Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections
Urinary tract infections are one of the most common bacterial infections worldwide; however, increasing antimicrobial resistance in bacterial pathogens is making it challenging for clinicians to correctly prescribe patients appropriate antibiotics. In this study, we present four interpretable machin...
| Main Authors: | , , , |
|---|---|
| 格式: | Journal article |
| 语言: | English |
| 出版: |
Springer Nature
2023
|