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

Suicide Risk Assessment on Social Media with Semi-Supervised Learning

PubMed(2024)10.1109/bigdata62323.2024.10825422Source: DataRank Database

Suicide Risk Assessment on Social Media with Semi-Supervised Learning is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 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)OA: greenTopics (13)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)

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)

Hui Ma ORCID,Song Wang ORCID,Yifan Peng ORCID,Max Lovitt

Live enrichment

PubMed:39896202 PMC:PMC11786971

NIH HHS

Grant: OT2 OD032581

National Science Foundation

Grant: 2145640

CAREER: Knowledge-enhanced and interpretable radiology report generation

National Institutes of Health

Grant: 3OT2OD032581-01S6

AIM-AHEAD Coordinating Center - All Four Cores

National Science Foundation

greenLicense: STM Policy #29

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11786971/pdf/nihms-2051417.pdf

publisherhttp://xplorestaging.ieee.org/ielx8/10824975/10824942/10825422.pdf?arnumber=10825422

https://doi.org/10.1109/bigdata62323.2024.10825422

https://dx.doi.org/10.48550/arxiv.2411.12767

https://pubmed.ncbi.nlm.nih.gov/39896202

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Semi-supervised LearningSuicide RiskNatural Language ProcessingSocial MediaSocial and Information Networks (cs.SI)FOS: Computer and information sciencesComputer Science - Computation and LanguageArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceComputer Science - Social and Information NetworksComputation and Language (cs.CL)