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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Bibliografiske detaljer
Udgivet i:Ann Clin Transl Neurol
Main Authors: Yu, Duo, Williams, George W., Aguilar, David, Yamal, José‐Miguel, Maroufy, Vahed, Wang, Xueying, Zhang, Chenguang, Huang, Yuefan, Gu, Yuxuan, Talebi, Yashar, Wu, Hulin
Format: Artigo
Sprog:Inglês
Udgivet: John Wiley and Sons Inc. 2020
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Research Articles
Online adgang: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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