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 …

Objective Intraoperative Doppler-determined renal resistive index (RRI) is a promising early
acute kidney injury (AKI) biomarker. As RRI continues to be studied, its clinical usefulness …

The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or
drugs that adversely affect kidney function, is one that has yet to be explored in the critical …

Prior studies have used vital signs and laboratory measurements with conventional
modeling techniques to predict acute kidney injury (AKI). The purpose of this study was to …

Acute kidney injury (AKI) is considered one of the most common complications of acute
illness, with a substantial impact on patient outcome and hospital costs [1–3]. It has been …

Diuretic resistance complicating decongestion during acute heart failure hospitalization is an
emerging research topic of interest. Herein, we discuss the issues prohibiting a universal …

Objective Identifying patients at high risk for cardiac arrest-associated acute kidney injury
(CA-AKI) helps in early preventive interventions. This study aimed to establish and validate a …

Purpose: Early prediction of Renal Replacement Therapy (RRT) requirements in intensive
care units (ICUs) has the potential to improve patient outcomes and resource allocation. This …

The long-term mortality of patients with kidney failure remains unacceptably high. There are
a multitude of reasons for the unfavorable status quo of dialysis care, such as the …

Background Recent studies suggest machine learning represents a promising predictive
option for patients in intensive care units (ICU). However, the machine learning performance …