Multitask Neural Networks to Predict Antimicrobial Susceptibility Results of Escherichia coli Clinical Isolates
Background: Machine-learning (ML) models, such as neural networks (NNs), have been proposed to predict antimicrobial susceptibility at the patient level while incorporating patient-level information from electronic medical record (EMR) systems. However, NNs often do not perform well in predicting ra...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2024-07-01
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| Series: | Antimicrobial Stewardship & Healthcare Epidemiology |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2732494X24001323/type/journal_article |