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.

Sinha P, Spicer A, Delucchi KL, McAuley DF, Calfee CS, Churpek MM.

Open source

DOI
10.1016/j.ebiom.2021.103697
Published
2021-12-01
Container
EBioMedicine
Publisher
Not recorded
Open access
yes

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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

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