Machine learning to predict antimicrobial resistance: future applications in clinical practice?

Author:

Kherabi Yousra,Thy Michaël,Bouzid Donia,Antcliffe David B.,Rawson Timothy Miles,Peiffer-Smadja Nathan

Publisher

Elsevier BV

Reference59 articles.

1. World Health Organization (WHO), Food and Agriculture Organization of the United Nations (FAO) and World Organisation for Animal Health (OIE). Antimicrobial resistance and the United Nations Sustainable Development Cooperation Framework: guidance for United Nations country teams. 2021. ISBN (WHO) 978-92-4-003602-4 (electronic version).

2. The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis;Mestrovic;Lancet Public Health,2022

3. SCCM | Surviving Sepsis Campaign Guidelines 2021. Society of Critical Care Medicine (SCCM). https://sccm.org/Clinical-Resources/Guidelines/Guidelines/Surviving-Sepsis-Guidelines-2021 (accessed 1 Feb 2024).

4. Timing of antibiotic therapy in the ICU;Kollef;Crit Care,2021

5. Machine learning in the clinical microbiology laboratory: has the time come for routine practice?;Peiffer-Smadja;Clin Microbiol Infect,2020

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