Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach
Abstract The vast quantities of data generated and collected in the Intensive Care Unit (ICU) have given rise to large retrospective datasets that are frequently used for observational studies. The temporal nature and fine granularity of much of the data collected in the ICU enable the pursuit of pr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-67952-0 |