Imaging-based outcome prediction in posterior circulation stroke

BACKGROUND AND PURPOSE: We developed a machine learning model to allow early functional outcome prediction for patients presenting with posterior circulation (pc)-stroke based on CT-imaging and clinical data at admission. The proposed algorithm utilizes quantitative information from automated multid...

Descripción completa

Detalles Bibliográficos
Autores principales: Kniep, Helge C., Elsayed, Sarah, Nawabi, Jawed, Broocks, Gabriel, Meyer, Lukas, Bechstein, Matthias, Van Horn, Noel, Psychogios, Marios, Thomalla, Götz, Flottmann, Fabian, Kemmling, André, Gellißen, Susanne, Fiehler, Jens, Sporns, Peter B., Hanning, Uta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217773/
https://www.ncbi.nlm.nih.gov/pubmed/35257203
http://dx.doi.org/10.1007/s00415-022-11010-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217773/
https://www.ncbi.nlm.nih.gov/pubmed/35257203
http://dx.doi.org/10.1007/s00415-022-11010-4

Ejemplares similares