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|Title: ||An Assessment of Chronic Kidney Diseases|
|Authors: ||Neves, José|
Martins, M. Rosário
|Editors: ||Rocha, Álvaro|
Correia, Ana M.
Reis, Luís P.
Knowledge Representation and Reasoning
Artificial Neural Networks
|Issue Date: ||2015|
|Publisher: ||Springer International Publishing|
|Citation: ||Neves, J., Martins, M.R., Vicente, H., Neves, J., Abelha, A. & Machado, J., An Assessment of Chronic Kidney Diseases. In Á. Rocha, A.M. Correia, S. Costanzo & L.P. Reis, Eds., New Contributions in Information Systems and Technologies – Vol. 1, Advances in Intelligent Systems and Computing, Vol. 353, pp. 179–191, Springer International Publishing, Cham, Switzerland, 2015.|
|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 Fil-tration 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 pro-gression of CKDs, either by reducing and prevent the development of complica-tions, or by reducing the risk of CardioVascular Illnesses. Acute Renal Failure (ARF) can occur over hours to days based on the underlying mechanism of in-jury and relative health of the individual. ARF is often reversible if it is recog-nized 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 pro-actively.|
|Appears in Collections:||CQE - Publicações - Capítulos de Livros|
MED - Publicações - Capítulos de Livros
QUI - Publicações - Capítulos de Livros
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