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Prediction model to identify patients with hypereosinophilic syndrome using real-world data

Journal of Allergy and Clinical Immunology Global(2025)10.1016/j.jacig.2025.100588Source: DataRank Database

Prediction model to identify patients with hypereosinophilic syndrome using real-world data is a research paper published in Journal of Allergy and Clinical Immunology Global (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.86)OA: goldTopics (11)IDs (PubMed, PMC, OpenAlex)

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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Authors (11)

Yen Chung ORCID,Donna Carstens,Erin Cook ORCID,Fan Mu ORCID,Mu Cheng

Live enrichment

PubMed:41312450 PMC:PMC12651482 OpenAlex:https://openalex.org/W4415536428

AstraZeneca Pharmaceuticals LP

AstraZeneca

National Institutes of Health

FWCI

0.86

Citation Percentile

0.8%

Citation Trend

2025

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.jacig.2025.100588

publisherhttps://doi.org/10.1016/j.jacig.2025.100588

publisherhttps://api.elsevier.com/content/article/PII:S2772829325001894?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2772829325001894?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41312450

Fields of Study

Eosinophilic Disorders and SyndromesEosinophilic EsophagitisRespiratory viral infections research

Keywords

Hypereosinophilic syndromeSupport vector machineFeature (linguistics)Predictive modellingMEDLINEPrediction modelPrevalenceMachine Learning