Antimicrobial resistance and machine learning: past, present, and future

Machine learning has become ubiquitous across all industries, including the relatively new application of predicting antimicrobial resistance. As the first bibliometric review in this field, we expect it to inspire further research in this area. The review employs standard bibliometric indicators su...

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Detalles Bibliográficos
Autores principales: Farhat, Faiza, Athar, Md Tanwir, Ahmad, Sultan, Madsen, Dag Øivind, Sohail, Shahab Saquib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250749/
https://www.ncbi.nlm.nih.gov/pubmed/37303800
http://dx.doi.org/10.3389/fmicb.2023.1179312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250749/
https://www.ncbi.nlm.nih.gov/pubmed/37303800
http://dx.doi.org/10.3389/fmicb.2023.1179312

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