Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows
Authors
Keywords
Acute kidney injury, Knowledge mining approach, Risk prediction, Temporal fluctuation, Electronic medical records
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 245, Issue -, Pages 108655
Publisher
Elsevier BV
Online
2022-03-30
DOI
10.1016/j.knosys.2022.108655
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques
- (2020) Hooman H. Rashidi et al. Scientific Reports
- AKI in Hospitalized Patients with COVID-19
- (2020) Lili Chan et al. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
- Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model
- (2019) Ke Lin et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- A simple risk score for prediction of sepsis associated-acute kidney injury in critically ill patients
- (2019) Jiaojiao Zhou et al. JOURNAL OF NEPHROLOGY
- A clinically applicable approach to continuous prediction of future acute kidney injury
- (2019) Nenad Tomašev et al. NATURE
- 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
- An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
- (2018) Shamim Nemati et al. CRITICAL CARE MEDICINE
- The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model*
- (2018) Jay L. Koyner et al. CRITICAL CARE MEDICINE
- 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
- (2017) Marine Flechet et al. INTENSIVE CARE MEDICINE
- 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
- Risk factors of acute kidney injury after orthotopic liver transplantation in China
- (2017) Yin Zongyi et al. Scientific Reports
- Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach
- (2016) R. Andrew Taylor et al. ACADEMIC EMERGENCY MEDICINE
- Prediction and detection models for acute kidney injury in hospitalized older adults
- (2016) Rohit J. Kate et al. BMC Medical Informatics and Decision Making
- Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
- (2016) Benjamin A Goldstein et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Risk Factors for Acute Kidney Injury in Older Adults With Critical Illness: A Retrospective Cohort Study
- (2015) Sandra L. Kane-Gill et al. AMERICAN JOURNAL OF KIDNEY DISEASES
- Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves
- (2014) Xu Sun et al. IEEE SIGNAL PROCESSING LETTERS
- Simplified Clinical Risk Score to Predict Acute Kidney Injury After Aortic Surgery
- (2013) Won Ho Kim et al. JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA
- A Risk Prediction Score for Kidney Failure or Mortality in Rhabdomyolysis
- (2013) Gearoid M. McMahon et al. JAMA Internal Medicine
- A European Renal Best Practice (ERBP) position statement on the Kidney Disease Improving Global Outcomes (KDIGO) Clinical Practice Guidelines on Acute Kidney Injury: Part 1: definitions, conservative management and contrast-induced nephropathy
- (2012) et al. NEPHROLOGY DIALYSIS TRANSPLANTATION
- Study on the Impact of Partition-Induced Dataset Shift on $k$-Fold Cross-Validation
- (2012) J. G. Moreno-Torres et al. IEEE Transactions on Neural Networks and Learning Systems
- Development of Inpatient Risk Stratification Models of Acute Kidney Injury for Use in Electronic Health Records
- (2010) Michael E. Matheny et al. MEDICAL DECISION MAKING
- Evaluation and Initial Management of Acute Kidney Injury
- (2008) J. Himmelfarb et al. Clinical Journal of the American Society of Nephrology
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now