Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage

BACKGROUND: Reliable prediction models of intracerebral hemorrhage (ICH) outcomes are needed for decision-making of the treatment. Statistically making such prediction models needs a large number of samples and time-consuming statistical analysis. Deep learning (DL), one of the artificial intelligen...

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Detalles Bibliográficos
Autores principales: Katsuki, Masahito, Kakizawa, Yukinari, Nishikawa, Akihiro, Yamamoto, Yasunaga, Uchiyama, Toshiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Scientific Scholar 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168705/
https://www.ncbi.nlm.nih.gov/pubmed/34084630
http://dx.doi.org/10.25259/SNI_222_2021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168705/
https://www.ncbi.nlm.nih.gov/pubmed/34084630
http://dx.doi.org/10.25259/SNI_222_2021

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