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Artificial intelligence for COVID-19: battling the pandemic with computational intelligence

Intelligent Medicine(2021)10.1016/j.imed.2021.09.001Source: DataRank Database

Artificial intelligence for COVID-19: battling the pandemic with computational intelligence is a research paper published in Intelligent Medicine (2021). On theSindex it has a DataRank of 0. It has been cited 44 times.

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0DataRank · unranked

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Open Access44 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: goldTopics (4)IDs (PubMed, PMC)Annotations (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Chang Su ORCID,Yunyu Xiao ORCID,Fei Wang ORCID,Zhenxing Xu ORCID

Live enrichment

PubMed:34697578 PMC:PMC8529224

National Science Foundation

Grant: 1750326

National Science Foundation

Grant: 2027970

National Institutes of Health

Grant: R01MH124740

National Institutes of Health

Grant: RF1AG072449

Bill and Melinda Gates Foundation

Grant: CORONAVIRUSHUB-D-21-00125

goldLicense: cc-by-nc-nd

publisherhttps://doi.org/10.1016/j.imed.2021.09.001

publisherhttps://api.elsevier.com/content/article/PII:S2667102621000863?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2667102621000863?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8529224

repositoryhttps://doaj.org/article/939fa982ab6e42c8a73053f91ea768f2

Keywords

Artificial intelligenceMachine LearningElectronic Health RecordCovid-19 Pandemic

Artificial intelligence for COVID-19: battling the pandemic with computational intelligence

FAIR Checklist

Authors (4)

Funding (5 grants)

Open Access

Topics

Annotations (Europe PMC)