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Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design
Overly restrictive eligibility criteria for clinical trials may limit the generalizability of the trial results to their target real-world patient populations. We developed a novel machine learning approach using large collections of real-world data (RWD) to better inform clinical trial eligibility...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837131/ https://www.ncbi.nlm.nih.gov/pubmed/36635438 http://dx.doi.org/10.1038/s41598-023-27856-1 |