On the public citation graph
Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
0 signed · 56 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ehf2.12595openalex-snapshot
Acute Kidney Injury in Heart Failure: A Population Study
inferredcites →https://doi.org/10.1007/s00134-016-4670-3openalex-snapshot
Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: the PrevAKI randomized controlled trial
inferredcites →https://doi.org/10.1007/s40620-019-00616-zopenalex-snapshot
Transitional care program to facilitate recovery following severe acute kidney injury
inferredcites →https://doi.org/10.1016/0009-9120(95)91401-nopenalex-snapshot
Comparison of anticoagulant bias with aspartate transaminase (AST), amylase, creatine kinase (CK) and creatine kinase MB (CKMB) analyses on the Kodak ektachem 700 analyzer
inferredcites →https://doi.org/10.1016/j.ejim.2011.05.005openalex-snapshot
Incidence of acute kidney injury in cancer patients: A Danish population-based cohort study
inferredcites →https://doi.org/10.1016/j.ijcard.2015.07.108openalex-snapshot
Comparison of combination therapy of high-dose oral N-acetylcysteine and intravenous sodium bicarbonate hydration with individual therapies in the reduction of Contrast-induced Nephropathy during Cardiac Catheterisation and Percutaneous Coronary Intervention (CONTRAST): A multi-centre, randomised,…
inferredcites →https://doi.org/10.1016/j.jtcvs.2013.09.040openalex-snapshot
Identification of modifiable risk factors for acute kidney injury after coronary artery bypass graft surgery in an Asian population
inferredcites →https://doi.org/10.1016/j.kint.2016.03.031openalex-snapshot
A sustained quality improvement program reduces nephrotoxic medication-associated acute kidney injury
inferredcites →https://doi.org/10.1016/j.kisu.2017.10.001openalex-snapshot
Kidney Disease: Improving Global Outcomes (KDIGO) CKD-MBD Update Work Group. KDIGO 2017 Clinical Practice Guideline Update for the Diagnosis, Evaluation, Prevention, and Treatment of Chronic Kidney Disease–Mineral and Bone Disorder (CKD-MBD). Kidney Int Suppl. 2017;7:1–59
inferredcites →https://doi.org/10.1038/s41586-019-1390-1openalex-snapshot
A clinically applicable approach to continuous prediction of future acute kidney injury
inferredcites →https://doi.org/10.1038/s41746-020-00346-8openalex-snapshot
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance
inferredcites →https://doi.org/10.1056/nejmoa1711586openalex-snapshot
Balanced Crystalloids versus Saline in Noncritically Ill Adults
inferredcites →https://doi.org/10.1093/jac/dkw296openalex-snapshot
Aminoglycoside-associated acute kidney injury in elderly patients with and without shock
inferredcites →https://doi.org/10.1093/jamia/ocx030openalex-snapshot
Calibration drift in regression and machine learning models for acute kidney injury
inferredcites →https://doi.org/10.1093/labmed/28.3.167openalex-snapshot
Informatics and the Clinical Laboratory
inferredcites →https://doi.org/10.1093/ndt/gfw087openalex-snapshot
A simple care bundle for use in acute kidney injury: a propensity score-matched cohort study
inferredcites →https://doi.org/10.1109/tkde.2018.2876857openalex-snapshot
Learning under Concept Drift: A Review
inferredcites →https://doi.org/10.1111/j.1540-8183.2010.00581.xopenalex-snapshot
Comparison of Risks and Clinical Predictors of Contrast‐Induced Nephropathy in Patients Undergoing Emergency versus Nonemergency Percutaneous Coronary Interventions
inferredcites →https://doi.org/10.1136/bmjoq-2017-000308openalex-snapshot
Reducing acute kidney injury incidence and progression in a large teaching hospital
inferredcites →https://doi.org/10.1145/3097983.3098149openalex-snapshot
Resolving the Bias in Electronic Medical Records
inferredcites →https://doi.org/10.1145/3219819.3219904openalex-snapshot
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time
inferredcites →https://doi.org/10.1145/3318464.3389720openalex-snapshot
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications
inferredcites →https://doi.org/10.1159/000339789openalex-snapshot
KDIGO Clinical Practice Guidelines for Acute Kidney Injury
inferredcites →https://doi.org/10.1159/000468530openalex-snapshot
Magnesium Replacement Improves the Metabolic Profile in Obese and Pre-Diabetic Patients with Mild-to-Moderate Chronic Kidney Disease: A 3-Month, Randomised, Double-Blind, Placebo-Controlled Study
inferredcites →https://doi.org/10.1177/0885066618764617openalex-snapshot
Extended Mortality and Chronic Kidney Disease After Septic Acute Kidney Injury
inferredcites →https://doi.org/10.1186/cc12503openalex-snapshot
Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury
inferredcites →https://doi.org/10.1186/s12882-019-1206-4openalex-snapshot
Electronic health records accurately predict renal replacement therapy in acute kidney injury
inferredcites →https://doi.org/10.15585/mmwr.mm6710a2openalex-snapshot
Trends in Hospitalizations for Acute Kidney Injury — United States, 2000–2014
inferredcites →https://doi.org/10.1681/asn.2018090886openalex-snapshot
An Organizational-Level Program of Intervention for AKI: A Pragmatic Stepped Wedge Cluster Randomized Trial
inferredcites →https://doi.org/10.2174/1389200220666190711114504openalex-snapshot
Serial Quantification of Urinary Protein Biomarkers to Predict Drug-induced Acute Kidney Injury
inferredcites →https://doi.org/10.2215/cjn.00280116openalex-snapshot
Development of a Multicenter Ward–Based AKI Prediction Model
inferredcites →https://doi.org/10.2215/cjn.02730313openalex-snapshot
Incidence, Outcomes, and Comparisons across Definitions of AKI in Hospitalized Individuals
inferredcites →https://doi.org/10.2215/cjn.03681106openalex-snapshot
Septic Acute Kidney Injury in Critically Ill Patients
inferredcites →https://doi.org/10.2215/cjn.05480610openalex-snapshot
Predictors of Acute Kidney Injury in Septic Shock Patients
inferredcites →https://doi.org/10.2215/cjn.07920713openalex-snapshot
Epidemiology and Outcomes in Community-Acquired Versus Hospital-Acquired AKI
inferredcites →https://doi.org/10.2215/cjn.10981016openalex-snapshot
The Diagnosis-Wide Landscape of Hospital-Acquired AKI
inferredcites →https://doi.org/10.2215/cjn.15611219openalex-snapshot
AKI!Now Initiative: Recommendations for Awareness, Recognition, and Management of AKI
inferredcites →https://doi.org/10.3390/jcm8091371openalex-snapshot
Acute Kidney Injury and In-Hospital Mortality: A Retrospective Analysis of a Nationwide Administrative Database of Elderly Subjects in Italy
inferredcites →https://doi.org/10.7326/0003-4819-150-9-200905050-00006openalex-snapshot
A New Equation to Estimate Glomerular Filtration Rate
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4860194openalex-extracted
Identifying Ideal Turbine Locations Using Explainable Ai Techniques
inferred← citeshttps://doi.org/10.1002/clc.24127openalex-snapshot
Using machine learning to predict adverse events in acute coronary syndrome: A retrospective study
inferred← citeshttps://doi.org/10.1016/j.jhep.2022.03.003openalex-snapshot
“Beyond MELD” – Emerging strategies and technologies for improving mortality prediction, organ allocation and outcomes in liver transplantation
inferred← citeshttps://doi.org/10.1016/j.measen.2024.101053openalex-snapshot
Improved healthcare monitoring of coronary heart disease patients in time-series fashion using deep learning model
inferred← citeshttps://doi.org/10.1145/3690624.3709164openalex-snapshot
CLEAR: Addressing Representation Contamination in Multimodal Healthcare Analytics
inferred← citeshttps://doi.org/10.1146/annurev-bioeng-110220-030247openalex-snapshot
Predictive Models for Health Deterioration: Understanding Disease Pathways for Personalized Medicine
inferred← citeshttps://doi.org/10.1186/s12877-025-06944-zopenalex-snapshot
The relationship between intraoperative hypotension and acute kidney injury in elderly and super elderly patients undergoing noncardiac surgery: a retrospective cohort analysis
inferred← citeshttps://doi.org/10.1186/s12889-025-23610-6openalex-snapshot
Employing machine learning for early detection of poly-victimization in rural children: a survey study in China’s Chaoshan region
inferred← citeshttps://doi.org/10.1371/journal.pone.0314907openalex-snapshot
Non-linear association between AKI alert detection rate by physicians and medical costs
inferred← citeshttps://doi.org/10.2196/47693openalex-snapshot
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study
inferred← citeshttps://doi.org/10.26445/07.03.3openalex-snapshot
Caracterización de la lesión renal aguda en un hospital de la República Dominicana
inferred← citeshttps://doi.org/10.3389/fmed.2022.1043589openalex-snapshot
Research frontiers and trends in the application of artificial intelligence to sepsis: A bibliometric analysis
inferred← citeshttps://doi.org/10.7717/peerj-cs.2612openalex-snapshot
Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.