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Machine learning analysis of multispectral imaging and clinical risk factors to predict amputation wound healing

Journal of Vascular Surgery(2021)10.1016/j.jvs.2021.06.478Source: DataRank Database

Machine learning analysis of multispectral imaging and clinical risk factors to predict amputation wound healing is a research paper published in Journal of Vascular Surgery (2021). On theSindex it has a DataRank of 0. It has been cited 31 times.

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0DataRank · unranked

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Open Access31 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)OA: bronzeTopics (44)IDs (PubMed)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (10)

Jeffrey E. Thatcher ORCID,David S. Bastawros,Andrew J. Applewhite,Ronald Baxter,Faliu Yi ORCID

Live enrichment

PubMed:34314834

National Institutes of Health

Grant: R43HL142428

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

publisherhttp://www.jvascsurg.org/article/S0741521421016864/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0741521421016864?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0741521421016864?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8712350

Fields of Study

AgedAmputation, SurgicalChronic Limb-Threatening IschemiaFeasibility StudiesFemaleHumansHyperspectral ImagingLower ExtremityMachine LearningMaleMiddle AgedPilot ProjectsPrognosisProspective StudiesRegional Blood FlowRisk AssessmentRisk FactorsSurgical WoundTreatment OutcomeWound Healing

MeSH Terms

Keywords

Critical limb ischemiaLower extremity amputationMachine learningMultispectral imaging