Enhancing the prediction for shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage using a machine learning approach

Early and reliable prediction of shunt-dependent hydrocephalus (SDHC) after aneurysmal subarachnoid hemorrhage (aSAH) may decrease the duration of in-hospital stay and reduce the risk of catheter-associated meningitis. Machine learning (ML) may improve predictions of SDHC in comparison to traditiona...

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Detalles Bibliográficos
Autores principales: Frey, Dietmar, Hilbert, Adam, Früh, Anton, Madai, Vince Istvan, Kossen, Tabea, Kiewitz, Julia, Sommerfeld, Jenny, Vajkoczy, Peter, Unteroberdörster, Meike, Zihni, Esra, Brune, Sophie Charlotte, Wolf, Stefan, Dengler, Nora Franziska
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439049/
https://www.ncbi.nlm.nih.gov/pubmed/37596512
http://dx.doi.org/10.1007/s10143-023-02114-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439049/
https://www.ncbi.nlm.nih.gov/pubmed/37596512
http://dx.doi.org/10.1007/s10143-023-02114-0

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