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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Bibliographic Details
Published in:Neurocrit Care
Main Authors: Hall, Andrew N, Weaver, Bradley, Liotta, Eric, Maas, Matthew B, Faigle, Roland, Mroczek, Daniel K, Naidech, Andrew M
Format: Artigo
Language:Inglês
Published: 2021
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Article
Online Access: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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