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Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTM

IEEE Transactions on Biomedical Engineering(2024)10.1109/tbme.2024.3494732Source: DataRank Database

Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTM is a research paper published in IEEE Transactions on Biomedical Engineering (2024). On theSindex it has a DataRank of 0. It has been cited 13 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access13 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 7.15)OA: greenTopics (15)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 (2)

Samantha Kleinberg ORCID,Yuan Shen ORCID

Live enrichment

PubMed:39514345 PMC:PMC11999170 OpenAlex:https://openalex.org/W4404180197

National Science Foundation

Grant: 1915182

National Institutes of Health

Grant: U54TR004279

FWCI

7.15

Citation Percentile

1.0%

Citation Trend

2025

2026

greenLicense: cc-by

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11999170/pdf/nihms-2068062.pdf

publisherhttps://ieeexplore.ieee.org/ielam/10/10935773/10748403-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx8/10/10935773/10748403.pdf?arnumber=10748403

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11999170/

Fields of Study

Artificial Intelligence in HealthcareSpectroscopy and Chemometric AnalysesFault Detection and Control Systems

MeSH Terms

Deep LearningAdultBlood GlucoseDiabetes Mellitus, Type 1ForecastingHumansSignal Processing, Computer-AssistedBlood Glucose Self-MonitoringPancreas, Artificial

Keywords

Computer scienceArtificial intelligenceMachine learning

Sustainable Development Goals

SDG 0: Zero hunger