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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Detalles Bibliográficos
Autores principales: Sinha, Pratik, Spicer, Alexandra, Delucchi, Kevin L, McAuley, Daniel F, Calfee, Carolyn S, Churpek, Matthew M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645454/
https://www.ncbi.nlm.nih.gov/pubmed/34861492
http://dx.doi.org/10.1016/j.ebiom.2021.103697

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645454/
https://www.ncbi.nlm.nih.gov/pubmed/34861492
http://dx.doi.org/10.1016/j.ebiom.2021.103697

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