An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in ra...
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Randomized clinical 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 sequential analyses of two large cardiovascular outcomes RCT...
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Full title
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials
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TN_cdi_doaj_primary_oai_doaj_org_article_e5b6bceab7c2410fa2b117628815a86b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e5b6bceab7c2410fa2b117628815a86b
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ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-023-00963-z
