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

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 algorithms. We...

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Vydáno v:	EBioMedicine Ročník 74; s. 103697
Hlavní autoři:	Sinha, Pratik, Spicer, Alexandra, Delucchi, Kevin L, McAuley, Daniel F, Calfee, Carolyn S, Churpek, Matthew M
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 01.12.2021 Elsevier
Témata:	Advanced Basic Science ARDS Clustering Heterogeneity of treatment effect Internal Medicine LCA machine learning RCTs Research paper LCA Clustering machine learning RCTs ARDS Heterogeneity of treatment effect
ISSN:	2352-3964, 2352-3964
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