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Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella.
Nguyen, Marcus; Long, S Wesley; McDermott, Patrick F; Olsen, Randall J; Olson, Robert; Stevens, Rick L; Tyson, Gregory H; Zhao, Shaohua; Davis, James J.
Afiliação
  • Nguyen M; University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.
  • Long SW; Computing, Environment and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA.
  • McDermott PF; Center for Molecular and Translational Human Infectious Diseases Research, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute and Houston Methodist Hospital, Houston, Texas, USA.
  • Olsen RJ; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, USA.
  • Olson R; U.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA.
  • Stevens RL; Center for Molecular and Translational Human Infectious Diseases Research, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute and Houston Methodist Hospital, Houston, Texas, USA.
  • Tyson GH; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, USA.
  • Zhao S; University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.
  • Davis JJ; Computing, Environment and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA.
J Clin Microbiol ; 57(2)2019 02.
Article em En | MEDLINE | ID: mdl-30333126

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Salmonella / Infecções por Salmonella / Testes de Sensibilidade Microbiana / Farmacorresistência Bacteriana / Técnicas de Genotipagem / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Salmonella / Infecções por Salmonella / Testes de Sensibilidade Microbiana / Farmacorresistência Bacteriana / Técnicas de Genotipagem / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article