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Prediction of Maternal Hemorrhage: Using Machine Learning to Identify Patients at Risk

medRxiv(2020)10.1101/2020.06.04.20122663Source: DataRank Database

Prediction of Maternal Hemorrhage: Using Machine Learning to Identify Patients at Risk is a research paper published in medRxiv (2020). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)OA: greenTopics (4)IDs (PubMed)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 (5)

Francine Hughes ORCID,Wenke Liu ORCID,Mark Grivainis ORCID,David Fenyö ORCID,Jill M. Westcott ORCID

Live enrichment

PubMed:21097893

National Institutes of Health

Grant: 3UL1TR001445-03S1

Clinical and Translational Science Award

greenLicense: cc-by-nc-nd

GREENhttps://www.jmir.org/2022/7/e34108/PDF

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2020/06/05/2020.06.04.20122663.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.06.04.20122663

https://doi.org/10.1101/2020.06.04.20122663

https://dx.doi.org/10.1101/2020.06.04.20122663

Fields of Study

MedicineComputer Science03 medical and health sciences0302 clinical medicine

Sustainable Development Goals

SDG 3: 3. Good health