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

Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae229Source: DataRank Database

Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models is a research paper published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 0. It has been cited 25 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access25 citations

Download PDF

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 (9 grants)Impact (FWCI 6.23)OA: bronzeTopics (31)IDs (PubMed, PMC, 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)

Bernie Chen,Allan Guo,Shiyi Jiang ORCID,Anru R. Zhang ORCID,Muhang Tian

Live enrichment

PubMed:39222376 PMC:PMC11491591 OpenAlex:https://openalex.org/W4402119650

NSF

Grant: CAREER-2203741

NIH

Grant: R01HL169347

NIH

Grant: R01HL168940

Department of Computer Science

Duke University

CS+

Department of Computer Science

CS+

Duke University

FWCI

6.23

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

bronzeLicense: https://academic.oup.com/pages/standard-publication-reuse-rights

journalhttps://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae229/58997227/ocae229.pdf

publisherhttps://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae229/58997227/ocae229.pdf

publisherhttps://academic.oup.com/jamia/article-pdf/31/11/2529/59813606/ocae229.pdf

journalhttps://doi.org/10.1093/jamia/ocae229

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39222376

Fields of Study

Machine Learning in HealthcarePrivacy-Preserving Technologies in DataTime Series Analysis and ForecastingElectronic Health RecordsHumansConfidentialityComputer SecurityModels, StatisticalPrivacyDatabases, Factual

MeSH Terms

ConfidentialityHumansModels, StatisticalDatabases, FactualComputer SecurityPrivacyElectronic Health Records

Keywords

Computer scienceDiscriminative modelData miningElectronic health recordProbabilistic logicFidelityBaseline (sea)Machine learningHealth careData scienceArtificial intelligenceElectronic Health RecordsDiffusion ModelsTime Series Generation

Sustainable Development Goals

SDG 0: Reduced inequalities