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Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission

Journal of Critical Care(2021)10.1016/j.jcrc.2021.01.003Source: DataRank Database

Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission is a research paper published in Journal of Critical Care (2021). On theSindex it has a DataRank of 0. It has been cited 10 times.

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0DataRank · unranked

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Open Access10 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.78)OA: greenTopics (33)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (3)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (7)

Stephanie Lanius,Erina Ghosh,Larry J. Eshelman,Kalyan S. Pasupathy ORCID,Erin F. Barreto ORCID

Live enrichment

PubMed:33508763 PMC:PMC8534813 OpenAlex:https://openalex.org/W3121600311

National Institutes of Health

Grant: K23AI143882

National Institutes of Health

Grant: 5K23AI143882-05

Beta-lactam individualization for critically ill patients

National Institute of Allergy and Infectious Diseases

FWCI

0.78

Citation Percentile

0.7%

Citation Trend

2021

2022

2023

2025

2026

greenLicense: Elsevier TDM

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8534813

publisherhttps://api.elsevier.com/content/article/PII:S0883944121000034?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0883944121000034?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.jcrc.2021.01.003

Fields of Study

Acute Kidney Injury ResearchCardiac Arrest and ResuscitationTrauma, Hemostasis, Coagulopathy, Resuscitation03 medical and health sciences0302 clinical medicineAcute Kidney InjuryCreatinineCritical CareHospitalizationHumansMachine Learning

MeSH Terms

Machine LearningCreatinineCritical CareHospitalizationHumansAcute Kidney Injury

Keywords

MedicineAcute kidney injuryUrine outputCreatininePredictive modellingIntensive care unitIntensive care medicinePredictive valuePredictive value of testsInternal medicineMachine learningComputer scienceClinical Decision Support SystemHospitalizationCritical CareHumans

Sustainable Development Goals

SDG 3: 3. Good healthSDG 6: 6. Clean waterSDG 0: Good health and well-being

Additional file 1 of Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis

10.6084/m9.figshare.22626263.v1figshare

Additional file 1 of Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis

10.6084/m9.figshare.22626263figshare

Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission

FAIR Checklist

Authors (7)

Funding (3 grants)

Impact

Open Access

Topics

Linked Datasets (2)

Annotations (Europe PMC)