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Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release

Annals of Epidemiology(2024)10.1016/j.annepidem.2024.04.011Source: DataRank Database

Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release is a research paper published in Annals of Epidemiology (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (22)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 (13)

Prasad Patil ORCID,Devon Dunn,Elizabeth A. Erdman,Dana Bernson ORCID,Pallavi Aytha Swathi

Live enrichment

PubMed:38710239 PMC:PMC11117432

National Institute of General Medical Sciences

Grant: R35GM141821

NIDA

Grant: DP2DA051864

NIDA

Grant: K01DA051684

National Institutes of Health

Massachusetts Department of Public Health

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

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11117432/pdf/nihms-1994564.pdf

publisherhttps://api.elsevier.com/content/article/PII:S1047279724000620?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1047279724000620?httpAccept=text/plain

MeSH Terms

HumansOpioid-Related DisordersAnalgesics, OpioidDecision TreesPrisonsAdultMiddle AgedPrisonersMassachusettsFemaleMaleYoung AdultOpiate OverdoseEthnicityRacial GroupsWhite

Keywords

Decision treesIncarcerationMachine LearningSubstance UseOpioid OverdoseAlgorithmic Bias

Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release

FAIR Checklist

Authors (13)

Funding (5 grants)

Open Access

Topics

Annotations (Europe PMC)