Purpose Acute kidney injury (AKI) is a prevalent and detrimental condition in intensive care
unit patients. Most AKI predictive models only predict creatinine-triggered AKI (AKI Cr) and …

Background: Open heart surgeries are a common surgical approach among patients with
heart disease. Acute kidney injury (AKI) is one of the most common postoperative …

The increasing use of electronic platforms in healthcare has resulted in the generation of
unprecedented amounts of data in recent years. The amount of data available to clinical …

Acute kidney injury (AKI) is a disease defined as an abrupt decline in kidney function and is
a common complication in hospitalized patients with high clinical significance. Recently, a …

Chronic kidney disease (CKD) or renal illness is the slow decline in the effective function of
the kidney over many years. Heart and blood vascular disorders are both risk factors for …

Background Acute kidney injury can be mitigated if detected early. There are limited
biomarkers for predicting acute kidney injury (AKI). In this study, we used public databases …

Acute Kidney Injury (AKI), a common disease in Intensive Care Unit (ICU) patients, is related
to high cost, morbidity and mortality. The early prediction of AKI is critical for improving …

Background Currently, very few preventive or therapeutic strategies are used for mechanical
ventilation (MV)-associated severe acute kidney injury (AKI). Objectives We developed …

Background Volume overload is a common complication encountered in hospitalized
patients, and the mainstay of therapy is diuresis. Unfortunately, the diuretic response in …

Several algorithms for learning the structure of dynamic Bayesian networks (DBNs) require
an a priori ordering of variables, which influences the determined graph topology. However …