Predicting Functional Outcome Using 24‐hour Post‐treatment Characteristics: Application of Machine Learning Algorithms in the STRATIS Registry

In this substudy, we found similar predictive accuracy for functional outcome when using the 24-hour NIHSS score as a continuous or dichotomous variable in ML models. ML models had moderate-to-good predictive accuracy, with RF outperforming LR models. External validation of these ML models is warranted. ANN NEUROL 2023;93:40-49.