Practical guide to <scp>SHAP</scp> analysis: Explaining supervised machine learning model predictions in drug development

Abstract Despite increasing interest in using Artificial Intelligence (AI) and Machine Learning (ML) models for drug development, effectively interpreting their predictions remains a challenge, which limits their impact on clinical decisions. We address this issue by providing a practical guide to S... View More