An attention based deep learning model of clinical events in the intensive care unit - PLOS ONE

journal.pone.0211057.g003.PNG

This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an attention mechanism to predict daily sepsis, myocardial infarction (MI), and vancomycin antibiotic administration over two week patient ICU courses in the MIMIC-III dataset.

Kaji, D. A. et al. An attention based deep learning model of clinical events in the intensive care unit. PLoS One 14, e0211057 (2019).

Eric Oermann