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Dialysis resource allocation in critical care: the impact of the COVID-19 pandemic and the promise of big data analytics

Frontiers in Nephrology(2023)10.3389/fneph.2023.1266967Source: DataRank Database

Dialysis resource allocation in critical care: the impact of the COVID-19 pandemic and the promise of big data analytics is a research paper published in Frontiers in Nephrology (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: goldTopics (8)IDs (PubMed, PMC)

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)

Sandeep K. Mallipattu ORCID,Farrukh M. Koraishy ORCID

Live enrichment

PubMed:37965069 PMC:PMC10641281

BLRD VA

Grant: I01 BX005300

NIDDK NIH HHS

Grant: R01 DK121846

BLRD VA

Grant: I01 BX003698

NIOSH CDC HHS

Grant: R21 OH012237

NIDDK NIH HHS

Grant: R01 DK112984

goldLicense: cc-by

GOLDhttps://www.frontiersin.org/articles/10.3389/fneph.2023.1266967/pdf?isPublishedV2=False

publisherhttps://www.frontiersin.org/articles/10.3389/fneph.2023.1266967/pdf?isPublishedV2=False

publisherhttps://www.frontiersin.org/articles/10.3389/fneph.2023.1266967/full

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10641281/pdf/fneph-03-1266967.pdf

repositoryhttps://doaj.org/article/d4fe9be2ba9344529f0c12edd7b76be3

Fields of Study

Medicine

Keywords

Artificial intelligenceDialysisCritical CareMachine LearningBig DataResource DeploymentCovid-19