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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...
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| Izdano u: | Surg Neurol Int |
|---|---|
| Glavni autori: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Scientific Scholar
2021
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8168705/ https://ncbi.nlm.nih.gov/pubmed/34084630 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.25259/SNI_222_2021 |
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