An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials

An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials

Abstract 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 s...

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Bibliographic Details
Main Authors: Evangelos K. Oikonomou, Phyllis M. Thangaraj, Deepak L. Bhatt, Joseph S. Ross, Lawrence H. Young, Harlan M. Krumholz, Marc A. Suchard, Rohan Khera
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-023-00963-z

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https://doi.org/10.1038/s41746-023-00963-z

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