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Use of disease embedding technique to predict the risk of progression to end-stage renal disease

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103409Source: DataRank Database

Use of disease embedding technique to predict the risk of progression to end-stage renal disease is a research paper published in Journal of Biomedical Informatics (2020). On theSindex it has a DataRank of 0.449. It has been cited 19 times.

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0.449DataRank · unranked

Scored on demand from live citation data

Open Access19 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: bronzeTopics (12)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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.449

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (5)

Avrum Gillespie ORCID,Djordje Gligorijevic ORCID,Jelena Gligorijević ORCID,Zoran Obradović ORCID,Fang Zhou ORCID

Live enrichment

PubMed:32304869 PMC:PMC9885429

NIDDK NIH HHS

Grant: K23 DK111943

Natural Science Foundation of Shanghai

Pennsylvania Department of Health

National Institutes of Health

NSFC-Henan Joint Fund

bronzeLicense: http://www.elsevier.com/open-access/userlicense/1.0/

publisherhttps://www.sciencedirect.com/science/article/pii/S153204642030037X/pdf

publisherhttps://api.elsevier.com/content/article/PII:S153204642030037X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S153204642030037X?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9885429

MeSH Terms

HumansKidney Failure, ChronicDisease ProgressionGlomerular Filtration RateRisk FactorsRenal Insufficiency, Chronic

Keywords

Chronic Kidney DiseaseEnd Stage Renal DiseaseDisease ProgressionUnsupervised LearningElectronic Health RecordsLow-dimensional Disease Representation

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