2015
Neves, J.; Martins, M. Rosário; Vicente, H.; Neves, J.; Abelha, A.; Machado, J.
An assessment of chronic kidney diseases Proceedings Article
Em: A., Correia A. M. Rocha A. Rocha (Ed.): pp. 179-191, Springer Verlag, 2015, ISSN: 21945357, (cited By 2; Conference of World Conference on Information Systems and Technologies, WorldCIST 2015 ; Conference Date: 1 April 2015 Through 3 April 2015; Conference Code:115919).
Resumo | Links | BibTeX | Etiquetas: Artificial neuronal network; Chronic kidney disease; Glomerular filtration rate; Kidney dysfunction; Kidney function; Knowledge representation and reasoning; Mechanism of injury; Urinary sediment, Diagnosis, Health care; Information systems; Knowledge representation; Logic programming; Neurons
@inproceedings{Neves2015179,
title = {An assessment of chronic kidney diseases},
author = {J. Neves and M. Rosário Martins and H. Vicente and J. Neves and A. Abelha and J. Machado},
editor = {Correia A. M. Rocha A. Rocha A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926295620&doi=10.1007%2f978-3-319-16486-1_18&partnerID=40&md5=ed38e161692c5017fd25d6a9f5d92586},
doi = {10.1007/978-3-319-16486-1_18},
issn = {21945357},
year = {2015},
date = {2015-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {353},
pages = {179-191},
publisher = {Springer Verlag},
abstract = {Once kidney disease is exposed, the presence or degree of kidney dysfunction and its progression are assessed, and the underlying syndrome may be diagnosed. Although the patient`s history and corporeal examination may be useful, some key information is obtained from valuation of the Glomerular Filtration Rate, and analysis of the urinary sediment. On the one hand, Chronic Kidney Diseases (CKDs) depicts anomalous kidney function and/or its makeup. On the other hand, there is evidence that treatment may avoid or delay the progression of CKDs, either by reducing and prevent the development of complications, or by reducing the risk of CardioVascular Illnesses. Acute Renal Failure (ARF) can occur over hours to days based on the underlying mechanism of injury and relative health of the individual. ARF is often reversible if it is recognized early and treated promptly. This is the reason behind our compromise in presenting this work, that aims at the development of an early diagnosis system to monitor the occurrence of the disease, and therefore to allow one to act proactively. © Springer International Publishing Switzerland 2015.},
note = {cited By 2; Conference of World Conference on Information Systems and Technologies, WorldCIST 2015 ; Conference Date: 1 April 2015 Through 3 April 2015; Conference Code:115919},
keywords = {Artificial neuronal network; Chronic kidney disease; Glomerular filtration rate; Kidney dysfunction; Kidney function; Knowledge representation and reasoning; Mechanism of injury; Urinary sediment, Diagnosis, Health care; Information systems; Knowledge representation; Logic programming; Neurons},
pubstate = {published},
tppubtype = {inproceedings}
}