Using machine learning to characterize the impact of oseltamivir on clinical failure in hospitalized patients with lower respiratory tract infection -

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Using machine learning to characterize the impact of oseltamivir on clinical failure in hospitalized patients with lower respiratory tract infection

Timothy Wiemken,
Stephen Furmanek,
Ruth Carrico,
Paula Peyrani,
Daniel Hoft,
Alicia Fry,
Julio Ramirez

Abstract

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.