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.
- DOI
- 10.1016/j.ebiom.2021.103697
- Published
- 2021-12-01
- Container
- EBioMedicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ebiom.2021.103697,
title = {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.},
author = {Sinha P and Spicer A and Delucchi KL and McAuley DF and Calfee CS and Churpek MM.},
year = {2021},
journal = {EBioMedicine},
doi = {10.1016/j.ebiom.2021.103697},
url = {https://doi.org/10.1016/j.ebiom.2021.103697}
}RIS
TY - JOUR TI - 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. AU - Sinha P AU - Spicer A AU - Delucchi KL AU - McAuley DF AU - Calfee CS AU - Churpek MM. PY - 2021 JO - EBioMedicine DO - 10.1016/j.ebiom.2021.103697 UR - https://doi.org/10.1016/j.ebiom.2021.103697 ER -
APA
P, S., A, S., KL, D., DF, M., CS, C., & MM., C. (2021). 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.. EBioMedicine. https://doi.org/10.1016/j.ebiom.2021.103697
Source records
- europe-pmc · retrieved 2026-09-25T11:50:43.707Z
- doaj · retrieved 2026-09-25T11:50:43.701Z