Journeying through the galaxy of bits and bytes.
Part 2: Predicting clinical trial outcomes using XGBoost In the first part of this series I focused on embedding multi-modal real-world data derived from ClinicalTrials.gov. In this article I will implement a basic XGBoost model, train it on the embeddings we
Part 1: Multi-modal health data embedding I recently came across this article: HINT: Hierarchical interaction network for clinical-trial-outcome predictions from Fu et al. It’s an interesting application of real-world data science, and it inspired me to create my own project
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