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Machine learning models to detect opioid misuse in Emergency Department patients at triage

medRxiv(2025)10.1101/2025.07.18.25331782Source: DataRank Database

Machine learning models to detect opioid misuse in Emergency Department patients at triage is a research paper published in medRxiv (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (12)IDs (PubMed, OpenAlex)

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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 (9)

Usman Shahid,Natalie Parde ORCID,Sami Muslmani,Huiyi Hu ORCID,Dillon Thorpe

Live enrichment

PubMed:40791703 OpenAlex:https://openalex.org/W4413108417

NIDA NIH HHS

Grant: K23 DA055061

NIDA NIH HHS

Grant: R61 DA057629

NCATS NIH HHS

Grant: UL1 TR002003

greenLicense: cc-by

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2025/07/18/2025.07.18.25331782.full.pdf

repositoryhttps://doi.org/10.1101/2025.07.18.25331782

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40791703

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12338946

Fields of Study

Opioid Use Disorder TreatmentEmergency and Acute Care StudiesClinical Reasoning and Diagnostic Skills

Keywords

Emergency departmentTriageOpioidMedical emergencyMedicineEmergency medicinePsychologyPsychiatryInternal medicine