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 …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
identified. Associated anonymised electronic health records (EHR) of demographics …
Dialysis adequacy predictions using a machine learning method
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis.
However, there are inconveniences and disadvantages to measuring dialysis adequacy by …
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 …
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 …
associated with patient prognosis. Cardiovascular (CV) events are a major cause of death …