Using deep learning with attention mechanism for identification of novel temporal data patterns for prediction of ICU mortality
Background and objectives: Changes in a patient's condition over time are a backbone of clinical decision making. However, most currently used methods for identification of patients in intensive care units (ICUs) at high risk for death do not make effective use of the temporal dimension of avai...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |