scholarly journals SP190DEVELOPMENT AND VALIDATION OF AN ACUTE KIDNEY INJURY RISK PREDICTION SCORE FOR USE IN THE COMMUNITY

2017 ◽  
Vol 32 (suppl_3) ◽  
pp. iii167-iii167
Author(s):  
Samira Bell ◽  
Hilda Hounkpatin ◽  
Nicosha De Souza ◽  
Paul Roderick ◽  
Simon Fraser ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Risk Prediction ◽  
Injury Risk ◽  
Kidney Injury ◽  
Prediction Score

scholarly journals SUN-181 ACUTE KIDNEY INJURY RISK PREDICTION SCORE FOR SURGICAL CRITICALLY ILL PATIENTS

2019 ◽  
Vol 4 (7) ◽  
pp. S233-S234
Author(s):  
K. Trongtrakul MD ◽  
J. Patumanond ◽  
A. Tasanarong ◽  
B. Satirapoj ◽  
T. Charernboon ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Risk Prediction ◽  
Critically Ill Patients ◽  
Injury Risk ◽  
Kidney Injury ◽  
Prediction Score

scholarly journals Acute kidney injury risk prediction score for critically-ill surgical patients

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Konlawij Trongtrakul ◽  
Jayanton Patumanond ◽  
Suneerat Kongsayreepong ◽  
Sunthiti Morakul ◽  
Tanyong Pipanmekaporn ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Risk Prediction ◽  
Injury Risk ◽  
Kidney Injury ◽  
Prediction Score ◽  
Surgical Patients ◽  
Critically Ill Surgical Patients

scholarly journals Plasma endostatin may improve acute kidney injury risk prediction in critically ill patients

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Johan Mårtensson ◽  
Niklas Jonsson ◽  
Neil J. Glassford ◽  
Max Bell ◽  
Claes-Roland Martling ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Risk Prediction ◽  
Critically Ill Patients ◽  
Injury Risk ◽  
Kidney Injury

scholarly journals Artificial Intelligence in Acute Kidney Injury Risk Prediction

2020 ◽  
Vol 9 (3) ◽  
pp. 678 ◽  
Author(s):  
Joana Gameiro ◽  
Tiago Branco ◽  
José António Lopes
Keyword(s):  
Artificial Intelligence ◽  
Acute Kidney Injury ◽  
Risk Prediction ◽  
Injury Risk ◽  
Risk Estimation ◽  
Kidney Injury ◽  
Risk Scores ◽  
Electronic Alerts ◽  
Patients At Risk ◽  
Short And Long Term

Acute kidney injury (AKI) is a frequent complication in hospitalized patients, which is associated with worse short and long-term outcomes. It is crucial to develop methods to identify patients at risk for AKI and to diagnose subclinical AKI in order to improve patient outcomes. The advances in clinical informatics and the increasing availability of electronic medical records have allowed for the development of artificial intelligence predictive models of risk estimation in AKI. In this review, we discussed the progress of AKI risk prediction from risk scores to electronic alerts to machine learning methods.

scholarly journals A risk prediction score for acute kidney injury in the intensive care unit

2017 ◽  
Vol 32 (5) ◽  
pp. 814-822 ◽  
Author(s):  
Rakesh Malhotra ◽  
Kianoush B. Kashani ◽  
Etienne Macedo ◽  
Jihoon Kim ◽  
Josee Bouchard ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Acute Kidney Injury ◽  
Intensive Care ◽  
Risk Prediction ◽  
Kidney Injury ◽  
Prediction Score
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