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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...
Autores principales: | Katsuki, Masahito, Kakizawa, Yukinari, Nishikawa, Akihiro, Yamamoto, Yasunaga, Uchiyama, Toshiya |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Scientific Scholar
2021
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Materias: | |
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 |
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