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Fig. 6 | BioData Mining

Fig. 6

From: Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit

Fig. 6

The impacts of the top 20 features on predictions of LSTM_1. Each colored dot of the plot demonstrated the impact of a feature on the prediction for a 4-h window in the time sequence of a patient. The color bar represented the feature value, from low (blue) to high (red). The x-axis indicated the impacts on the model output, driving the prediction towards extubation failure (positive SHAP value) or towards extubation success (negative SHAP value). Abbreviations: GLU glucose, PEEP positive end expiratory pressure, Pmean mean airway pressure, Ppeak peak inspiratory pressure, P/F PaO2/FiO2

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BioData Mining

ISSN: 1756-0381