A novel patient-specific model for predicting severe oliguria; development and comparison with kidney disease: improving global outcomes acute kidney injury …

SH Howitt, J Oakley, C Caiado, M Goldstein… - Critical Care …, 2020 - journals.lww.com
Objectives: The Kidney Disease: Improving Global Outcomes urine output criteria for acute
kidney injury lack specificity for identifying patients at risk of adverse renal outcomes. The …

Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning

Q Liang, X Xu, S Ding, J Wu, M Huang - Renal Failure, 2024 - Taylor & Francis
Background Predicting the successful weaning of acute kidney injury (AKI) patients from
renal replacement therapy (RRT) has emerged as a research focus, and we successfully …

Identifying patients at high risk of inappropriate drug dosing in periods with renal dysfunction

BS Kaas-Hansen, CL Rodríguez, D Placido… - medRxiv, 2021 - medrxiv.org
Introduction Dosing of renally cleared drugs in patients with kidney failure often deviates
from clinical guidelines but little is known about what is predictive of receiving inappropriate …

A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients

F Alfieri, A Ancona, G Tripepi, D Crosetto… - Journal of …, 2021 - Springer
Abstract Background Acute Kidney Injury (AKI), a frequent complication of pateints in the
Intensive Care Unit (ICU), is associated with a high mortality rate. Early prediction of AKI is …

Estimated effects of early diuretic use in critical illness

IE McCoy, ME Montez-Rath, GM Chertow… - Critical care …, 2019 - journals.lww.com
Objectives: To estimate the effects of diuretic use during the first 24 hours of an ICU stay on
in-hospital mortality and other clinical outcomes including acute kidney injury and duration …

Short-term prediction of low kidney function in ICU patients

R Pacheco, CM Salgado, R Deliberato… - … on Fuzzy Systems …, 2017 - ieeexplore.ieee.org
Intensive care treatment presents unique challenges in the medical world. When treating
patients, their wide variety leave care providers with few past examples to draw on. Instead …

Can artificial intelligence predict the need for acute renal replacement therapy among inpatients with acute kidney injury?

H Selvaskandan, T Gaultney, D Heath, S Linfoot… - Future Healthcare …, 2023 - Elsevier
Methods 21,225 sets of anonymised inpatient consecutive AKI episodes (stages 1–3) were
identified. Associated anonymised electronic health records (EHR) of demographics …

Dialysis adequacy predictions using a machine learning method

HW Kim, SJ Heo, JY Kim, A Kim, CM Nam, BS Kim - Scientific reports, 2021 - nature.com
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis.
However, there are inconveniences and disadvantages to measuring dialysis adequacy by …

Prediction of acute kidney injury in the intensive care unit: preliminary findings in a European open access database

M Fujarski, C Porschen, L Plagwitz… - … of Trustable AI and …, 2022 - ebooks.iospress.nl
Acute kidney injury (AKI) is a common complication in critically ill patients and is associated
with long-term complications and an increased mortality. This work presents preliminary …

Prediction model for cardiovascular events or all-cause mortality in incident dialysis patients

D Inaguma, D Morii, D Kabata, H Yoshida, A Tanaka… - PloS one, 2019 - journals.plos.org
Some variables including age, comorbidity of diabetes, and so on at dialysis initiation are
associated with patient prognosis. Cardiovascular (CV) events are a major cause of death …