A prediction and interpretation framework of acute kidney injury in critical care

Artificial Intelligence in Acute Kidney Injury Risk Prediction

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A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population

(2020) Tengyang Wang et al.   PLoS One

Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics

(2019) Quincy A. Hathaway et al.   Cardiovascular Diabetology

A clinically applicable approach to continuous prediction of future acute kidney injury

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A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study

(2019) Michael Simonov et al.   PLOS MEDICINE

The Role of Risk Prediction Models in Prevention and Management of AKI

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Hyperphosphatemia and risks of acute kidney injury, end-stage renal disease, and mortality in hospitalized patients

(2019) Hongran Moon et al.   BMC Nephrology

The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model*

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Comparison of variable selection methods for clinical predictive modeling

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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

(2018) Cao Xiao et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin

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

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Prediction Models and Their External Validation Studies for Mortality of Patients with Acute Kidney Injury: A Systematic Review

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Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

(2017) Benjamin Shickel et al.   IEEE Journal of Biomedical and Health Informatics

Prediction and detection models for acute kidney injury in hospitalized older adults

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MIMIC-III, a freely accessible critical care database

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A Risk Score to Predict Acute Renal Failure in Adult Patients After Lung Transplantation

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Big Data for Health

(2015) Javier Andreu-Perez et al.   IEEE Journal of Biomedical and Health Informatics

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

Diuretics associated acute kidney injury: clinical and pathological analysis

(2014) Xiaojing Wu et al.   RENAL FAILURE

World Incidence of AKI: A Meta-Analysis

(2013) P. Susantitaphong et al.   Clinical Journal of the American Society of Nephrology

Acute kidney injury: outcomes and quality of care

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Comparison and clinical suitability of eight prediction models for cardiac surgery-related acute kidney injury

(2012) Harmke D. Kiers et al.   NEPHROLOGY DIALYSIS TRANSPLANTATION

Multiple imputation by chained equations: what is it and how does it work?

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Hypothermia-Induced Acute Kidney Injury in a Diabetic Patient with Nephropathy and Neuropathy

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Diagnosis, Epidemiology and Outcomes of Acute Kidney Injury

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