An acute kidney injury prediction model based on ensemble learning algorithm

Y Wang, Y Wei, Q Wu, H Yang… - 2019 10th International …, 2019 - ieeexplore.ieee.org
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 …

Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model

Y Wang, Y Wei, H Yang, J Li, Y Zhou, Q Wu - BMC Medical Informatics and …, 2020 - Springer
Abstract Background Acute Kidney Injury (AKI) is a shared complication among Intensive
Care Unit (ICU), marked by high cost, high morbidity and high mortality. As the early …

Artificial Intelligence in Predicting Kidney Function and Acute Kidney Injury

E Uchino, N Sato, Y Okuno - Artificial Intelligence in Medicine, 2022 - Springer
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 …

A machine learning model for acute kidney injury prediction with novel kidney biomarkers

S Narayan - 2022 Second International Conference on Next …, 2022 - ieeexplore.ieee.org
Background: AKI is a serious complication characterized by poor short-and long-term
outcomes in the intensive care unit. An increase in serum creatinine leads to impairment in …

Precisely predicting acute kidney injury with convolutional neural network based on electronic health record data

Y Wang, JP Bao, JQ Du, YF Li - arXiv preprint arXiv:2005.13171, 2020 - arxiv.org
The incidence of Acute Kidney Injury (AKI) commonly happens in the Intensive Care Unit
(ICU) patients, especially in the adults, which is an independent risk factor affecting short …

Continuous prediction of acute kidney injury from patients with sepsis in ICU settings: A sequential transduction model based on attention

G Zeng, J Zhuang, H Huang, Y Gao, Y Liu… - Proceedings of the 2022 …, 2022 - dl.acm.org
Septic patients admitted to the intensive care unit (ICU) are highly susceptible to acute
kidney injury (AKI), which leads to reduced survival in these patients. It is thus necessary to …

Artificial intelligence assisted early warning system for acute kidney injury driven by multi-center ICU database

Z Huang, S Huang, L Chen, WH Weng, L Wang, X Cui… - medRxiv, 2020 - medrxiv.org
Background To improve the performance of early acute kidney injury (AKI) prediction in
intensive care unit (ICU), we developed and externally validated machine learning …

Interpretable and continuous prediction of acute kidney injury in the intensive care

I Vagliano, O Lvova, MC Schut - Public Health and Informatics, 2021 - ebooks.iospress.nl
Acute kidney injury (AKI) is a common and potentially life-threatening condition, which often
occurs in the intensive care unit. We propose a machine learning model based on recurrent …

[HTML][HTML] A prediction and interpretation framework of acute kidney injury in critical care

K Gong, HK Lee, K Yu, X Xie, J Li - Journal of Biomedical Informatics, 2021 - Elsevier
Acute kidney injury (AKI) is a common clinical condition with high mortality and resource
consumption. Early identification of high-risk patients to achieve an appropriate allocation of …

Stratified mortality prediction of patients with acute kidney injury in critical care

Z Xu, Y Luo, P Adekkanattu, JS Ancker… - … 2019: Health and …, 2019 - ebooks.iospress.nl
Abstract Acute Kidney Injury (AKI) is the most common cause of organ dysfunction in
critically ill adults and prior studies have shown AKI is associated with a significant increase …