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Approaches to Predicting Outcomes in Patients with Acute Kidney Injury

https://doi.org/10.1371/journal.pone.0169305
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0470013192.bsa501openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1002/pds.3329openalex-snapshot
Proton pump inhibitors and traditional nonsteroidal anti‐inflammatory drugs and the risk of acute interstitial nephritis and acute kidney injury
inferredcites →https://doi.org/10.1007/978-1-4471-0347-9_4openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1007/bf01709751openalex-snapshot
The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure
inferredcites →https://doi.org/10.1016/j.kint.2023.10.018openalex-snapshot
KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease
inferredcites →https://doi.org/10.1016/j.kjms.2012.08.016openalex-snapshot
Comparison of three data mining models for predicting diabetes or prediabetes by risk factors
inferredcites →https://doi.org/10.1016/j.surg.2010.03.023openalex-snapshot
Novel solutions for an old disease: Diagnosis of acute appendicitis with random forest, support vector machines, and artificial neural networks
inferredcites →https://doi.org/10.1016/s0140-6736(15)60266-5openalex-snapshot
Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/ki.1972.62openalex-snapshot
Effect of urinary extracts from salt-loaded man on urinary sodium excretion by the rat
inferredcites →https://doi.org/10.1038/ki.1973.1openalex-snapshot
Plasma aldosterone regulation in anephric man
inferredcites →https://doi.org/10.1038/ki.2011.379openalex-snapshot
Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis
inferredcites →https://doi.org/10.1038/kisup.2012.1openalex-snapshot
Adequacy of dialysis. Introduction: purpose of the conference.
inferredcites →https://doi.org/10.1038/nrg3208openalex-snapshot
Mining electronic health records: towards better research applications and clinical care
inferredcites →https://doi.org/10.1038/sj.ki.5001579openalex-snapshot
Mortality after acute renal failure: Models for prognostic stratification and risk adjustment
inferredcites →https://doi.org/10.1053/j.ajkd.2006.08.002openalex-snapshot
Risks and Outcomes of Acute Kidney Injury Requiring Dialysis After Cardiac Transplantation
inferredcites →https://doi.org/10.1093/ndt/gfu326openalex-snapshot
Changes in the aetiology, clinical presentation and management of acute interstitial nephritis, an increasingly common cause of acute kidney injury
inferredcites →https://doi.org/10.1097/01.ccm.0000224227.70642.4fopenalex-snapshot
An assessment of the RIFLE criteria for acute renal failure in hospitalized patients*
inferredcites →https://doi.org/10.1097/mlr.0b013e3181de9e17openalex-snapshot
Prediction Modeling Using EHR Data
inferredcites →https://doi.org/10.1134/s1054661812010166openalex-snapshot
Large-scale Gaussian process classification using random decision forests
inferredcites →https://doi.org/10.1159/000339789openalex-snapshot
KDIGO Clinical Practice Guidelines for Acute Kidney Injury
inferredcites →https://doi.org/10.1159/000437312openalex-snapshot
Urine Output Assessment as a Clinical Quality Measure
inferredcites →https://doi.org/10.1161/jaha.114.001380openalex-snapshot
Validated Contemporary Risk Model of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions: Insights From the National Cardiovascular Data Registry Cath‐PCI Registry
inferredcites →https://doi.org/10.1177/0885066607299510openalex-snapshot
Defining Acute Renal Failure: The RIFLE Criteria
inferredcites →https://doi.org/10.1177/1536867x0600600302openalex-snapshot
Confidence Intervals for Rank Statistics: Somers’ D and Extensions
inferredcites →https://doi.org/10.1177/1740774514542619openalex-snapshot
A trial of in-hospital, electronic alerts for acute kidney injury: Design and rationale
inferredcites →https://doi.org/10.1186/1745-6215-15-103openalex-snapshot
Improving clinical trial efficiency by biomarker-guided patient selection
inferredcites →https://doi.org/10.1186/cc13015openalex-snapshot
Development and Standardization of a Furosemide Stress Test to Predict the Severity of Acute Kidney Injury
inferredcites →https://doi.org/10.1371/journal.pmed.1001380openalex-snapshot
Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research
inferredcites →https://doi.org/10.1681/asn.2004040331openalex-snapshot
A Clinical Score to Predict Acute Renal Failure after Cardiac Surgery
inferredcites →https://doi.org/10.1681/asn.2004090740openalex-snapshot
Acute Kidney Injury, Mortality, Length of Stay, and Costs in Hospitalized Patients
inferredcites →https://doi.org/10.1681/asn.2006070756openalex-snapshot
Incidence and Outcomes in Acute Kidney Injury
inferredcites →https://doi.org/10.1681/asn.2012080800openalex-snapshot
Temporal Changes in Incidence of Dialysis-Requiring AKI
inferredcites →https://doi.org/10.2215/cjn.00710113openalex-snapshot
World Incidence of AKI
inferredcites →https://doi.org/10.2215/cjn.02900311openalex-snapshot
Model to Predict Mortality in Critically Ill Adults with Acute Kidney Injury
inferredcites →https://doi.org/10.2215/cjn.04961107openalex-snapshot
Epidemiology of Acute Kidney Injury
inferredcites →https://doi.org/10.2215/cjn.06450612openalex-snapshot
Predictors of Death and Dialysis in Severe AKI
inferredcites →https://doi.org/10.2307/1269292openalex-snapshot
A User's Guide to Principal Components
inferredcites →https://doi.org/10.3349/ymj.2013.54.6.1321openalex-snapshot
Osteoporosis Risk Prediction for Bone Mineral Density Assessment of Postmenopausal Women Using Machine Learning

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.4851223openalex-extracted
inferred← citeshttps://doi.org/10.1002/047134608x.w1416.pub3openalex-snapshot
Medical Expert Systems
inferred← citeshttps://doi.org/10.1007/978-981-97-2577-9_12openalex-snapshot
Role of Artificial Intelligence in Clinical and Hospital Pharmacy
inferred← citeshttps://doi.org/10.1007/s00467-021-04940-0openalex-snapshot
The use of diagnostic tools for pediatric AKI: applying the current evidence to the bedside
inferred← citeshttps://doi.org/10.1016/j.burns.2019.05.001openalex-snapshot
Plasma protein C levels are directly associated with better outcomes in patients with severe burns
inferred← citeshttps://doi.org/10.1016/j.hlpt.2022.100602openalex-snapshot
Organizational, professional, and patient characteristics associated with artificial intelligence adoption in healthcare: A systematic review
inferred← citeshttps://doi.org/10.1016/j.imu.2023.101178openalex-snapshot
Analysis of length of stay for patients admitted to Korean hospitals based on the Korean National Health Insurance Service Database
inferred← citeshttps://doi.org/10.1016/j.jointm.2023.12.005openalex-snapshot
When to start renal replacement therapy in acute kidney injury: What are we waiting for?
inferred← citeshttps://doi.org/10.1016/j.semnephrol.2017.09.002openalex-snapshot
Phenotyping of Acute Kidney Injury: Beyond Serum Creatinine
inferred← citeshttps://doi.org/10.1038/s41598-024-54926-9openalex-snapshot
Endothelium-related biomarkers enhanced prediction of kidney support therapy in critically ill patients with non-oliguric acute kidney injury
inferred← citeshttps://doi.org/10.1053/j.ajkd.2021.07.014openalex-snapshot
Timing of Kidney Support Therapy in Acute Kidney Injury: What Are We Waiting For?
inferred← citeshttps://doi.org/10.1093/ckj/sfaa145openalex-snapshot
Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning
inferred← citeshttps://doi.org/10.1093/ckj/sfae150openalex-snapshot
Using artificial intelligence to predict mortality in AKI patients: a systematic review/meta-analysis
inferred← citeshttps://doi.org/10.1093/jamiaopen/ooad109openalex-snapshot
Development and external validation of multimodal postoperative acute kidney injury risk machine learning models
inferred← citeshttps://doi.org/10.1097/ccm.0000000000003123openalex-snapshot
The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model*
inferred← citeshttps://doi.org/10.1097/mcc.0000000000000775openalex-snapshot
Artificial intelligence to guide management of acute kidney injury in the ICU: a narrative review
inferred← citeshttps://doi.org/10.1097/mnh.0000000000001098openalex-snapshot
Moving beyond the syndrome: how can acute kidney injury phenotypes help?
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2018.8491678openalex-snapshot
Fuzzy Modeling for Predicting Patient Survival Rate in ICU with AKI
inferred← citeshttps://doi.org/10.1109/iceccme57830.2023.10252792openalex-snapshot
Machine Learning Methods for Prediction of COVID-19 Patient Length of Stay: Using Texas PUDF Data
inferred← citeshttps://doi.org/10.1111/imj.14962openalex-snapshot
Machine learning in the prediction of medical inpatient length of stay
inferred← citeshttps://doi.org/10.1117/12.2590704openalex-snapshot
Predicting 1-year mortality of acute kidney injury: a risk model using electronic health records
inferred← citeshttps://doi.org/10.1177/000313481908500731openalex-snapshot
Comparing Machine Learning Algorithms for Predicting Acute Kidney Injury
inferred← citeshttps://doi.org/10.1177/20552076261443021openalex-snapshot
A sequential machine learning framework for ICU and hospital length of stay prediction from admission-time data
inferred← citeshttps://doi.org/10.1186/s12882-019-1206-4openalex-snapshot
Electronic health records accurately predict renal replacement therapy in acute kidney injury
inferred← citeshttps://doi.org/10.1590/1980-265x-tce-2019-0122openalex-snapshot
KNOWLEDGE AND CARE PRACTICE OF NURSES OF INTENSIVE CARE UNITS REGARDING ACUTE KIDNEY INJURY
inferred← citeshttps://doi.org/10.2215/cjn.0000000695openalex-snapshot
Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI
inferred← citeshttps://doi.org/10.2215/cjn.00270117openalex-snapshot
Infrequent Provision of Palliative Care to Patients with Dialysis-Requiring AKI
inferred← citeshttps://doi.org/10.2215/cjn.05940617openalex-snapshot
Reconfiguring Health Care Delivery to Improve AKI Outcomes
inferred← citeshttps://doi.org/10.33448/rsd-v11i12.34366openalex-snapshot
Conhecimento de enfermeiros intensivistas sobre cuidados a pacientes em hemodiálise
inferred← citeshttps://doi.org/10.3390/jcm10061175openalex-snapshot
Determinants of Outcomes of Acute Kidney Injury: Clinical Predictors and Beyond
inferred← citeshttps://doi.org/10.46335/ijies.2022.7.8.3openalex-snapshot
Identification and Prediction of Kidney syndrome Patients using Data Mining Practice
inferred← citeshttps://doi.org/10.5121/ams.2024.11201openalex-snapshot
Unlocking Healthcare 4.0: Navigating Critical Success Factors for Effective Integration in Health Systems
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