Enhancing site selection strategies in clinical trial recruitment using real-world data modeling
Lars Hulstaert,
Isabell Twick,
Khaled Sarsour
et al.
Abstract:Slow patient enrollment or failing to enroll the required number of patients is a disruptor of clinical trial timelines. To meet the planned trial recruitment, site selection strategies are used during clinical trial planning to identify research sites that are most likely to recruit a sufficiently high number of subjects within trial timelines. We developed a machine learning approach that outperforms baseline methods to rank research sites based on their expected recruitment in future studies. Indication lev… Show more
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