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Utilizing Pretrained Vision Transformers and Large Language Models for Epileptic Seizure Prediction

PubMed(2025)10.1109/cdma61895.2025.00028Source: DataRank Database

Utilizing Pretrained Vision Transformers and Large Language Models for Epileptic Seizure Prediction is a research paper published in PubMed (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 2.90)OA: greenTopics (16)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)

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Authors (3)

Umair Mohammad ORCID,Fahad Saeed ORCID,Paras Parani

Live enrichment

PubMed:40337012 PMC:PMC12056660 OpenAlex:https://openalex.org/W4408199702

National Science Foundation

Grant: NSF TI-2213951,OAC-2312599

NIH

Grant: R35GM153434

FWCI

2.90

Citation Percentile

0.9%

Citation Trend

2026

greenLicense: https://doi.org/10.15223/policy-029

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12056660/pdf/nihms-2068962.pdf

publisherhttp://xplorestaging.ieee.org/ielx8/10908599/10908731/10908748.pdf?arnumber=10908748

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12056660

https://doi.org/10.1109/cdma61895.2025.00028

Fields of Study

Time Series Analysis and ForecastingMachine Learning in HealthcareAdvanced Text Analysis Techniques

Keywords

Computer scienceTransformerEpileptic seizureArtificial intelligenceEpilepsyEngineeringNeurosciencePsychologyElectrical engineeringSeizure predictionElectroencephalography (EEG)Vision Transformer (Vit)Large Language Model (Llm)

Sustainable Development Goals

SDG 0: Gender equality