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

Distilling the knowledge from large-language model for health event prediction

Scientific Reports(2024)10.1038/s41598-024-75331-2Source: DataRank Database

Distilling the knowledge from large-language model for health event prediction is a research paper published in Scientific Reports (2024). On theSindex it has a DataRank of 0. It has been cited 20 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access20 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 (4 grants)Impact (FWCI 5.03)OA: goldTopics (34)IDs (PubMed, PMC, OpenAlex)SDGs (2)

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 (4)

Jiancheng Ye ORCID,Xia Hu ORCID,Na Zou ORCID,Sirui Ding ORCID

Live enrichment

PubMed:39730390 PMC:PMC11680798 OpenAlex:https://openalex.org/W4405841623

National Science Foundation

Grant: 2450662

Collaborative Research: III: Medium: Towards Effective Detection and Mitigation for Shortcut Learning: A Data Modeling Framework

National Institutes of Health

Grant: 3OT2OD032581-01S6

AIM-AHEAD Coordinating Center - All Four Cores

National Science Foundation

Grant: 2239257

CAREER: Exploring and Exploiting Data-Centric Modeling for Fairness in Machine Learning

National Science Foundation

Grant: 1900990

III: Medium: Collaborative Research: Towards Effective Interpretation of Deep Learning: Prediction, Representation, Modeling and Utilization

FWCI

5.03

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://www.nature.com/articles/s41598-024-75331-2.pdf

publisherhttps://www.nature.com/articles/s41598-024-75331-2.pdf

publisherhttps://www.nature.com/articles/s41598-024-75331-2

journalhttps://doi.org/10.1038/s41598-024-75331-2

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39730390

Fields of Study

Machine Learning in HealthcareArtificial Intelligence in HealthcareTopic Modeling02 engineering and technology0202 electrical engineering, electronic engineering, information engineeringHumansElectronic Health RecordsNatural Language ProcessingIntensive Care UnitsMachine Learning

MeSH Terms

Machine LearningHumansIntensive Care UnitsNatural Language ProcessingElectronic Health Records

Keywords

Computer scienceEvent (particle physics)Natural language processingData scienceArtificial intelligenceCardiovascular diseaseMulti-modal LearningKnowledge DistillationLarge-language ModelHealth Event PredictionScienceQRArticleMachine LearningIntensive Care UnitsMedicineHumansElectronic Health Records

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Zero hunger