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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Bibliografiska uppgifter
I publikationen:Surg Neurol Int
Huvudupphovsmän: Katsuki, Masahito, Kakizawa, Yukinari, Nishikawa, Akihiro, Yamamoto, Yasunaga, Uchiyama, Toshiya
Materialtyp: Artigo
Språk:Inglês
Publicerad: Scientific Scholar 2021
Ämnen:
Original Article
Länkar: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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