Machine learning prediction of hematoma expansion in acute intracerebral hemorrhage

To examine whether machine learning (ML) approach can be used to predict hematoma expansion in acute intracerebral hemorrhage (ICH) with accuracy and widespread applicability, we applied ML algorithms to multicenter clinical data and CT findings on admission. Patients with acute ICH from three hospi...

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Detalles Bibliográficos
Autores principales: Tanioka, Satoru, Yago, Tetsushi, Tanaka, Katsuhiro, Ishida, Fujimaro, Kishimoto, Tomoyuki, Tsuda, Kazuhiko, Ikezawa, Munenari, Araki, Tomohiro, Miura, Yoichi, Suzuki, Hidenori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304401/
https://www.ncbi.nlm.nih.gov/pubmed/35864139
http://dx.doi.org/10.1038/s41598-022-15400-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304401/
https://www.ncbi.nlm.nih.gov/pubmed/35864139
http://dx.doi.org/10.1038/s41598-022-15400-6

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