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 …
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
During the perioperative period patients often suffer complications, including acute kidney
injury (AKI), reintubation, and mortality. In order to effectively prevent these complications …
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
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 …
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 …
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
Machine learning approaches were introduced for better or comparable predictive ability
than statistical analysis to predict postoperative outcomes. We sought to compare the …
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
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 …
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 …
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 …
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
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 …
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 …
(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?
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 …
decades due to rising prevalence of comorbidities and broadening repertoire of nephrotoxic …
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