Leveraging Large Data, Statistics, and Machine Learning to Predict the Emergence of Resistant <i>E. coli</i> Infections
Drug-resistant Gram-negative bacterial infections, on average, increase the length of stay (LOS) in U.S. hospitals by 5 days, translating to approximately $15,000 per patient. We used statistical and machine-learning models to explore the relationship between antibiotic usage and antibiotic resistan...
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| Main Authors: | , , |
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| Format: | Book |
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MDPI AG,
2024-03-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |