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 …

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 …

Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics

L Adhikari, T Ozrazgat-Baslanti, M Ruppert… - PloS one, 2019 - journals.plos.org
Background Acute kidney injury (AKI) is a common complication after surgery that is
associated with increased morbidity and mortality. The majority of existing perioperative AKI …

[HTML][HTML] Real-time clinical decision support based on recurrent neural networks for in-hospital acute kidney injury: external validation and model interpretation

K Kim, H Yang, J Yi, HE Son, JY Ryu, YC Kim… - Journal of Medical …, 2021 - jmir.org
Background Acute kidney injury (AKI) is commonly encountered in clinical practice and is
associated with poor patient outcomes and increased health care costs. Despite it posing …

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 models for predicting acute kidney injury: a systematic review and critical appraisal

I Vagliano, NC Chesnaye, JH Leopold… - Clinical Kidney …, 2022 - academic.oup.com
Background The number of studies applying machine learning (ML) to predict acute kidney
injury (AKI) has grown steadily over the past decade. We assess and critically appraise the …

Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: development and multi-centric, multi-national external …

F Alfieri, A Ancona, G Tripepi, A Rubeis, N Arjoldi… - PLoS …, 2023 - journals.plos.org
Background Acute Kidney Injury (AKI) is a major complication in patients admitted to
Intensive Care Units (ICU), causing both clinical and economic burden on the healthcare …

Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor

M Flechet, S Falini, C Bonetti, F Güiza, M Schetz… - Critical Care, 2019 - Springer
Background Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive
care unit (ICU). The AKIpredictor is a set of machine-learning-based prediction models for …

Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements

LP Zimmerman, PA Reyfman, ADR Smith… - BMC medical informatics …, 2019 - Springer
Background The development of acute kidney injury (AKI) during an intensive care unit
(ICU) admission is associated with increased morbidity and mortality. Methods Our objective …

[HTML][HTML] Predicting inpatient acute kidney injury over different time horizons: how early and accurate?

P Cheng, LR Waitman, Y Hu, M Liu - AMIA Annual Symposium …, 2017 - ncbi.nlm.nih.gov
Abstract Incidence of Acute Kidney Injury (AKI) has increased dramatically over the past two
decades due to rising prevalence of comorbidities and broadening repertoire of nephrotoxic …