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Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials.

Kenneth VerstraeteIwein GyselinckHelene HutsNilakash DasMarko TopalovicMaarten de VosWim Janssens
Published in: Thorax (2023)
This study shows that ML models for causal inference can be used to identify individual response to different COPD treatments and highlight treatment traits. Such models could become clinically useful tools for individual treatment decisions in COPD.
Keyphrases
  • chronic obstructive pulmonary disease
  • machine learning
  • cystic fibrosis
  • air pollution
  • genome wide
  • dna methylation
  • artificial intelligence