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Fig. 4 | BMC Anesthesiology

Fig. 4

From: Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network

Fig. 4

Diagrammatic view of the dynamic prediction of mortality risk in ICU patients by attention-based TCN. (A) Data flow and dynamic prediction are briefly explained by timelines. (B) The instructions of predicting the mortality risk of a new critical patient during the treatment in ICU. T is determined by patient’s main diagnosis and specific condition; P is defined as the prediction of mortality risk at different time point. H, high mortality risk; L, Low mortality risk; IC, Intensive Monitoring and Intensive Treatment; IR, Intensive Monitoring and Routine Treatment

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BMC Anesthesiology

ISSN: 1471-2253

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