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Correlates of cancer prevalence across census tracts in the United States: A Bayesian machine learning approach

Spatial and Spatio-temporal Epidemiology(2022)10.1016/j.sste.2022.100522Source: DataRank Database

Correlates of cancer prevalence across census tracts in the United States: A Bayesian machine learning approach is a research paper published in Spatial and Spatio-temporal Epidemiology (2022). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)Impact (FWCI 0.32)OA: greenTopics (28)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 (4)

Liangyuan Hu ORCID,Yan Li ORCID,Bian Liu ORCID,Li Niu ORCID

Live enrichment

PubMed:35934328 PMC:PMC12906668 OpenAlex:https://openalex.org/W4281893479

National Institutes of Health

Grant: ME2017C3 9041

National Heart, Lung, and Blood Institute

Grant: R01HL141427

National Cancer Institute

Grant: R21CA235153

National Cancer Institute

Grant: R21CA245855

National Institute on Minority Health and Health Disparities

Grant: R01MD013886

NHLBI NIH HHS

Grant: R01 HL159077

FWCI

0.32

Citation Percentile

0.6%

Citation Trend

2025

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

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12906668/

publisherhttps://api.elsevier.com/content/article/PII:S1877584522000454?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1877584522000454?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.sste.2022.100522

Fields of Study

Health disparities and outcomesAir Quality and Health ImpactsGlobal Cancer Incidence and Screening

MeSH Terms

Machine LearningCensus TractAdultBayes TheoremHumansNeoplasmsResidence CharacteristicsSocioeconomic FactorsUnited StatesPrevalence

Keywords

CensusEnvironmental healthPovertyPublic healthDemographyPopulationGerontologyCensus tractCancerMedicineGeographyVariable selectionMachine LearningNeighborhoodCancer Prevalence

Sustainable Development Goals

SDG 0: No poverty