Home ›
Entities
› academia
› 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
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
Research article (EBioMedicine, 2021) · cited 59× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-machine-learning-clustering-algorithms-for-detecting-heterogeneity-of-treatment-effect-in-acute-respirator
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-machine-learning-clustering-algorithms-for-detecting-heterogeneity-of-treatment-effect-in-acute-respirator.
BibTeX@misc{4ortxyz_comparison-of-machine-learning-clustering-algorithms-for-detecting-heterogeneity-of-treatment-effect-in-acute-respirator_2026, author = {{4ort.xyz Knowledge Graph}}, 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}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-machine-learning-clustering-algorithms-for-detecting-heterogeneity-of-treatment-effect-in-acute-respirator}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/comparison-of-machine-learning-clustering-algorithms-for-detecting-heterogeneity-of-treatment-effect-in-acute-respirator (retrieved 2026-05-24)