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Easily created prediction model using deep learning software (Prediction One, Sony Network Communications Inc.) for subarachnoid hemorrhage outcomes from small dataset at admission
BACKGROUND: Reliable prediction models of subarachnoid hemorrhage (SAH) outcomes are needed for decision-making of the treatment. SAFIRE score using only four variables is a good prediction scoring system. However, making such prediction models needs a large number of samples and time-consuming stat...
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| Опубликовано в: : | Surg Neurol Int |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Scientific Scholar
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7771510/ https://ncbi.nlm.nih.gov/pubmed/33408908 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.25259/SNI_636_2020 |
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