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Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity.
Seheult, Jansen N; Stram, Michelle N; Contis, Lydia; Pontzer, Raymond E; Hardy, Stephanie; Wertz, William; Baxter, Carla M; Ondras, Michael; Kip, Paula L; Snyder, Graham M; Pasculle, A William.
Afiliação
  • Seheult JN; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
  • Stram MN; Department of Forensic Medicine, NYU Langone Health, New York, New York, USA.
  • Contis L; Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Pontzer RE; Infection Control and Hospital Epidemiology, UPMC, Pittsburgh, Pennsylvania, USA.
  • Hardy S; Laboratory Service Center, UPMC, Pittsburgh, Pennsylvania, USA.
  • Wertz W; Laboratory Service Center, UPMC, Pittsburgh, Pennsylvania, USA.
  • Baxter CM; Wolff Center, UPMC, Pittsburgh, Pennsylvania, USA.
  • Ondras M; Laboratory Service Center, UPMC, Pittsburgh, Pennsylvania, USA.
  • Kip PL; Wolff Center, UPMC, Pittsburgh, Pennsylvania, USA.
  • Snyder GM; Infection Control and Hospital Epidemiology, UPMC, Pittsburgh, Pennsylvania, USA.
  • Pasculle AW; Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
J Clin Microbiol ; 61(6): e0029123, 2023 06 20.
Article em En | MEDLINE | ID: mdl-37227272
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Urinárias Tipo de estudo: Diagnostic_studies / Guideline / Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Middle aged Idioma: En Revista: J Clin Microbiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Urinárias Tipo de estudo: Diagnostic_studies / Guideline / Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Middle aged Idioma: En Revista: J Clin Microbiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos