Empirical Mode Decomposition and k-Nearest Embedding Vectors for Timely Analyses of Antibiotic Resistance Trends

BACKGROUND: Antibiotic resistance is a major worldwide public health concern. In clinical settings, timely antibiotic resistance information is key for care providers as it allows appropriate targeted treatment or improved empirical treatment when the specific results of the patient are not yet avai...

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Detalles Bibliográficos
Autores principales: Teodoro, Douglas, Lovis, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636283/
https://www.ncbi.nlm.nih.gov/pubmed/23637796
http://dx.doi.org/10.1371/journal.pone.0061180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636283/
https://www.ncbi.nlm.nih.gov/pubmed/23637796
http://dx.doi.org/10.1371/journal.pone.0061180

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