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Regression Trees With Fused Leaves

Statistics in Medicine(2024)10.1002/sim.10272Source: DataRank Database

Regression Trees With Fused Leaves is a research paper published in Statistics in Medicine (2024). On theSindex it has a DataRank of 0.

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Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.00)OA: greenTopics (27)IDs (PubMed, PMC, OpenAlex)

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 (7)

Lei Liu ORCID,Lili Liu ORCID,Ruiwen Zhou ORCID,Guoqiao Wang,Elise Dusseldorp ORCID

Live enrichment

PubMed:39567228 PMC:PMC11771769 OpenAlex:https://openalex.org/W4404554384

National Institute on Minority Health and Health Disparities

Grant: 2G12MD007592

National Institutes of Health

Grant: R21 AG084054

National Institutes of Health

Grant: R21 EY033518

National Institutes of Health

Grant: UL1 TR002345

NIMHD NIH HHS

Grant: U54 MD007592

NIMHD NIH HHS

Grant: G12 MD007592

FWCI

0.00

Citation Percentile

0.2%

greenLicense: http://onlinelibrary.wiley.com/termsAndConditions#vor

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11771769/pdf/nihms-2031747.pdf

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.10272

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11771769/

journalhttps://doi.org/10.1002/sim.10272

Fields of Study

Forest ecology and managementMetabolomics and Mass Spectrometry StudiesRemote Sensing in Agriculture

MeSH Terms

AlgorithmsComputer SimulationDecision TreesHumansObesityRegression AnalysisModels, Statistical

Keywords

InterpretabilityComputer scienceTree (set theory)PruningDecision treeRegressionMachine learningArtificial intelligenceRecursive partitioningRegularization (linguistics)Data miningMathematicsStatisticsCartRegression TreesFused RegularizationTree Model Selection