Deep-learning basierte Echtzeit-Vorhersage von akutem Nierenversagen nach kardiochirurgischen Eingriffen

N Rank - 2023 - refubium.fu-berlin.de
Die zunehmende Digitalisierung medizinischer Daten und die Fortschritte im Bereich der
künstlichen Intelligenz ermöglichen es, die enorme Menge an Daten, die während eines …

Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance

N Rank, B Pfahringer, J Kempfert, C Stamm… - NPJ digital …, 2020 - nature.com
Acute kidney injury (AKI) is a major complication after cardiothoracic surgery. Early
prediction of AKI could prompt preventive measures, but is challenging in the clinical routine …

A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients

E Adiyeke, Y Ren, MM Ruppert, B Shickel, SL Kane-Gill… - Surgery, 2023 - Elsevier
Background Acute kidney injury is a common postoperative complication affecting between
10% and 30% of surgical patients. Acute kidney injury is associated with increased resource …

Predicting acute kidney injury via interpretable ensemble learning and attention weighted convoutional-recurrent neural networks

YC Peng, NS D'Souza, B Bush, C Brown… - 2021 55th Annual …, 2021 - ieeexplore.ieee.org
Acute Kidney Injury (AKI) is one of the most frequent postoperative complications and is
associated with both short-and long-term mortality. Improved prediction of AKI is crucial and …

Machine learning for real-time prediction of complications in critical care: a retrospective study

A Meyer, D Zverinski, B Pfahringer… - The Lancet …, 2018 - thelancet.com
Background The large amount of clinical signals in intensive care units can easily
overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or …

Causal Deep Learning for Real-Time Detection of Cardiac Surgery-Associated Acute Kidney Injury: Derivation and Validation in Seven Time-Series Cohorts

Q Zhong, Y Cheng, Z Li, DJ Wang, C Rao, Y Jiang, L Li… - papers.ssrn.com
Background: Cardiac surgery-associated Acute Kidney Injury (CSA-AKI) is a complex
complication significantly contributing to an increased risk of mortality. Effective CSA-AKI …

[HTML][HTML] Self-correcting recurrent neural network for acute kidney injury prediction in critical care

NK Yuan - Health Data Science, 2021 - spj.science.org
Background. In critical care, intensivists are required to continuously monitor high-
dimensional vital signs and lab measurements to detect and diagnose acute patient …

[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 …

Internal and External Validation of Machine Learning Models for Predicting Acute Kidney Injury Following Non-Cardiac Surgery Using Open Datasets

SW Lee, J Jang, WY Seo, D Lee, SH Kim - Journal of Personalized …, 2024 - mdpi.com
This study developed and validated a machine learning model to accurately predict acute
kidney injury (AKI) after non-cardiac surgery, aiming to improve patient outcomes by …

Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set

IS Hofer, C Lee, E Gabel, P Baldi, M Cannesson - NPJ digital medicine, 2020 - nature.com
During the perioperative period patients often suffer complications, including acute kidney
injury (AKI), reintubation, and mortality. In order to effectively prevent these complications …