Boosting the interpretability of clinical risk scores with intervention predictions

Eric Loreaux, Ke Yu, Jonas Kemp +8

Machine learning systems show significant promise for forecasting patient adverse events via risk scores. However, these risk scores implicitly encode assumptions about future inte…