BRADYCARDIA-BINARY-CLASS

The bradycardia EWS (early warning system) binary classification/prediction model uses a hybrid CNN/RNN system. The CNN extracts features from the data, and the large RNN (bidirectional LSTM) captures long-term dependencies inside the data. Trained off alonso130r/bradycardia-balanced (augmented to have a 50/50 ratio of bradycardia to no bradycardia) and evaluated on alonso130r/HTR-2024-brachy.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Datasets used to train alonso130r/bradycardia-binary-class