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Using machine learning to characterize the impact of oseltamivir on clinical failure in hospitalized patients with lower respiratory tract infection
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  • Timothy Wiemken,
  • Stephen Furmanek,
  • Ruth Carrico,
  • Paula Peyrani,
  • Daniel Hoft,
  • Alicia Fry,
  • Julio Ramirez
Timothy Wiemken
Saint Louis University

Corresponding Author:[email protected]

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Stephen Furmanek
University of Louisville
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Ruth Carrico
University of Louisville
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Paula Peyrani
University of Louisville
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Daniel Hoft
Saint Louis University
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Alicia Fry
Centers for Disease Control and Prevention
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Julio Ramirez
University of Louisville Medical School
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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.