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Pre-trained large language models outperform statistics and machine learning forecasting visits in the emergency departments

The American Journal of Emergency Medicine(2025)10.1016/j.ajem.2025.09.008Source: DataRank Database

Pre-trained large language models outperform statistics and machine learning forecasting visits in the emergency departments is a research paper published in The American Journal of Emergency Medicine (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 0.00)OA: closedTopics (32)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Chin‐Chieh Wu,Shuhui Chen ORCID,Kuan-Fu Chen,Yi-Chang Yen

Live enrichment

PubMed:40945473 OpenAlex:https://openalex.org/W4414082986

National Institutes of Health

Grant: 75N93021C00045

Chang Gung Memorial Hospital

Grant: KMRPC3M003

Chang Gung Memorial Hospital

Grant: CPRPG2P0011

Chang Gung Memorial Hospital

Grant: CMRPG2P0121

Chang Gung Memorial Hospital

Grant: CMRPG2P0181

Chang Gung Memorial Hospital

Grant: CORPG2P0071

National Science and Technology Council

Grant: 111-2314-B-182 -017 -MY3

National Science and Technology Council

Grant: NSTC 113-2321-B-182-003

FWCI

0.00

Citation Percentile

0.3%

closedLicense: http://www.elsevier.com/open-access/userlicense/1.0/

publisherhttps://api.elsevier.com/content/article/PII:S0735675725006199?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0735675725006199?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.ajem.2025.09.008

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40945473

Fields of Study

Emergency and Acute Care StudiesCOVID-19 and healthcare impactsData-Driven Disease SurveillanceHumansEmergency Service, HospitalMachine LearningCOVID-19TaiwanForecastingModels, StatisticalSARS-CoV-2Large Language Models

MeSH Terms

Machine LearningCOVID-19SARS-CoV-2Large Language ModelsEmergency Service, HospitalForecastingHumansTaiwanModels, Statistical

Keywords

Time seriesPandemicPredictive modellingRandom forestCoronavirus disease 2019 (COVID-19)Time series analysisLong Short-term MemoryEd VisitsSarimaxProphetPre-trained Llm

Pre-trained large language models outperform statistics and machine learning forecasting visits in the emergency departments

FAIR Checklist

Authors (4)

Funding (8 grants)

Impact

Open Access

Topics