A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU

Y Zhang, Z Zhang, X Liu, L Zha, Fengcong, X Su… - … on Intelligent Computing, 2023 - Springer
Abstract Acute Kidney Injury (AKI) is common in the intensive care units (ICUs) and is
associated with an increased risk of hospital mortality and additional healthcare-related …

A novel hybrid deep learning architecture for predicting acute kidney injury using patient record data and ultrasound kidney images

S Shi - Applied Artificial Intelligence, 2021 - Taylor & Francis
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 …

Artificial intelligence to predict AKI: is it a breakthrough?

JA Kellum, A Bihorac - Nature Reviews Nephrology, 2019 - nature.com
Artificial intelligence to predict AKI: is it a breakthrough? | Nature Reviews Nephrology Skip to
main content Thank you for visiting nature.com. You are using a browser version with limited …

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 …

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 …

[PDF][PDF] Computer and Information Sciences

M Fathima Begum, S Narayan - Journal of King Saud University …, 2023 - researchgate.net
abstract Acute kidney disease is a serious complication characterized by poor short-and
long-term outcomes in the intensive care unit. Impairment in renal function of the kidney …

[HTML][HTML] Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected …

N Sato, E Uchino, R Kojima, S Hiragi… - Computer Methods and …, 2021 - Elsevier
Background Acute kidney injury (AKI) occurs frequently in in-hospital patients, especially in
the intensive care unit (ICU), due to various etiologies including septic shock. It is clinically …

Data Analytics in Acute Kidney Injury Prediction: Opportunities and Challenges

F Alshamsi, MK Catacutan… - 2022 Advances in …, 2022 - ieeexplore.ieee.org
Acute Kidney Injury (AKI) is a common medical condition with a high mortality rate. The
incidence of AKI is exceptionally high in hospitalized patients, particularly those suffering …

Prediction of acute kidney injury in ICU with gradient boosting decision tree algorithms

W Gao, J Wang, L Zhou, Q Luo, Y Lao, H Lyu… - Computers in biology and …, 2022 - Elsevier
Purpose To predict acute kidney injury (AKI) in a large intensive care unit (ICU) database.
Materials and methods A total of 30,020 ICU admissions with 17,222 AKI episodes were …

A dual-channel deep learning approach to continuous prediction of acute kidney injury in the intensive care unit

X Kong, P Zhang, Y Ling, D Lv, J Xu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Acute Kidney Injury (AKI) often occurs in the intensive care units (ICU), where it is associated
with high morbidity and mortality. Early and continuous prediction of AKI plays a crucial role …