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Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models

Proceedings of the ... International Florida Artificial Intelligence Research Society Conference(2023)10.32473/flairs.36.133358Source: DataRank Database

Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models is a research paper published in Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2023). 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 (1 grants)Impact (FWCI 0.00)OA: goldTopics (19)IDs (PubMed, 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)

Katherine Brown ORCID,Steve Talbert,Doug Talbert,Katherine A. Phillips ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W4377018778

National Institutes of Health

Grant: 1R15LM013824-01A1

Making Computerized Trauma Triage Decision Support Accurate and Trustworthy

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by-nc

conferencehttps://journals.flvc.org/FLAIRS/article/download/133358/137562

publisherhttps://journals.flvc.org/FLAIRS/article/download/133358/137562

conferencehttp://dx.doi.org/10.32473/flairs.36.133358

repositoryhttps://doaj.org/article/b2edfbfb829e44a0af61baaf06374f08

https://doi.org/10.32473/flairs.36.133358

Fields of Study

Trauma and Emergency Care StudiesEmergency and Acute Care StudiesTraffic and Road Safety03 medical and health sciences0302 clinical medicine

Keywords

TriageComputer scienceDimension (graph theory)Machine learningDomain (mathematical analysis)Artificial intelligenceData miningMedicineMathematicsMedical emergencyTechnologyTElectronic computers. Computer scienceQA75.5-76.95

Sustainable Development Goals

SDG 0: No poverty