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Using machine learning to uncover heterogeneity of beta blocker response in heart failure
A recent study by Karwath et al.(1) in The Lancet applied machine learning-based cluster analysis to pooled data from nine double-blind, randomized controlled trials of beta blockers, identifying subgroups of efficacy in patients with sinus rhythm and atrial fibrillation.
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784765/ https://www.ncbi.nlm.nih.gov/pubmed/35106513 http://dx.doi.org/10.1016/j.xcrm.2021.100504 |