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Predicting Functional Outcome Using 24‐Hour Post‐Treatment Characteristics: Application of Machine Learning Algorithms in the STRATIS Registry
SUMMARY FOR SOCIAL MEDIA: @AliciaCastongu2, @FazalZaidi9, @oozaidat, @Mouhammad_Jumaa OBJECTIVE: Machine learning (ML) algorithms have emerged as powerful predictive tools in the field stroke. Here, we examine the predictive accuracy of ML models for predicting functional outcomes using 24‐hour post...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10091739/ https://www.ncbi.nlm.nih.gov/pubmed/36214566 http://dx.doi.org/10.1002/ana.26528 |