The Impact of Multi-Institution Datasets on the Generalizability of Machine Learning Prediction Models in the ICU.

Our results emphasize the importance of diverse training data for DL-based risk prediction. They suggest that as data from more hospitals become available for training, models may become increasingly generalizable. Even so, good performance at a new hospital still depended on the inclusion of compatible hospitals during training.