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 …
[HTML][HTML] Predicting outcomes of acute kidney injury in critically ill patients using machine learning
F Nateghi Haredasht, L Viaene, H Pottel, W De Corte… - Scientific Reports, 2023 - nature.com
Abstract Acute Kidney Injury (AKI) is a sudden episode of kidney failure that is frequently
seen in critically ill patients. AKI has been linked to chronic kidney disease (CKD) and …
seen in critically ill patients. AKI has been linked to chronic kidney disease (CKD) and …
Construction and evaluation of a mortality prediction model for patients with acute kidney injury undergoing continuous renal replacement therapy based on machine …
Y Wang, X Sun, J Lu, L Zhong, Z Yang - Annals of Medicine, 2024 - Taylor & Francis
Background To construct and evaluate a predictive model for in-hospital mortality among
critically ill patients with acute kidney injury (AKI) undergoing continuous renal replacement …
critically ill patients with acute kidney injury (AKI) undergoing continuous renal replacement …
[HTML][HTML] A simpler machine learning model for acute kidney injury risk stratification in hospitalized patients
Background: Hospitalization-associated acute kidney injury (AKI), affecting one-in-five
inpatients, is associated with increased mortality and major adverse cardiac/kidney …
inpatients, is associated with increased mortality and major adverse cardiac/kidney …
Using artificial intelligence to predict mortality in AKI patients: a systematic review/meta-analysis
R Raina, R Shah, P Nemer, J Fehlmen… - Clinical Kidney …, 2024 - academic.oup.com
Background Acute kidney injury (AKI) is associated with increased morbidity/mortality. With
artificial intelligence (AI), more dynamic models for mortality prediction in AKI patients have …
artificial intelligence (AI), more dynamic models for mortality prediction in AKI patients have …
[HTML][HTML] Using machine learning to predict the risk of short-term and long-term death in acute kidney injury patients after commencing CRRT
M Gu, Y Liu, H Sun, H Sun, Y Fang, L Chen, L Zhang - BMC nephrology, 2024 - Springer
Background The mortality rate and prognosis of short-term and long-term acute kidney injury
(AKI) patients who undergo continuous renal replacement therapy (CRRT) are different …
(AKI) patients who undergo continuous renal replacement therapy (CRRT) are different …
[HTML][HTML] Convolutional neural network model for intensive care unit acute kidney injury prediction
S Le, A Allen, J Calvert, PM Palevsky, G Braden… - Kidney international …, 2021 - Elsevier
Introduction Acute kidney injury (AKI) is common among hospitalized patients and has a
significant impact on morbidity and mortality. Although early prediction of AKI has the …
significant impact on morbidity and mortality. Although early prediction of AKI has the …
[HTML][HTML] Predicting Acute Kidney Injury: A Machine Learning Approach Using Electronic Health Records
Acute kidney injury (AKI) is a common complication in hospitalized patients and can result in
increased hospital stay, health-related costs, mortality and morbidity. A number of recent …
increased hospital stay, health-related costs, mortality and morbidity. A number of recent …
[HTML][HTML] Machine learning model for predicting acute kidney injury progression in critically ill patients
C Wei, L Zhang, Y Feng, A Ma, Y Kang - BMC medical informatics and …, 2022 - Springer
Background Acute kidney injury (AKI) is a serve and harmful syndrome in the intensive care
unit. Comparing to the patients with AKI stage 1/2, the patients with AKI stage 3 have higher …
unit. Comparing to the patients with AKI stage 1/2, the patients with AKI stage 3 have higher …
Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning
Background Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in
the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a …
the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a …