Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores

Reliable prediction of outcomes of aneurysmal subarachnoid hemorrhage (aSAH) based on factors available at patient admission may support responsible allocation of resources as well as treatment decisions. Radiographic and clinical scoring systems may help clinicians estimate disease severity, but th...

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Detalles Bibliográficos
Autores principales: Dengler, Nora Franziska, Madai, Vince Istvan, Unteroberdörster, Meike, Zihni, Esra, Brune, Sophie Charlotte, Hilbert, Adam, Livne, Michelle, Wolf, Stefan, Vajkoczy, Peter, Frey, Dietmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490233/
https://www.ncbi.nlm.nih.gov/pubmed/33474607
http://dx.doi.org/10.1007/s10143-020-01453-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490233/
https://www.ncbi.nlm.nih.gov/pubmed/33474607
http://dx.doi.org/10.1007/s10143-020-01453-6

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