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A Machine Learning Approach for Recruitment Prediction in Clinical Trial Design
Significant advancements have been made in recent years to optimize patient recruitment for clinical trials, however, improved methods for patient recruitment prediction are needed to support trial site selection and to estimate appropriate enrollment timelines in the trial design stage.
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