Pathogen diagnostics are strong determinants of azithromycin effects on diarrhea duration, but host factors may better predict benefits for severe outcomes. In this work, authors utilise a machine learning-based approach to evaluate personalized rules for the decision to treat watery diarrhea with azithromycin.
- Sara S. Kim
- Allison Codi
- Elizabeth T. Rogawski McQuade
