Deep learning for automatically predicting early haematoma expansion in Chinese patients

BACKGROUND AND PURPOSE: Early haematoma expansion is determinative in predicting outcome of intracerebral haemorrhage (ICH) patients. The aims of this study are to develop a novel prediction model for haematoma expansion by applying deep learning model and validate its prediction accuracy. METHODS:...

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Detalles Bibliográficos
Autores principales: Zhong, Jia-wei, Jin, Yu-jia, Song, Zai-jun, Lin, Bo, Lu, Xiao-hui, Chen, Fang, Tong, Lu-sha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717770/
https://www.ncbi.nlm.nih.gov/pubmed/33526630
http://dx.doi.org/10.1136/svn-2020-000647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717770/
https://www.ncbi.nlm.nih.gov/pubmed/33526630
http://dx.doi.org/10.1136/svn-2020-000647

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