INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive deterioration of
kidney functions. However, the impairment is irreversible and imperceptible up until the …

… Here, we report our comprehensive mutation analysis of both the PKD1 and PKD2 genes
in 700 unrelated ADPKD patients by means of direct sequencing, followed by quantitative …

… disease. In this chapter, the potential of individual machine learning algorithms is analyzed
for the prediction of severe kidney diseases. The kidney is known to be one of the most …

… Results: Our analysis identified 176 and 50 shared DEGs in … previously reported to be involved
in kidney disease. Enrichment … comprehensive insights into the molecular mechanisms of …

… The UCI machine learning repository’s chronic kidney disease dataset was used in this
study. The dataset has 400 records, each composed of a set of 25 attributes [14]. The ‘…

… This systematic review provides a comprehensive overview of the current literature
pertaining to the prevalence of hyperuricemia associated with CKD patients worldwide. In CKD …

… Here, we describe a comprehensive mutation screen and evaluation of UCV in the CRISP
ADPKD population. These data are essential to analyze the results of the study, 15 , 27 and …

… In addition, the relationships reported in the existing studies between some known risk factors
and kidney stone recurrence are inconsistent [12]. Thus, the aim of this meta-analysis was …

… kidney disease but also predicts the occurrence of disease by analysing the food habits of
people at Visakhapatnam [5]. The analysis … The statistical analysis of the machine learning …

… of chronic kidney disease (CKD) epidemiology, but data for morbidity and mortality of this
disease are … disease and gout attributable to impaired kidney function, for the Global Burden of …