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STAN: spatio-temporal attention network for pandemic prediction using real-world evidence

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa322Source: DataRank Database

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence is a research paper published in Journal of the American Medical Informatics Association (2020). On theSindex it has a DataRank of 0. It has been cited 137 times.

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Scored on demand from live citation data

Open Access137 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)Impact (FWCI 2.28)OA: hybridTopics (38)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (8)

Rakshith Sharma,Cheng Qian ORCID,Lucas M. Glass ORCID,Jeffrey Spaeder,Justin Romberg ORCID

Live enrichment

PubMed:33486527 PMC:PMC7928935 OpenAlex:https://openalex.org/W3125676075

National Science Foundation

Grant: SCH-2014438

National Science Foundation

Grant: IIS-1418511

National Science Foundation

Grant: CCF-1533768

National Science Foundation

Grant: IIS-1838042

NIH

Grant: R01 1R01NS107291-01

NIH

Grant: R56HL138415

NINDS NIH HHS

Grant: R01 NS107291

National Institute of Health

FWCI

2.28

Citation Percentile

0.9%

Citation Trend

2020

2021

2022

2023

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2025

2026

hybridLicense: cc-by

journalhttps://academic.oup.com/jamia/article-pdf/28/4/733/36642145/ocaa322.pdf

publisherhttps://academic.oup.com/jamia/article-pdf/28/4/733/36642145/ocaa322.pdf

publisherhttp://academic.oup.com/jamia/article-pdf/28/4/733/36642145/ocaa322.pdf

journalhttps://doi.org/10.1093/jamia/ocaa322

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33330741

Fields of Study

COVID-19 epidemiological studiesCOVID-19 diagnosis using AIMachine Learning in HealthcareCOVID-19Deep LearningEpidemiologic MethodsHumansModels, StatisticalNeural Networks, ComputerPandemicsUnited States

MeSH Terms

HumansEpidemiologic MethodsModels, StatisticalUnited StatesPandemicsDeep LearningNeural Networks, ComputerCOVID-19

Keywords

PandemicComputer scienceCoronavirus disease 2019 (COVID-19)Deep learningArtificial intelligenceTerm (time)Predictive modellingENCODEMachine learningRobustness (evolution)Data miningStatisticsEconometricsInfectious disease (medical specialty)DiseaseMedicineMathematicsGraph Attention Network, Real World EvidencePandemic Prediction

Sustainable Development Goals

SDG 0: Good health and well-being

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence

FAIR Checklist

Authors (8)

Funding (8 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)