Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis

no code implementations • 20 Nov 2021 • George A. Pappy, Melissa D. Aczon, Randall C. Wetzel, David R. Ledbetter

The LSTM models trained with transfer learning generally performed better than the LR models, with the best LSTM model achieving an AUROC of 0. 78, vs 0. 66 for the LR, two hours after initiation.

Specificity Transfer Learning