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Identifying Modifiable Predictors of Patient Outcomes after Intracerebral Hemorrhage with Machine Learning
BACKGROUND/OBJECTIVE: Demonstrating a benefit of acute treatment to patients with intracerebral hemorrhage (ICH) requires identifying which patients have a potentially modifiable outcome, where treatment could favorably shift a patient’s expected outcome. A decision rule for which patients have a mo...
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| Gepubliceerd in: | Neurocrit Care |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7648730/ https://ncbi.nlm.nih.gov/pubmed/32385834 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12028-020-00982-8 |
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