Hasil Pencarian - Michael E Yarrington

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  1. 1
    Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation

    Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation oleh Bankole Olatosi, Sharon Weissman, Xiaoming Li, Chen Liang, Eric G Poon, Michael E Yarrington

    Diterbitkan 2022-09-01
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  2. 2
    Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis

    Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis oleh Feier Chang, Jay Krishnan, Jillian H Hurst, Michael E Yarrington, Deverick J Anderson, Emily C O'Brien, Benjamin A Goldstein

    Diterbitkan 2023-08-01
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  3. 3
    Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections

    Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections oleh Connor R. Deri, Rebekah W. Moehring, Nicholas A. Turner, Justin Spivey, Sonali D. Advani, Rebekah H. Wrenn, Michael E. Yarrington

    Diterbitkan 2024-01-01
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  4. 4
    A modified Delphi approach to develop a trial protocol for antibiotic de-escalation in patients with suspected sepsis

    A modified Delphi approach to develop a trial protocol for antibiotic de-escalation in patients with suspected sepsis oleh Michael E. Yarrington, Rebekah W. Moehring, Michael Z. David, Keith W. Hamilton, Michael Klompas, Chanu Rhee, Kevin Hsueh, Elizabeth Dodds Ashley, Ronda L. Sinkowitz-Cochran, Matthew Ryan, Deverick J. Anderson, for the DETOURS Expert Panel of the CDC Prevention Epicenters Program

    Diterbitkan 2021-01-01
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  5. 5
    Informing estimates of probability of Clostridioides difficile infection for testing and treatment: expert consensus from a modified-Delphi procedure

    Informing estimates of probability of Clostridioides difficile infection for testing and treatment: expert consensus from a modified-Delphi procedure oleh Jonathan D. Baghdadi, Mia Wessel, Erik R. Dubberke, Alison Lydecker, Kimberly C. Claeys, Carolyn Alonso, K.C. Coffey, Michael Durkin, Anne J. Gonzales-Luna, Alice Y. Guh, Jennie H. Kwon, Elise Martin, Preeti Mehrotra, Christopher R. Polage, Michael S. Pulia, Clare Rock, Andrew M. Skinner, Valerie M. Vaughn, Tara Vijayan, Michael E. Yarrington, Daniel J. Morgan, for the CDC Prevention Epicenters Program

    Diterbitkan 2024-01-01
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