Machine learning-based individual treatment effect estimation of azithromycin on COPD exacerbations

K. Verstraete (Leuven, Belgium), I. Gyselinck (Leuven, Belgium), M. Staes (Leuven, Belgium), S. Lindberg (Minneapolis, United States), R. Albert (Denver, United States), J. Connett (Minneapolis, United States), M. De Vos (Leuven, Belgium), W. Janssens (Leuven, Belgium)

Source: International Congress 2022 – COPD treatment: new mechanisms and novel insights
Session: COPD treatment: new mechanisms and novel insights
Session type: Oral Presentation
Number: 750

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Citations should be made in the following way:
K. Verstraete (Leuven, Belgium), I. Gyselinck (Leuven, Belgium), M. Staes (Leuven, Belgium), S. Lindberg (Minneapolis, United States), R. Albert (Denver, United States), J. Connett (Minneapolis, United States), M. De Vos (Leuven, Belgium), W. Janssens (Leuven, Belgium). Machine learning-based individual treatment effect estimation of azithromycin on COPD exacerbations. 750

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