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An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized controlled trials
Randomized controlled trials (RCT) represent the cornerstone of evidence-based medicine but are resource-intensive. We propose and evaluate a machine learning (ML) strategy of adaptive predictive enrichment through computational trial phenomaps to optimize RCT enrollment. In simulated group sequenti...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635225/ https://www.ncbi.nlm.nih.gov/pubmed/37961715 http://dx.doi.org/10.1101/2023.06.18.23291542 |