Integrating socioeconomic deprivation indices and electronic health record data to predict antimicrobial resistance
Abstract We developed machine learning models to predict the presence of AMR organisms in blood cultures obtained at the first patient encounter, offering a new and inspiring direction for antimicrobial resistance management. Three supervised machine learning classifiers were used: penalized logisti...
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| Principais autores: | , , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2025-03-01
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| Series: | npj Antimicrobials and Resistance |
| Acceso en liña: | https://doi.org/10.1038/s44259-025-00090-7 |
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