Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case-control study

UNC Libraries(2024)10.17615/xtc0-ed39Source: DataRank Database

Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case-control study is a research paper published in UNC Libraries (2024). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Free full text

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: greenTopics (27)IDs (PubMed, OpenAlex)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (5)

Rashmi Muthukkumar ORCID,Ruth S. Weinstock ORCID,Anna R. Kahkoska ORCID,Mladen Victor Wickerhauser ORCID,Nikki L. B. Freeman ORCID

Live enrichment

PubMed:20725694 OpenAlex:https://openalex.org/W4400139863

National Institutes of Health

Grant: 5KL2TR002490-05

North Carolina Translational and Clinical Science Institute (NC TraCS) KL2

FWCI

0.00

Citation Percentile

0.2%

greenLicense: CC BY NC

repositoryhttps://doi.org/10.17615/xtc0-ed39

https://doi.org/10.1136/bmjdrc-2023-003748

https://dx.doi.org/10.17615/xtc0-ed39

https://pubmed.ncbi.nlm.nih.gov/38413176

http://dx.doi.org/10.1136/bmjdrc-2023-003748

Fields of Study

Diabetes Management and ResearchArtificial Intelligence in HealthcareMachine Learning in Healthcare

Keywords

Post-hoc analysisHypoglycemiaPost hocMedicineDiabetes mellitusType 2 diabetesComputer sciencePediatricsArtificial intelligenceMachine learningInternal medicineEndocrinologyMaleBlood GlucoseBlood Glucose Self-MonitoringRC648-665Diseases of the endocrine glands. Clinical endocrinologyDiabetes ComplicationsDiabetes Mellitus, Type 1Case-Control StudiesHumansEpidemiology/Health services researchFemaleAged

Sustainable Development Goals

SDG 3: 3. Good health