UNASSIGNED: @entity177 means that one's kidney have unexpectedly stopped functioning, i.e., once chronic disease is exposed, the presence or degree of @entity8 and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the @entity1 's history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts @entity8 and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely @entity101 , @entity28 , @entity6 , and @entity65 . @entity810 appears abruptly, with a rapid deterioration of the renal function, but is often reversible if it is recognized early and treated promptly. In both situations, i.e., @entity810 and @entity740 , an early intervention can significantly improve the prognosis. The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow one to consider incomplete, unknown, and even contradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 @entity1 with an age average of 51.7  years and the @entity740 was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of @entity740 , since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9-94.2  %, respectively.

A Soft Computing Approach to XXXX Evaluation.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity8 :: ('MESH:D007674', 'Disease') :: ['anomalous kidney function', 'kidney dysfunction'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obesity'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes mellitus'] @entity740 :: ('MESH:D051436', 'Disease') :: ['chronic kidney disease'] @entity177 :: ('MESH:D051437', 'Disease') :: ['Kidney renal failure'] @entity810 :: ('MESH:D058186', 'Disease') :: ['acute kidney injury', 'Acute kidney injury'] @entity65 :: ('MESH:D002318', 'Disease') :: ['cardiovascular complications']
@entity8 :: (MESH:D007674,Disease) :: ['Kidney Diseases']
