Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients

OBJECTIVE: Subarachnoid hemorrhage (SAH) is often devastating with increased early mortality, particularly in those with presumed delayed cerebral ischemia (DCI). The ability to accurately predict survival for SAH patients during the hospital course would provide valuable information for healthcare...

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Detaylı Bibliyografya
Yayımlandı:Ann Clin Transl Neurol
Asıl Yazarlar: Yu, Duo, Williams, George W., Aguilar, David, Yamal, José‐Miguel, Maroufy, Vahed, Wang, Xueying, Zhang, Chenguang, Huang, Yuefan, Gu, Yuxuan, Talebi, Yashar, Wu, Hulin
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: John Wiley and Sons Inc. 2020
Konular:
Research Articles
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7664270/
https://ncbi.nlm.nih.gov/pubmed/32990362
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acn3.51208
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