Acute kidney disease (AKD) comprises acute kidney injury (AKI). However, whether the AKD
staging system has prognostic values among AKI patients with different baseline estimated …

Objective Machine learning methods may have better or comparable predictive ability than
traditional analysis. We explore machine learning methods to predict the likelihood of acute …

Acute kidney injury (AKI) is a common complication among oncology patients associated
with lower remission rates and higher mortality. To reduce the impact of this condition, we …

Acute kidney injury (AKI) is a sudden onset of kidney damage. Currently, there is no hybrid
model predicting AKI that takes advantage of two types of data. In this research, a novel …

The widescale adoption of electronic health record (EHR) technology has led to an
unprecedented accumulation of medical data, such that petabytes of patient information are …

Purpose Our objectives were to (1) employ ensemble machine learning algorithms utilizing
real-world clinical data to predict 90-day prognosis, including dialysis dependence and …

Background Due to the convenience of serum creatinine (SCr) monitoring and the relative
complexity of urine output (UO) monitoring, most studies have predicted acute kidney injury …

In recent years, biology and precision medicine have benefited from major advancements in
generating large-scale molecular and biomedical datasets and in analyzing those data …

Objective Acute kidney injury (AKI) is increasingly recognized as a source of poor patient
outcomes after cardiac surgery. The purpose of the present report is to provide perioperative …

In critical care, intensivists are required to continuously monitor high dimensional vital signs
and lab measurements to detect and diagnose acute patient conditions. This has always …