Ensemble Machine Learning for Predicting 90-Day Outcomes and Analyzing Risk Factors in Acute Kidney Injury Requiring Dialysis
TH Wang, CC Kao, TH Chang - Journal of Multidisciplinary …, 2024 - Taylor & Francis
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 …
real-world clinical data to predict 90-day prognosis, including dialysis dependence and …
Intraoperative renal resistive index as an acute kidney injury biomarker: Development and validation of an automated analysis algorithm
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 …
acute kidney injury (AKI) biomarker. As RRI continues to be studied, its clinical usefulness …
Enhancing Acute Kidney Injury Prediction through Integration of Drug Features in Intensive Care Units
GDM Manalu, MM Christian, S You, H Choi - arXiv preprint arXiv …, 2024 - arxiv.org
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 …
drugs that adversely affect kidney function, is one that has yet to be explored in the critical …
Comparing machine learning algorithms for predicting acute kidney injury
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 …
modeling techniques to predict acute kidney injury (AKI). The purpose of this study was to …
Acute kidney injury risk prediction
K Kashani - Annual update in intensive care and emergency …, 2018 - Springer
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 …
illness, with a substantial impact on patient outcome and hospital costs [1–3]. It has been …
Loop diuretic resistance in a patient with acute heart failure
ZL Cox, JM Testani - Cardiorenal Syndrome in Heart Failure, 2020 - Springer
Diuretic resistance complicating decongestion during acute heart failure hospitalization is an
emerging research topic of interest. Herein, we discuss the issues prohibiting a universal …
emerging research topic of interest. Herein, we discuss the issues prohibiting a universal …
Construction and validation of a risk prediction model for acute kidney injury in patients after cardiac arrest
L Lin, L Chen, Y Jiang, R Gao, Z Wu, W Lv, Y Xie - Renal Failure, 2023 - Taylor & Francis
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 …
(CA-AKI) helps in early preventive interventions. This study aimed to establish and validate a …
Early Prediction of Renal Replacement Therapy Requirement During Icu Stay
M Mahmoud, M Bader-El-Den, J McNicholas… - Available at SSRN … - papers.ssrn.com
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 …
care units (ICUs) has the potential to improve patient outcomes and resource allocation. This …
[HTML][HTML] Precision Dialysis: Leveraging Big Data and Artificial Intelligence
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 …
a multitude of reasons for the unfavorable status quo of dialysis care, such as the …
[HTML][HTML] Predictive value of machine learning for the risk of acute kidney injury (AKI) in hospital intensive care units (ICU) patients: a systematic review and meta …
YH Du, CJ Guan, LY Li, P Gan - PeerJ, 2023 - peerj.com
Background Recent studies suggest machine learning represents a promising predictive
option for patients in intensive care units (ICU). However, the machine learning performance …
option for patients in intensive care units (ICU). However, the machine learning performance …