Empirical mode decomposition and k-nearest embedding vectors for timely analyses of antibiotic resistance trends.
<h4>Background</h4>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 patie...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2013
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/fac3f268582248e684b27fe6ce42e444 |
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