case-based approach; Clinical decision support systems; Explicit treatments; Healthcare facility; Knowledge representation and reasoning; Nosocomial infection; Number of peoples; Similarity analysis
@inproceedings{Faria2016159,
title = {A case-based approach to nosocomial infection detection},
author = {R. Faria and H. Vicente and A. Abelha and M. Santos and J. Machado and J. Neves},
editor = {Rutkowski L. Tadeusiewicz R. Zurada J.M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84977478473&doi=10.1007%2f978-3-319-39384-1_14&partnerID=40&md5=e0e813cd5ebc01c8fb96823371bff0ff},
doi = {10.1007/978-3-319-39384-1_14},
issn = {03029743},
year = {2016},
date = {2016-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {9693},
pages = {159-168},
publisher = {Springer Verlag},
abstract = {The nosocomial infections are a growing concern because they affect a large number of people and they increase the admission time in healthcare facilities. Additionally, its diagnosis is very tricky, requiring multiple medical exams. So, this work is focused on the development of a clinical decision support system to prevent these events from happening. The proposed solution is unique once it caters for the explicit treatment of incomplete, unknown, or even contradictory information under a logic programming basis, that to our knowledge is something that happens for the first time. © Springer International Publishing Switzerland 2016.},
note = {cited By 2; Conference of 15th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016 ; Conference Date: 12 June 2016 Through 16 June 2016; Conference Code:177089},
keywords = {Artificial intelligence; Computation theory; Computer circuits; Decision support systems; Diagnosis; Health care; Knowledge representation; Logic programming; Reconfigurable hardware; Soft computing, Case based reasoning, Case-based approach; Clinical decision support systems; Explicit treatments; Healthcare facility; Knowledge representation and reasoning; Nosocomial infection; Number of peoples; Similarity analysis},
pubstate = {published},
tppubtype = {inproceedings}
}