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Artificial Intelligence in Acute Kidney Injury Prediction

Advances in Chronic Kidney Disease(2022)10.1053/j.ackd.2022.07.009Source: DataRank Database

Artificial Intelligence in Acute Kidney Injury Prediction is a research paper published in Advances in Chronic Kidney Disease (2022). On theSindex it has a DataRank of 0. It has been cited 37 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access37 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: greenTopics (17)IDs (PubMed, PMC)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Jay L. Koyner ORCID,Tushar Bajaj ORCID

Live enrichment

PubMed:36253028 PMC:PMC10259199

NIDDK Division of Diabetes Endocrinology and Metabolic Diseases

Grant: R01DK126933

National Institutes of Health

Grant: 1R01DK126933-01A1

Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney Injury

BioPorto

Fresenius Medical Care North America

Baxter International

National Institutes of Health

greenLicense: Elsevier TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10259199/pdf/nihms-1903366.pdf

publisherhttps://api.elsevier.com/content/article/PII:S1548559522001367?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1548559522001367?httpAccept=text/plain

https://doi.org/10.1053/j.ackd.2022.07.009

https://pubmed.ncbi.nlm.nih.gov/36253028

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansHospitalizationRisk AssessmentNephrologyArtificial IntelligenceAcute Kidney Injury

Keywords

Artificial intelligenceAcute Kidney InjuryMachine LearningRisk PredictionRenal Replacement TherapyHospitalizationNephrologyHumansRisk Assessment

Sustainable Development Goals

SDG 3: 3. Good health