Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials
Background: Heterogeneity in Acute Respiratory Distress Syndrome (ARDS), as a consequence of its non-specific definition, has led to a multitude of negative randomised controlled trials (RCTs). Investigators have sought to identify heterogeneity of treatment effect (HTE) in RCTs using clustering alg...
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Auteurs principaux: | Pratik Sinha, Alexandra Spicer, Kevin L Delucchi, Daniel F McAuley, Carolyn S Calfee, Matthew M Churpek |
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Format: | article |
Langue: | EN |
Publié: |
Elsevier
2021
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Accès en ligne: | https://doaj.org/article/dcd0c2641c8d430e8bbc69ed3dea44b9 |
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