Machine learning to predict urine culture antibiotic sensitivities in the emergency department

Authors

Ronna L. Campbell (ORCID: https://orcid.org/0000-0001-6305-6990)
Johnathan Michael Sheele (ORCID: https://orcid.org/0000-0003-4503-8590)
Derick D. Jones (ORCID: https://orcid.org/0000-0001-6638-7293)

Institutions

WinnMed (US)
Mayo Clinic in Arizona (US)
Mayo Clinic in Florida (US)

Publication Details

Journal: Heliyon
Published: 2025-02-01
DOI: https://doi.org/10.1016/j.heliyon.2025.e42737
Citations: 2
Primary Topic: Urinary Tract Infections Management
Type: article
Field-Weighted Citation Impact: 2.71

Funders

National Institutes of Health
National Center for Advancing Translational Sciences

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article

Machine learning to predict urine culture antibiotic sensitivities in the emergency department

Ronna L. Campbell, Johnathan Michael Sheele, Derick D. Jones

Feb 1, 2025

2 citations

Heliyon

Urinary Tract Infections Management

2.71

article

Machine learning to predict urine culture antibiotic sensitivities in the emergency department

Ronna L. Campbell, Johnathan Michael Sheele, Derick D. Jones

February 1, 2025article en

2 citations

Abstract

No abstract available for this paper.

HeliyonVol. 11(4)

WinnMed (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US)

National Institutes of Health, National Center for Advancing Translational Sciences

Zero hunger

Openalex Percentile: Top 12%

Urinary Tract Infections Management

2.71

DOI Open Access PDF OpenAlex

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