[HTML][HTML] Anesthetic Management Recommendations Using a Machine Learning Algorithm to Reduce the Risk of Acute Kidney Injury After Cardiac Surgeries

AA Abin, A Molla, A Ejmalian, S Nabavi… - … and Pain Medicine, 2024 - brieflands.com
Background: Open heart surgeries are a common surgical approach among patients with
heart disease. Acute kidney injury (AKI) is one of the most common postoperative …

[HTML][HTML] Prediction of acute kidney injury after cardiac surgery using interpretable machine learning

A Ejmalian, A Aghaei, S Nabavi… - … and Pain Medicine, 2022 - ncbi.nlm.nih.gov
Background Acute kidney injury (AKI) is a complication that occurs for various reasons after
surgery, especially cardiac surgery. This complication can lead to a prolonged treatment …

Derivation and validation of machine learning approaches to predict acute kidney injury after cardiac surgery

HC Lee, HK Yoon, K Nam, YJ Cho, TK Kim… - Journal of clinical …, 2018 - mdpi.com
Machine learning approaches were introduced for better or comparable predictive ability
than statistical analysis to predict postoperative outcomes. We sought to compare the …

Machine learning in predicting cardiac surgery-associated acute kidney injury: A systemic review and meta-analysis

Z Song, Z Yang, M Hou, X Shi - Frontiers in Cardiovascular Medicine, 2022 - frontiersin.org
Background Cardiac surgery-associated acute kidney injury (CSA-AKI) is a common
complication following cardiac surgery. Early prediction of CSA-AKI is of great significance …

Development of interpretable machine learning models for prediction of acute kidney injury after noncardiac surgery: a retrospective cohort study

R Sun, S Li, Y Wei, L Hu, Q Xu, G Zhan… - … Journal of Surgery, 2024 - journals.lww.com
Background: Early identification of patients at high-risk of postoperative acute kidney injury
(AKI) can facilitate the development of preventive approaches. This study aimed to develop …

[HTML][HTML] Development, External Validation, and Visualization of Machine Learning Models for Predicting Occurrence of Acute Kidney Injury after Cardiac Surgery

J Shao, F Liu, S Ji, C Song, Y Ma, M Shen… - Reviews in …, 2023 - imrpress.com
Background: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major
complication that results in short-and long-term mortality among patients. Here, we adopted …

Machine learning for the prediction of acute kidney injury in patients after cardiac surgery

X Xue, Z Liu, T Xue, W Chen, X Chen - Frontiers in Surgery, 2022 - frontiersin.org
Cardiac surgery-associated acute kidney injury (CSA-AKI) is the most prevalent major
complication of cardiac surgery and exerts a negative effect on a patient's prognosis, thereby …

Prediction of acute kidney injury following cardiac surgery by machine learning

Y FAN, J SHAO, Y WU, C SONG… - … OF CHINESE PLA …, 2022 - xuebao.301hospital.com.cn
Background Cardiac surgery-associated acute kidney injury (CSA-AKI) is one of the major
complications after cardiac surgery, and its course has a negative impact on the short-and …

Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm

Y Petrosyan, TG Mesana, LY Sun - BMC Medical Informatics and Decision …, 2022 - Springer
Background Acute kidney injury (AKI) is a serious complication after cardiac surgery. We
derived and internally validated a Machine Learning preoperative model to predict cardiac …

Predicting the risk of acute kidney injury after cardiopulmonary bypass: development and assessment of a new predictive nomogram

H Jing, M Liao, S Tang, S Lin, L Ye, J Zhong… - BMC …, 2022 - Springer
Background Acute kidney injury (AKI) is a common and severe complication of cardiac
surgery with cardiopulmonary bypass (CPB). This study aimed to establish a model to …