Using machine learning to characterize the impact of oseltamivir on
clinical failure in hospitalized patients with lower respiratory tract
We used causal forest machine learning to re-analyze data from a
randomized study evaluating oseltamivir in hospitalized patients with
lower respiratory tract infection. Influenza virus infected patients had
26% lower risk of clinical failure when treated with oseltamivir (95%
CI 3.2% - 48.0%), suggesting it may be a useful intervention.