Predicting intervention onset in the ICU with switching state space models.
The impact of many intensive care unit interventions has not been fully quantified, especially in heterogeneous patient populations. We train unsupervised switching state autoregressive models on vital signs from the public MIMIC-III database to capture patient movement between physiological states....
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Medical Informatics Association
2020
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| Online Access: | https://hdl.handle.net/1721.1/124488 |