Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study
BackgroundTuberculosis (TB) is a pandemic, being one of the top 10 causes of death and the main cause of death from a single source of infection. Drug-induced liver injury (DILI) is the most common and serious side effect during the treatment of TB. ObjectiveWe ai...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
JMIR Publications
2021-07-01
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| Series: | JMIR Medical Informatics |
| Acceso en liña: | https://medinform.jmir.org/2021/7/e29226 |
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